Scikit-learn
Joblib
English
protocol-routing
llm-routing
multi-agent-systems
cost-aware-inference
protocol-selection
calibration
reasoning
reproducibility
emnlp2026
Instructions to use AgentsSci/EMNLP_Cost-Aware-Protocol-Routing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use AgentsSci/EMNLP_Cost-Aware-Protocol-Routing with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("AgentsSci/EMNLP_Cost-Aware-Protocol-Routing", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Title it a model card and drop the research-artifact tag, now that a checkpoint ships
Browse files
README.md
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datasets:
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- AgentsSci/EMNLP_Cost-Aware-Protocol-Routing
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tags:
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- llm-routing
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- multi-agent-systems
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# Cost-Aware Protocol Routing —
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**EMNLP 2026 Accepted Paper**
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*LLMs Can Predict Failure Risk, But Struggle to Predict Which Collaboration Protocol Pays Off: Cost-Aware Protocol Routing Across Reasoning Tasks*
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## Read this first: what this
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**This is not a language model.** It contains no foundation-model weights. The
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paper evaluates two third-party solver families — `openai/gpt-oss-120b` and
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datasets:
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- AgentsSci/EMNLP_Cost-Aware-Protocol-Routing
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tags:
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- protocol-routing
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- llm-routing
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- multi-agent-systems
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- cost-aware-inference
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- en
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---
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# Cost-Aware Protocol Routing — router model card
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**EMNLP 2026 Accepted Paper**
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*LLMs Can Predict Failure Risk, But Struggle to Predict Which Collaboration Protocol Pays Off: Cost-Aware Protocol Routing Across Reasoning Tasks*
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---
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## Read this first: what this model is, and is not
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**This is not a language model.** It contains no foundation-model weights. The
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paper evaluates two third-party solver families — `openai/gpt-oss-120b` and
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