Cover Image

Self-signals Driven Multi-LLM Debate for Efficient and Accurate Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Xuhang, Song, Zhifan, Ji, Deyi, Gao, Shuo, Zhu, Lanyun
Format:	Preprint
Published:	2025
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

iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference
by: Fan, Wei, et al.
Published: (2025)

LLM-Driven Multi-Turn Task-Oriented Dialogue Synthesis for Realistic Reasoning
by: Zhu, Yu, et al.
Published: (2026)

Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling
by: Wan, Guangya, et al.
Published: (2024)

Learning to Break: Knowledge-Enhanced Reasoning in Multi-Agent Debate System
by: Wang, Haotian, et al.
Published: (2023)

Completing Missing Annotation: Multi-Agent Debate for Accurate and Scalable Relevant Assessment for IR Benchmarks
by: Ban, Minjeong, et al.
Published: (2026)

SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning
by: Li, Zheng, et al.
Published: (2025)

DataSage: Multi-agent Collaboration for Insight Discovery with External Knowledge Retrieval, Multi-role Debating, and Multi-path Reasoning
by: Liu, Xiaochuan, et al.
Published: (2025)

Thinking by Subtraction: Confidence-Driven Contrastive Decoding for LLM Reasoning
by: Tang, Lexiang, et al.
Published: (2026)

Efficient LLM-Jailbreaking via Multimodal-LLM Jailbreak
by: Ji, Haoxuan, et al.
Published: (2024)

Dynamic Role Assignment for Multi-Agent Debate
by: Zhang, Miao, et al.
Published: (2026)

CascadeDebate: Multi-Agent Deliberation for Cost-Aware LLM Cascades
by: Chang, Raeyoung, et al.
Published: (2026)

Self-Verification Dilemma: Experience-Driven Suppression of Overused Checking in LLM Reasoning
by: Long, Quanyu, et al.
Published: (2026)

Skill-Conditioned Gated Self-Distillation for LLM Reasoning
by: Huang, Jiazhen, et al.
Published: (2026)

Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?
by: Wang, Qineng, et al.
Published: (2024)

OckBench: Measuring the Efficiency of LLM Reasoning
by: Du, Zheng, et al.
Published: (2025)

Teach-to-Reason with Scoring: Self-Explainable Rationale-Driven Multi-Trait Essay Scoring
by: Do, Heejin, et al.
Published: (2025)

Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation
by: Jing, Peiyuan, et al.
Published: (2025)

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data
by: Zheng, Xinzhe, et al.
Published: (2025)

TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM
by: Zhou, Haoyang, et al.
Published: (2026)

DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy
by: Sun, Hongda, et al.
Published: (2023)

MindMerger: Efficient Boosting LLM Reasoning in non-English Languages
by: Huang, Zixian, et al.
Published: (2024)

Systematic Biases in LLM Simulations of Debates
by: Taubenfeld, Amir, et al.
Published: (2024)

Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument Generation
by: Hu, Zhe, et al.
Published: (2024)

MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning
by: Yin, Shuo, et al.
Published: (2024)

Efficient Reasoning Through Suppression of Self-Affirmation Reflections in Large Reasoning Models
by: Liu, Kaiyuan, et al.
Published: (2025)

DB-LLM: Accurate Dual-Binarization for Efficient LLMs
by: Chen, Hong, et al.
Published: (2024)

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
by: Zhang, Kongcheng, et al.
Published: (2025)

Debating for Better Reasoning: An Unsupervised Multimodal Approach
by: Adhikari, Ashutosh, et al.
Published: (2025)

HarmTransform: Transforming Explicit Harmful Queries into Stealthy via Multi-Agent Debate
by: Zhu, Shenzhe
Published: (2025)

RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement Reasoning
by: Ji, Deyi, et al.
Published: (2025)

Efficient and Accurate Memorable Conversation Model using DPO based on sLLM
by: Seo, Youngkyung, et al.
Published: (2024)

MSCoRe: A Benchmark for Multi-Stage Collaborative Reasoning in LLM Agents
by: Lei, Yuzhen, et al.
Published: (2025)

Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoning
by: Fu, Yu, et al.
Published: (2024)

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning
by: Zhou, Zhi, et al.
Published: (2025)

Discovering Process-Outcome Credit in Multi-Step LLM Reasoning
by: Wang, Xiangwei, et al.
Published: (2026)

Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning
by: Ning, Yansong, et al.
Published: (2025)

Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)

Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-cache in LLM Inference
by: Luo, Zhifan, et al.
Published: (2025)

GroupDebate: Enhancing the Efficiency of Multi-Agent Debate Using Group Discussion
by: Liu, Tongxuan, et al.
Published: (2024)

FuxiMT: Sparsifying Large Language Models for Chinese-Centric Multilingual Machine Translation
by: Zhu, Shaolin, et al.
Published: (2025)