TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Paper • 2312.09039 • Published
Mainyu Chou
zmoony
·
AI & ML interests
NLP, data analytics
Recent Activity
authored a paper 9 days ago
MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark authored a paper 9 days ago
Bingo: Boosting Efficient Reasoning of LLMs via Dynamic and
Significance-based Reinforcement LearningOrganizations
authored 19
papers 9 days ago
MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
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Bingo: Boosting Efficient Reasoning of LLMs via Dynamic and Significance-based Reinforcement Learning
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Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
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Fill the GAP: A Granular Alignment Paradigm for Visual Reasoning in Multimodal Large Language Models
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SheetBrain: A Neuro-Symbolic Agent for Accurate Reasoning over Complex and Large Spreadsheets
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GD$^2$PO: Mitigating Multi-Reward Conflicts via Group-Dynamic reward-Decoupled Policy Optimization
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Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills
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SMOPD: Multi-Reward Reinforcement Learning via Specialize-and-Merge Online Policy Distillation
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SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
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