| id,name,description,attributes | |
| active-prompt,Active-Prompt,,"{""input"": ""Training set → k answers/question → uncertainty ranked → top-n human-annotated → few-shot"", ""output"": ""Uncertainty-informed CoT answer"", ""cost"": ""high"", ""llm_calls"": ""k × |train| + 1"", ""requires_external"": ""human annotators"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| agentic-rag,Agentic RAG,,"{""input"": ""Query → autonomous agent with retrieval/tool access"", ""output"": ""Goal-directed, multi-step grounded answer"", ""cost"": ""very_high"", ""llm_calls"": ""iterative + tools"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt""], ""fails_at"": []}" | |
| ama,Ask Me Anything (AMA),,"{""input"": ""Query → reformulated as multiple open-ended questions → answered → aggregated"", ""output"": ""Aggregated multi-perspective answer"", ""cost"": ""high"", ""llm_calls"": ""Q reformulations + Q answers + aggregation"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| analogical-reasoning,Analogical Reasoning,,"{""input"": ""Query → LLM generates similar solved examples → solves original"", ""output"": ""Self-generated analogues + solution → answer"", ""cost"": ""moderate"", ""llm_calls"": ""2-3"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| ape,Automatic Prompt Engineer (APE),,"{""input"": ""Input-output examples → LLM generates candidate prompts → scored → selected"", ""output"": ""Optimized prompt instruction"", ""cost"": ""very_high"", ""llm_calls"": ""many (generation + scoring + search)"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| art,Automatic Reasoning and Tool-Use (ART),,"{""input"": ""Query → task library retrieval → structured program → tool execution"", ""output"": ""Multi-step tool-augmented answer"", ""cost"": ""high"", ""llm_calls"": ""1 + tools"", ""requires_external"": ""task library + tools"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| auto-cot,Automatic Chain-of-Thought (Auto-CoT),,"{""input"": ""Question pool → clustered → auto-generated CoT exemplars + query"", ""output"": ""Reasoning trace → answer"", ""cost"": ""moderate"", ""llm_calls"": ""K+1 (K clusters)"", ""requires_large_model"": true, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| binder,Binder,,"{""input"": ""Query → parsed to program binding LLM API as function → executed"", ""output"": ""Program output (neural-symbolic)"", ""cost"": ""moderate"", ""llm_calls"": ""1 + code exec"", ""source_papers"": [""Survey of Prompt Engineering Methods - Vatsal et al.txt""], ""fails_at"": []}" | |
| bot,Buffer of Thoughts (BoT),,"{""input"": ""Query → retrieve thought-template → instantiate reasoning"", ""output"": ""Template-guided reasoning → answer"", ""cost"": ""moderate"", ""llm_calls"": 2, ""note"": ""12% of ToT computational cost"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| ccot,Contrastive Chain-of-Thought (CCoT),,"{""input"": ""Query + valid AND invalid reasoning demonstrations"", ""output"": ""Improved reasoning trace → answer"", ""cost"": ""low"", ""llm_calls"": 1, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| cd-cot,Contrastive Denoising with Noisy CoT (CD-CoT),,"{""input"": ""Query + diverse noisy CoT samples"", ""output"": ""Denoised majority answer"", ""cost"": ""high"", ""llm_calls"": ""N samples"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| chain-of-table,Chain of Table Prompting,,"{""input"": ""Table + query → iterative table operations (add_col, sort, filter) → answer"", ""output"": ""Evolved table representation → answer"", ""cost"": ""high"", ""llm_calls"": ""iterative (plan + execute per step)"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| chameleon,Chameleon,,"{""input"": ""Query → LLM plans tool sequence → orchestrates execution"", ""output"": ""Multi-tool composed answer"", ""cost"": ""very_high"", ""llm_calls"": ""planner + tools"", ""source_papers"": [""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt""], ""fails_at"": []}" | |
