LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories 事件

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories arXiv:2605.31492v1 Announce Type: new Abstract: Large language models (LLMs) often solve reasoning problems by generating intermediate traces that explore and revise partial solutions. From a search perspective, these traces can be viewed as linearized search trees, where the model extends a partial solution, abandons it when it fails, and backtracks to try alternatives. Compared with traditional heuristic-guided searc