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364 papers

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MCTS

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large language model (71) reinforcement learning (43) multi-agent system (19) markov decision process (16) game ai (14) partially observable markov decision process (13) retrieval-augmented generation (13) model-based reinforcement learning (12) neural network (12) language model (11)

Papers

AutoCT: Automating Interpretable Clinical Trial Prediction with LLM Agents EMNLP 2025 Autoformulation of Mathematical Optimization Models Using LLMs ICML 2025 Benchmarking Uncertainty Metrics for LLM Target-Aware Search EMNLP 2025 Better Red Teaming via Searching with Large Language Model ACL 2025 Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning ACL 2025 Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA ACL 2025 Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks ACL 2025 CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search ICLR 2025 Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks ICLR 2025 Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter EMNLP 2025 ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents ACL 2025 CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning EMNLP 2025 CoDy: Counterfactual Explainers for Dynamic Graphs ICML 2025 Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration CVPR 2025 Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling IJCAI 2025 Controlling Large Language Model with Latent Action ICML 2025 Counterfactual Online Learning for Open-Loop Monte-Carlo Planning AAAI 2025 DAMON: A Dialogue-Aware MCTS Framework for Jailbreaking Large Language Models EMNLP 2025 DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning NAACL 2025 DecoupleSearch: Decouple Planning and Search via Hierarchical Reward Modeling EMNLP 2025 Deep Generative Model for Mechanical System Configuration Design AAAI 2025 DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search ICLR 2025 Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs ACL 2025 Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values EMNLP 2025 DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models EMNLP 2025