| coc,Chain of Code (CoC) Prompting,,"{""input"": ""Query → LLM generates code + LMulator simulates non-executable parts"", ""output"": ""Interleaved execution + simulation → answer"", ""cost"": ""moderate"", ""llm_calls"": ""2+ (gen + simulate)"", ""note"": ""84% on BIG-Bench Hard (+12%)"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| cod,Chain of Draft (CoD),,"{""input"": ""Query + instruction for minimal-draft reasoning"", ""output"": ""Concise reasoning tokens → answer"", ""cost"": ""minimal"", ""llm_calls"": 1, ""token_savings"": ""80% fewer tokens than CoT"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| code-prompting,Code Prompting,,"{""input"": ""Query → LLM generates code representation of conditional logic"", ""output"": ""Code-structured reasoning → answer"", ""cost"": ""low"", ""llm_calls"": 1, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| coe,Chain-of-Event (CoE),,"{""input"": ""Document → event extraction → generalization → filtering → chronological integration"", ""output"": ""Concise event-based summary"", ""cost"": ""moderate"", ""llm_calls"": 4, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| cok,Chain-of-Knowledge (CoK) Prompting,,"{""input"": ""Query → reasoning prep → dynamic knowledge adaptation from heterogeneous sources"", ""output"": ""Knowledge-corrected rationale → answer"", ""cost"": ""high"", ""llm_calls"": ""3+ (prep, adapt, consolidate)"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| complex-cot,Complex CoT,,"{""input"": ""Query + longest/most-complex available exemplars"", ""output"": ""N sampled complex chains → top-K voted answer"", ""cost"": ""high"", ""llm_calls"": ""N samples"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| con,Chain-of-Note (CoN) Prompting,,"{""input"": ""Query + retrieved docs → systematic note-taking scoring relevance"", ""output"": ""Relevance-filtered grounded answer"", ""cost"": ""moderate"", ""llm_calls"": 2, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| contrastive-sc,Contrastive Self-Consistency,,"{""input"": ""Contrastive CoT prompt → N samples"", ""output"": ""Majority voted answer from contrastive samples"", ""cost"": ""high"", ""llm_calls"": ""N samples"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| coop,Context Optimization (CoOp),Added from post-migration paper pass over all raw papers.,"{""source_papers"": [""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt""], ""provisional"": true}" | |
| cos,Chain-of-Symbol (CoS) Prompting,,"{""input"": ""Query + few-shot with symbolic spatial representations"", ""output"": ""Symbolic reasoning chain → answer"", ""cost"": ""low"", ""llm_calls"": 1, ""token_savings"": ""More compact than NL CoT"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| cot,Chain-of-Thought (CoT) Prompting,,"{""input"": ""Query + exemplars with reasoning steps"", ""output"": ""Reasoning trace → final answer"", ""cost"": ""low"", ""llm_calls"": 1, ""requires_large_model"": true, ""note"": ""Emergent at ≥100B params (PaLM-540B)"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": [""math-tabular""]}" | |
| cove,Chain-of-Verification (CoVe),,"{""input"": ""Query → draft response → verification Qs → verified revision"", ""output"": ""Hallucination-reduced answer"", ""cost"": ""high"", ""llm_calls"": ""4+ (generate, plan, verify, revise)"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| critic,CRITIC Framework,,"{""input"": ""Query → draft → external tools evaluate → LLM refines → iterate"", ""output"": ""Externally validated refined answer"", ""cost"": ""high"", ""llm_calls"": ""iterative + tool calls"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| cumulative-reasoning,Cumulative Reasoning,,"{""input"": ""Query → proposer suggests steps → verifier validates → accumulate → reporter synthesizes"", ""output"": ""DAG of verified propositions → final answer"", ""cost"": ""very_high"", ""llm_calls"": ""many (propose → verify → report cycles)"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| dater,DATER,,"{""input"": ""Large table → decompose to sub-tables → SQL sub-queries → few-shot reasoning"", ""output"": ""Sub-table + sub-query answers → final answer"", ""cost"": ""high"", ""llm_calls"": ""3+ + SQL exec"", ""source_papers"": [""Survey of Prompt Engineering Methods - Vatsal et al.txt""], ""fails_at"": []}" | |
| decomp,Decomposed Prompting (DecomP),,"{""input"": ""Query → hierarchical/recursive decomposition → sub-LM solvers"", ""output"": ""Aggregated sub-answers → final answer"", ""cost"": ""high"", ""llm_calls"": ""1 + N sub-solvers + tools"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| detox-chain,Detox-Chain,,"{""input"": ""Toxic text → identify toxic elements → substitute → generate safe output"", ""output"": ""Detoxified prompt/response"", ""cost"": ""moderate"", ""llm_calls"": ""2-3"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| diverse,DiVeRSe,,"{""input"": ""Multiple diverse prompts → completions → step-aware verifier → vote"", ""output"": ""Step-verified voted answer"", ""cost"": ""very_high"", ""llm_calls"": ""K