Federation Is Nearly Free, Reasoning Is Not: Tradeoffs for AI Co-Scientists in Protein Characterization Workflows
cs.AI, cs.MA, q-bio.QM
Submitted: 2026-08-25
Updated: 2026-08-25
Terminology
Sources
- SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis
- ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
- Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
- Mutual Enhancement of Large Language and Reinforcement Learning Models through Bi-Directional Feedback Mechanisms: A Planning Case Study
- Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning
- ReFT: Reasoning with Reinforced Fine-Tuning
- ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models
- HeurekaBench: A Benchmarking Framework for AI Co-scientist
- Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents
- Proximal Policy Optimization Algorithms
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
- Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
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