Cover Image

Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiong, Kai, Ding, Xiao, Cao, Yixin, Liu, Ting, Qin, Bing
Format:	Preprint
Published:	2023
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

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
by: Xiong, Kai, et al.
Published: (2024)

Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning
by: Xiong, Kai, et al.
Published: (2024)

Com$^2$: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models
by: Xiong, Kai, et al.
Published: (2025)

Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
by: Zhao, Yang, et al.
Published: (2024)

Collaborative Stance Detection via Small-Large Language Model Consistency Verification
by: Yan, Yu, et al.
Published: (2025)

Large Language Models Are Still Misled by Simple Bias Ensembles
by: Sun, Zhouhao, et al.
Published: (2025)

Causal-Guided Active Learning for Debiasing Large Language Models
by: Du, Li, et al.
Published: (2024)

An Empirical Analysis on Large Language Models in Debate Evaluation
by: Liu, Xinyi, et al.
Published: (2024)

Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning
by: He, Yang, et al.
Published: (2025)

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models
by: Sun, Zhouhao, et al.
Published: (2025)

Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation
by: Sun, Zhouhao, et al.
Published: (2024)

Cross-Examiner: Evaluating Consistency of Large Language Model-Generated Explanations
by: Villa, Danielle, et al.
Published: (2025)

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate
by: Amayuelas, Alfonso, et al.
Published: (2024)

Datasets for Large Language Models: A Comprehensive Survey
by: Liu, Yang, et al.
Published: (2024)

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks
by: Xiong, Kai, et al.
Published: (2022)

Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion
by: Gao, Jinglong, et al.
Published: (2024)

Fact-Checking with Large Language Models via Probabilistic Certainty and Consistency
by: Wang, Haoran, et al.
Published: (2026)

Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning
by: Zhang, Chuang, et al.
Published: (2026)

Assisted Debate Builder with Large Language Models
by: Faugier, Elliot, et al.
Published: (2024)

Large Language Models and the Rationalist Empiricist Debate
by: King, David
Published: (2024)

Evaluating the Performance of Large Language Models via Debates
by: Moniri, Behrad, et al.
Published: (2024)

An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
by: Zhang, Yizhou, et al.
Published: (2024)

GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models
by: Yuan, Zike, et al.
Published: (2024)

Causal Inference for Human-Language Model Collaboration
by: Zhang, Bohan, et al.
Published: (2024)

Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions
by: Li, Yubo, et al.
Published: (2025)

ExpeTrans: LLMs Are Experiential Transfer Learners
by: Gao, Jinglong, et al.
Published: (2025)

Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models
by: Zhang, Che, et al.
Published: (2024)

Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
by: Han, Chen, et al.
Published: (2025)

Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate
by: Chern, Steffi, et al.
Published: (2024)

Structured Chemistry Reasoning with Large Language Models
by: Ouyang, Siru, et al.
Published: (2023)

CLLMs: Consistency Large Language Models
by: Kou, Siqi, et al.
Published: (2024)

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
by: Ma, Yubo, et al.
Published: (2023)

Ensemble Debates with Local Large Language Models for AI Alignment
by: Sarabamoun, Ephraiem
Published: (2025)

GR-Ben: A General Reasoning Benchmark for Evaluating Process Reward Models
by: Sun, Zhouhao, et al.
Published: (2026)

Robust Prompt Optimization for Large Language Models Against Distribution Shifts
by: Li, Moxin, et al.
Published: (2023)

Explicit Multi-head Attention for Inter-head Interaction in Large Language Models
by: Peng, Runyu, et al.
Published: (2026)

Theory of Mind for Multi-Agent Collaboration via Large Language Models
by: Li, Huao, et al.
Published: (2023)

Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Models
by: Amiri-Margavi, Alireza, et al.
Published: (2024)

Self-Evolving GPT: A Lifelong Autonomous Experiential Learner
by: Gao, Jinglong, et al.
Published: (2024)

Electronic Circuit Principles of Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)