2025
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement
ICLR 2025poster
Software engineers operating in complex and dynamic environments must continuously adapt to evolving requirements, learn iteratively from experience, and reconsider their approaches based on new insights. However, current large language model (LLM)-based software agents often follow linear, sequenti…