prompts × N samples + verifier"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| echo,Self-Harmonized CoT (ECHO),,"{""input"": ""Question pool → clustered → diverse rationales unified"", ""output"": ""Harmonized reasoning → answer"", ""cost"": ""moderate"", ""llm_calls"": ""K+2"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| eedp,End-to-End DAG-Path (EEDP) Prompting,,"{""input"": ""Entity-linked DAG → backbone path extraction"", ""output"": ""Flattened path input → answer"", ""cost"": ""moderate"", ""llm_calls"": 1, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| emotion-prompting,Emotion Prompting,,"{""input"": ""Query + emotional stimulus sentences appended"", ""output"": ""Emotionally enhanced response"", ""cost"": ""minimal"", ""llm_calls"": 1, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| ensemble-refinement,Ensemble Refinement (ER),,"{""input"": ""CoT prompt → N generations → concatenate → M refinements → vote"", ""output"": ""Refined majority-voted answer"", ""cost"": ""high"", ""llm_calls"": ""N + M + voting"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| faithful-cot,Faithful CoT,,"{""input"": ""Query → NL decomposition → symbolic program (Python/Datalog)"", ""output"": ""Interpretable symbolic reasoning → executed answer"", ""cost"": ""moderate"", ""llm_calls"": ""1 + code exec"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| fed-sp-dp,Federated SP/DP Self-Consistency/CoT,,"{""input"": ""Query paraphrased (same/diff params) → answered → SC/CoT federated"", ""output"": ""Majority-voted or hint-guided answer"", ""cost"": ""high"", ""llm_calls"": ""K paraphrases + K answers + voting"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| few-shot,Few-Shot Prompting,,"{""input"": ""Query + demonstration examples"", ""output"": ""Answer following demonstrated pattern"", ""cost"": ""low"", ""llm_calls"": 1, ""requires_large_model"": false, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| generated-knowledge,Generated Knowledge Prompting,Added from post-migration paper pass over all raw papers.,"{""source_papers"": [""Survey of Prompt Engineering Methods - Vatsal et al.txt""], ""provisional"": true}" | |
| gnn-rag,GNN-RAG,,"{""input"": ""Query → GNN reasons over KG → LLM generates from subgraph"", ""output"": ""GNN-extracted answer candidates → NL answer"", ""cost"": ""high"", ""llm_calls"": ""1 + GNN inference"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt""], ""fails_at"": []}" | |
| gorilla,Gorilla,,"{""input"": ""Query → LLM selects/generates correct API call from large catalog"", ""output"": ""Correct API invocation + result"", ""cost"": ""moderate"", ""llm_calls"": 1, ""source_papers"": [""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt""], ""fails_at"": []}" | |
| got,Graph-of-Thought (GoT) Prompting,,"{""input"": ""Query → DAG of interconnected thoughts"", ""output"": ""Synthesized solution from graph traversal"", ""cost"": ""very_high"", ""llm_calls"": ""many"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| graph-rag,GraphRAG,,"{""input"": ""Query → KG-based retrieval + community summarization"", ""output"": ""KG-grounded answer"", ""cost"": ""high"", ""llm_calls"": ""1 + KG traversal"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt""], ""fails_at"": []}" | |
| hag,HAG (Hyperparameter-Aware Generation),,"{""input"": ""Query → LLM generates optimal decoding hyperparameters → generates with them"", ""output"": ""Self-configured optimally decoded response"", ""cost"": ""moderate"", ""llm_calls"": 2, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| hugginggpt,HuggingGPT,,"{""input"": ""Query → task planning → model selection → execution → response integration"", ""output"": ""Multi-model orchestrated answer"", ""cost"": ""very_high"", ""llm_calls"": ""planner + N model calls"", ""source_papers"": [""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt""], ""fails_at"": []}" | |
