Channel Selection for Mixture-of-Experts Decoding Needs No Calibration Data
Paper • 2610.37386 • Published • 25
Sehee Kim
SeheeKim
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Channel Selection for Mixture-of-Experts Decoding Needs No Calibration Data upvoted a paper 7 days ago
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papers about 1 month ago
Mid-Harness: Scaling Actions Between Model and Harness for Terminal Agents
Paper • 2609.39982 • Published • 97
EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific Discovery
Paper • 2609.40340 • Published • 94
Follow the Entities: A Corpus Map for Agentic Search
Paper • 2609.37226 • Published • 69
Surprising Success, Repeated Failure: Entropy-Guided Credit Assignment for Exploration in LLM Reasoning
Paper • 2609.33781 • Published • 45
Knowing When Thinking Is Not Enough: Teaching Small Reasoning Models to Reason Beyond Their Parametric Knowledge
Paper • 2609.34327 • Published • 40
upvoted a paper about 2 months ago