LLM agents improve adaptability by first using an interaction budget for systematic exploration measured via Exploration Checkpoint Coverage before executing tasks.
SWE-bench: Can language models resolve real-world github issues? In The Twelfth International Conference on Learning Representations
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Look Before You Leap: Autonomous Exploration for LLM Agents
LLM agents improve adaptability by first using an interaction budget for systematic exploration measured via Exploration Checkpoint Coverage before executing tasks.
- Verifiable Process Rewards for Agentic Reasoning