Adaptive-weighted A* improves pathfinding with heuristic rewards; survey reviews LLM search agents, optimization, evaluation.

## LLM-Based Deep Search Agents The first paper provides a systematic investigation of Search Agents, described as independent LLM-based entities adept in planning, conducting multi-turn retrievals, and integrating information from multiple sources. Search has changed from traditional keyword matching to agentic search, where models proactively control the seeking process through adaptive reasoning instead of following fixed rules.