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[ACL 2026 KnowFM] Awesome Agentic Deep Research Resources
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[AAAI 2026] AutoTool: Efficient Tool Selection for Large Language Model Agents
Official Implementation of "O-Researcher: An Open Ended Deep Research Model via Multi-Agent Distillation and Agentic RL"
HiPRAG (Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation) is a reinforcement learning method designed for training reasoning-and-searching interleaved LLMs with improved efficiency and reduced oversearching as well as undersearching behavior.
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WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection
ToolRM: Towards Agentic Tool-Use Reward Modeling
Learn to resolve ambiguity for Question Answering through RL
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