| hyde,HyDE (Hypothetical Document Embeddings),,"{""input"": ""Query → LLM generates hypothetical doc → used as retrieval query"", ""output"": ""Better-aligned retrieved documents"", ""cost"": ""moderate"", ""llm_calls"": ""1 + retrieval"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| iap,Instance-Adaptive Prompting (IAP),,"{""input"": ""Query → saliency/uncertainty scoring → adapted prompt"", ""output"": ""Instance-tuned reasoning → answer"", ""cost"": ""moderate"", ""llm_calls"": 2, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| instructed-prompting,Instructed Prompting,,"{""input"": ""Query + explicit instruction to ignore irrelevant info"", ""output"": ""Direct answer (distraction-free)"", ""cost"": ""minimal"", ""llm_calls"": 1, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| least-to-most,Least-to-Most Prompting,,"{""input"": ""Query → decomposition prompt → sub-Qs solved sequentially"", ""output"": ""Sequential sub-answers → final answer"", ""cost"": ""moderate"", ""llm_calls"": ""1 + N sub-problems"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| logic-of-thought,Logic-of-Thought Prompting,,"{""input"": ""Query → extract propositions → apply logic laws → augmented prompt"", ""output"": ""Logic-augmented reasoning → answer"", ""cost"": ""moderate"", ""llm_calls"": 2, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| logicot,Logical CoT (LogiCoT) Prompting,,"{""input"": ""Query + reductio-ad-absurdum verification loop"", ""output"": ""Verified reasoning trace → answer"", ""cost"": ""high"", ""llm_calls"": ""iterative"", ""requires_large_model"": true, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| lot-layer,Layer-of-Thoughts (LoT),,"{""input"": ""Query + hierarchical constraint layers (hard → soft)"", ""output"": ""Filtered candidates → answer"", ""cost"": ""moderate"", ""llm_calls"": ""layers"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| maieutic,Maieutic Prompting,,"{""input"": ""Query → recursive hypothesis generation → tree of propositions → belief scoring"", ""output"": ""Contradiction-free answer"", ""cost"": ""very_high"", ""llm_calls"": ""recursive (many)"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| mathprompter,MathPrompter,,"{""input"": ""Query → algebraic expression with variables → Python function → multi-run validation"", ""output"": ""Verified numerical answer"", ""cost"": ""moderate"", ""llm_calls"": ""2 + N validations + code exec"", ""source_papers"": [""Survey of Prompt Engineering Methods - Vatsal et al.txt""], ""fails_at"": []}" | |
| meta-rag,MetaRAG,,"{""input"": ""Retrieved info + metacognitive monitoring/evaluation/planning"", ""output"": ""Metacognitively refined answer"", ""cost"": ""high"", ""llm_calls"": ""3+ (monitor + evaluate + plan)"", ""source_papers"": [""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt""], ""fails_at"": []}" | |
| metacognitive,Metacognitive Prompting (MP),,"{""input"": ""Query → 5 stages: understand → judge → evaluate → decide → confidence"", ""output"": ""Multi-stage self-reflective answer + confidence"", ""cost"": ""moderate"", ""llm_calls"": ""1 (structured) or 5"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| minds-eye,Mind's Eye,,"{""input"": ""Physical question → text-to-code → MuJoCo simulation → NL answer"", ""output"": ""Physically grounded answer"", ""cost"": ""high"", ""llm_calls"": ""2 + physics sim"", ""requires_external"": ""MuJoCo physics engine"", ""source_papers"": [], ""fails_at"": []}" | |
| mrkl,MRKL System,,"{""input"": ""Query → routed to specialized module APIs → integrated result"", ""output"": ""Multi-module integrated answer"", ""cost"": ""high"", ""llm_calls"": ""1 router + K module calls"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| multi-agent-debate,Multi-Agent Debate (MAD),,"{""input"": ""Query → N agents debate iteratively → judge selects best answer"", ""output"": ""Consensus answer from multi-agent deliberation"", ""cost"": ""very_high"", ""llm_calls"": ""N agents × K rounds + judge"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| multibot,MultiPoT,,"{""input"": ""Query → solutions in multiple PLs → SC selects best"", ""output"": ""Best cross-PL executed answer"", ""cost"": ""high"", ""llm_calls"": ""K languages + code exec + voting"", ""source_papers"": [""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt""], ""fails_at"": []}" | |
| not,Narrative-of-Thought (NoT) Prompting,,"{""input"": ""Query → temporally ordered narrative construction"", ""output"": ""Grounded narrative → answer"", ""cost"": ""low"", ""llm_calls"": 1, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| opro,Optimization by Prompting (OPRO),,"{""input"": ""Meta-prompt with optimization trajectory (solution,score pairs) → LLM proposes new solutions"", ""output"": ""Optimized prompt / solution"", ""cost"": ""very_high"", ""llm_calls"": ""iterative (many rounds)"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| pal,Program-Aided Language Models (PAL),,"{""input"": ""Query → LLM generates interleaved NL + Python code"", ""output"": ""Code execution → answer"", ""cost"": ""moderate"", ""llm_calls"": ""1 + code exec"", ""requires_external"": ""Python interpreter"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| plan-and-solve,Plan-and-Solve (PS) Prompting,,"{""input"": ""Query + 'Let's first understand and devise a plan…'"", ""output"": ""Plan → step-by-step solution → answer"", ""cost"": ""low"", ""llm_calls"": 1, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| pot,Program of Thoughts (PoT) Prompting,,"{""input"": ""Query → LLM generates Python program expressing reasoning"", ""output"": ""Executed code output → numerical answer"", ""cost"": ""moderate"", ""llm_calls"": ""1 + code exec"", ""requires_external"": ""Python interpreter"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| prompt-boosting,PromptBoosting,,"{""input"": ""Prepared prompt set → AdaBoost-style iterative selection/weighting"", ""output"": ""Ensemble-boosted classification"", ""cost"": ""high"", ""llm_calls"": ""10+ per instance"", ""source_papers"": [""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt""], ""fails_at"": []}" | |
| query2doc,Query2Doc,,"{""input"": ""Query → LLM generates pseudo-document → concat with query for retrieval"", ""output"": ""Expanded query → improved retrieval"", ""cost"": ""moderate"", ""llm_calls"": ""1 + retrieval"", ""source_papers"": [""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt""], ""fails_at"": []}" | |
| r-cot,Reverse Chain-of-Thought (R-CoT),,"{""input"": ""Query → generate answer → reverse-verify by reconstructing problem"", ""output"": ""Verified answer (reconstruction check)"", ""cost"": ""moderate"", ""llm_calls"": 2, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| rag,Retrieval Augmented Generation (RAG),,"{""input"": ""Query → retriever fetches top-k docs → query + docs"", ""output"": ""Knowledge-grounded answer"", ""cost"": ""moderate"", ""llm_calls"": ""1 + retrieval"", ""requires_external"": ""retriever + knowledge base"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| rar,Rephrase and Respond (RaR),,"{""input"": ""Query + instruction to rephrase before answering"", ""output"": ""Rephrased question + improved answer"", ""cost"": ""minimal"", ""llm_calls"": ""1 (single-turn) or 2"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| react,ReAct Prompting,,"{""input"": ""Query → interleaved Thought / Action / Observation traces"", ""output"": ""Action results + reasoning → final answer"", ""cost"": ""high"", ""llm_calls"": ""iterative + tool calls"", ""requires_external"": ""tools / envs"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| reflexion,Reflexion,,"{""input"": ""Query → actor generates trajectory → evaluator scores → reflector critiques → memory updated → retry"", ""output"": ""Iteratively improved action trace → answer"", ""cost"": ""very_high"", ""llm_calls"": ""3+ per iteration (actor + evaluator + reflector)"", ""requires_external"": ""environment / evaluator"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt""], ""fails_at"": []}" | |
| s2a,System 2 Attention (S2A) Prompting,,"{""input"": ""Query + context → LLM filters irrelevant context → answers from filtered"", ""output"": ""Attention-filtered answer"", ""cost"": ""moderate"", ""llm_calls"": 2, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| scot,Structured Chain-of-Thought (SCoT),,"{""input"": ""Query → program-structured reasoning (seq/branch/loop) → code"", ""output"": ""Structured pseudocode reasoning → generated source code"", ""cost"": ""low"", ""llm_calls"": 1, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| scratchpad,Scratchpad Prompting,,"{""input"": ""Query + instruction to emit intermediate tokens on scratchpad"", ""output"": ""Scratchpad trace + final answer"", ""cost"": ""low"", ""llm_calls"": 1, ""note"": ""Fixed 512-token context window"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| self-consistency,Self-Consistency,,"{""input"": ""CoT prompt + query (sampled N times)"", ""output"": ""Set[reasoning traces] → majority-voted answer"", ""cost"": ""high"", ""llm_calls"": ""N (typically 5-40)"", ""requires_large_model"": true, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": [""free-response""]}" | |
