CoEvoke: Evoking Multi-Agent Collaboration for Trajectory Collection
cs.LG, cs.AI, cs.MA, cs.SE
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- Training Verifiers to Solve Math Word Problems
- CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
- DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
- Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
- AgentBench: Evaluating LLMs as Agents
- AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
- MALT: Improving Reasoning with Multi-Agent LLM Training
- Solving math word problems with process- and outcome-based feedback
- Self-Consistency Improves Chain of Thought Reasoning in Language Models
- ReAct: Synergizing Reasoning and Acting in Language Models
- Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
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