Interpretable Contrastive Monte Carlo Tree Search Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Zitian, Niu, Boye, He, Xuzheng, Xu, Haotian, Liu, Hongzhang, Liu, Aiwei, Hu, Xuming, Wen, Lijie
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
by: Xu, Yijie, et al.
Published: (2025)

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
by: Liu, Shuliang, et al.
Published: (2022)

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation
by: Xu, Bin, et al.
Published: (2024)

Graph-O1 : Monte Carlo Tree Search with Reinforcement Learning for Text-Attributed Graph Reasoning
by: Liu, Lihui
Published: (2025)

MCTS-KBQA: Monte Carlo Tree Search for Knowledge Base Question Answering
by: Xiong, Guanming, et al.
Published: (2025)

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search
by: Li, Shuangtao, et al.
Published: (2025)

Diffusion Language Model Inference with Monte Carlo Tree Search
by: Huang, Zheng, et al.
Published: (2025)

A2R: An Asymmetric Two-Stage Reasoning Framework for Parallel Reasoning
by: Wang, Ziqi, et al.
Published: (2025)

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models
by: Liu, Shuliang, et al.
Published: (2025)

You only need 4 extra tokens: Synergistic Test-time Adaptation for LLMs
by: Xu, Yijie, et al.
Published: (2025)

Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions
by: Hu, Xuming, et al.
Published: (2024)

ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary
by: Li, Yutong, et al.
Published: (2024)

Monte Carlo Tree Search for Recipe Generation using GPT-2
by: Taneja, Karan, et al.
Published: (2024)

Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search
by: Ryu, Sangwon, et al.
Published: (2025)

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
by: Wu, Fang, et al.
Published: (2025)

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
by: Luo, Haoran, et al.
Published: (2025)

Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories
by: Liu, Peiyang, et al.
Published: (2026)

Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration
by: He, Bowei, et al.
Published: (2026)

Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities
by: Li, Zhonghao, et al.
Published: (2024)

How Do Humans Write Code? Large Models Do It the Same Way Too
by: Li, Long, et al.
Published: (2024)

Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience
by: Gu, Jiawei, et al.
Published: (2025)

Empirical-MCTS: Continuous Agent Evolution via Dual-Experience Monte Carlo Tree Search
by: Lu, Hao, et al.
Published: (2026)

Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
by: Dang, Yunkai, et al.
Published: (2024)

Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs?
by: Zhang, Junyan, et al.
Published: (2025)

Reasoning Factual Knowledge in Structured Data with Large Language Models
by: Huang, Sirui, et al.
Published: (2024)

A Semantic Invariant Robust Watermark for Large Language Models
by: Liu, Aiwei, et al.
Published: (2023)

Enhancing LLM Reasoning with Reward-guided Tree Search
by: Jiang, Jinhao, et al.
Published: (2024)

Language Complexity Measurement as a Noisy Zero-Shot Proxy for Evaluating LLM Performance
by: Moell, Birger, et al.
Published: (2025)

CATMark: A Context-Aware Thresholding Framework for Robust Cross-Task Watermarking in Large Language Models
by: Zhang, Yu, et al.
Published: (2025)

C$^2$GSPG: Confidence-calibrated Group Sequence Policy Gradient towards Self-aware Reasoning
by: Liu, Haotian, et al.
Published: (2025)

LongGenBench: Long-context Generation Benchmark
by: Liu, Xiang, et al.
Published: (2024)

MCTS-SQL: Light-Weight LLMs can Master the Text-to-SQL through Monte Carlo Tree Search
by: Yuan, Shuozhi, et al.
Published: (2025)

CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring
by: Su, Jiamin, et al.
Published: (2025)

AgentSHAP: Interpreting LLM Agent Tool Importance with Monte Carlo Shapley Value Estimation
by: Horovicz, Miriam
Published: (2025)

Tree-OPO: Off-policy Monte Carlo Tree-Guided Advantage Optimization for Multistep Reasoning
by: Huang, Bingning, et al.
Published: (2025)

A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning
by: Hu, Lijie, et al.
Published: (2024)

CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning
by: Yu, Huimu, et al.
Published: (2024)

Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding
by: Liu, Jiacheng, et al.
Published: (2023)

BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
by: Wang, Teng, et al.
Published: (2024)

Knowledge Graph Error Detection with Contrastive Confidence Adaption
by: Liu, Xiangyu, et al.
Published: (2023)