ArbGraph resolves conflicts in RAG evidence by constructing a conflict-aware graph of atomic claims and applying intensity-driven iterative arbitration to suppress unreliable claims prior to generation.
MCTS-RAG: enhancing retrieval- augmented generation with monte carlo tree search.CoRR, abs/2503.20757
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PRISM-MCTS improves MCTS-based reasoning efficiency by maintaining a shared memory of heuristics and fallacies reinforced by a process reward model, halving required trajectories on GPQA while outperforming prior methods.
WebThinker equips large reasoning models with autonomous web exploration and interleaved reasoning-drafting via a Deep Web Explorer and RL-based DPO training, yielding gains on GPQA, GAIA, and report-generation benchmarks.
citing papers explorer
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ArbGraph: Conflict-Aware Evidence Arbitration for Reliable Long-Form Retrieval-Augmented Generation
ArbGraph resolves conflicts in RAG evidence by constructing a conflict-aware graph of atomic claims and applying intensity-driven iterative arbitration to suppress unreliable claims prior to generation.
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PRISM-MCTS: Learning from Reasoning Trajectories with Metacognitive Reflection
PRISM-MCTS improves MCTS-based reasoning efficiency by maintaining a shared memory of heuristics and fallacies reinforced by a process reward model, halving required trajectories on GPQA while outperforming prior methods.
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WebThinker: Empowering Large Reasoning Models with Deep Research Capability
WebThinker equips large reasoning models with autonomous web exploration and interleaved reasoning-drafting via a Deep Web Explorer and RL-based DPO training, yielding gains on GPQA, GAIA, and report-generation benchmarks.