| self-contrast,Self-Contrast,,"{""input"": ""Query → generate multiple diverse perspectives → compare → reflect"", ""output"": ""Cross-perspective refined answer"", ""cost"": ""moderate"", ""llm_calls"": ""N perspectives + 1 reflection"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| self-discover,Self-Discover,,"{""input"": ""Task → select relevant reasoning modules → adapt to task → compose into JSON reasoning structure → solve"", ""output"": ""Self-composed reasoning plan → structured solution"", ""cost"": ""high"", ""llm_calls"": ""3+ (select → adapt → implement)"", ""note"": ""Up to +42% over CoT, 10-40x less compute than CoT-SC"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| self-refine,Self-Refine Prompting,,"{""input"": ""Query → draft → self-critique → refined draft (iterative loop)"", ""output"": ""Iteratively refined output"", ""cost"": ""high"", ""llm_calls"": ""2+ per iteration"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| selfmem,Selfmem,,"{""input"": ""Iterative: memory pool of prior LLM outputs → selector picks best → next round"", ""output"": ""Progressively improved generation"", ""cost"": ""high"", ""llm_calls"": ""iterative"", ""source_papers"": [""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt""], ""fails_at"": []}" | |
| skeleton-of-thought,Skeleton-of-Thought (SoT),,"{""input"": ""Query → generate skeleton outline → parallel expansion of each point → assembly"", ""output"": ""Structured, parallel-generated response"", ""cost"": ""moderate"", ""llm_calls"": ""1 + N parallel expansions"", ""note"": ""ICLR 2024, 2x+ speedup, 60% quality maintained/improved"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| synthetic-prompting,Synthetic Prompting,,"{""input"": ""Backward (LLM generates Q from chain) + forward (chain for Q) → select by complexity"", ""output"": ""Augmented exemplars → CoT answer"", ""cost"": ""high"", ""llm_calls"": ""many (synthesis + selection)"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| take-step-back,Take a Step Back Prompting,,"{""input"": ""Query → step-back question → abstract answer → grounded answer"", ""output"": ""High-level principle → detailed answer"", ""cost"": ""moderate"", ""llm_calls"": ""2-3 (may include retrieval)"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| talm,TALM (Tool Augmented Language Models),,"{""input"": ""Query → LLM emits tool-call tokens → API called → result appended"", ""output"": ""Tool-augmented text"", ""cost"": ""moderate"", ""llm_calls"": ""1 + API calls"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| thor,Three-Hop Reasoning (THOR),,"{""input"": ""Query → identify aspect → determine opinion → infer sentiment"", ""output"": ""Aspect → Opinion → Sentiment label"", ""cost"": ""moderate"", ""llm_calls"": 3, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| thot,Thread of Thought (ThoT) Prompting,,"{""input"": ""Long chaotic context + query → segment analysis → answer"", ""output"": ""Section summaries → final answer"", ""cost"": ""moderate"", ""llm_calls"": 2, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| toolalpaca,ToolAlpaca,,"{""input"": ""Query → simulated tool-use environment → generalized tool interaction"", ""output"": ""Tool-assisted answer"", ""cost"": ""moderate"", ""llm_calls"": ""1 + tools"", ""source_papers"": [""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt""], ""fails_at"": []}" | |
| toolformer,Toolformer,,"{""input"": ""Query → self-supervised tool-call embedding in prompt"", ""output"": ""Tool-augmented response"", ""cost"": ""moderate"", ""llm_calls"": ""1 + tool calls"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt""], ""fails_at"": []}" | |
| tot,Tree-of-Thoughts (ToT) Prompting,,"{""input"": ""Query → tree of partial solutions explored via BFS/DFS"", ""output"": ""Best evaluated path → answer"", ""cost"": ""very_high"", ""llm_calls"": ""O(b^d) branching"", ""requires_large_model"": true, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| verify-and-edit,Verify-and-Edit (VE),,"{""input"": ""CoT chains → SC finds uncertain → edit chains with external knowledge → re-generate"", ""output"": ""Fact-corrected rationale → answer"", ""cost"": ""high"", ""llm_calls"": ""SC + edit + generation + retrieval"", ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": []}" | |
| zero-shot,Zero-Shot Prompting,,"{""input"": ""Query (instruction only)"", ""output"": ""Direct answer"", ""cost"": ""minimal"", ""llm_calls"": 1, ""requires_large_model"": false, ""source_papers"": [""A Comprehensive Survey of Prompt Engineering Techniques - Debnath et al.txt"", ""A comprehensive taxonomy of prompt engineering techniques - Yao-Yang Liu et al.txt"", ""Survey of Prompt Engineering Methods - Vatsal et al.txt"", ""SystematicSurveyofPromptEngineering_Sahoo_et_al.txt""], ""fails_at"": [""multi-hop-reasoning""]}" | |