Image de couverture de livre

Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yang, Yongjin, Yi, Euiin, Ko, Jongwoo, Lee, Kimin, Jin, Zhijing, Yun, Se-Young
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models
par: Yang, Yongjin, et autres
Publié: (2023)

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback
par: Yang, Yongjin, et autres
Publié: (2025)

Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models
par: Choi, Younwoo, et autres
Publié: (2025)

Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators
par: Ko, Jongwoo, et autres
Publié: (2025)

DistiLLM: Towards Streamlined Distillation for Large Language Models
par: Ko, Jongwoo, et autres
Publié: (2024)

Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models
par: Yang, Yongjin, et autres
Publié: (2024)

CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures
par: Pandey, Punya Syon, et autres
Publié: (2025)

From Belief Entrenchment to Robust Reasoning in LLM Agents
par: Oh, Jihwan, et autres
Publié: (2025)

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
par: Ko, Jongwoo, et autres
Publié: (2025)

Revisiting the Effectiveness of LLM Pruning for Test-Time Scaling
par: Monjur, Ocean, et autres
Publié: (2026)

Guiding Reasoning in Small Language Models with LLM Assistance
par: Kim, Yujin, et autres
Publié: (2025)

Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL
par: Yang, Yongjin, et autres
Publié: (2024)

Learning to Generate Unit Test via Adversarial Reinforcement Learning
par: Lee, Dongjun, et autres
Publié: (2025)

TMAS: Scaling Test-Time Compute via Multi-Agent Synergy
par: Wu, George, et autres
Publié: (2026)

Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters
par: Yi, Euiin, et autres
Publié: (2024)

Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate
par: Yi, John Seon Keun, et autres
Publié: (2026)

Conditional Synthesis of 3D Molecules with Time Correction Sampler
par: Jung, Hojung, et autres
Publié: (2024)

Self-Training Elicits Concise Reasoning in Large Language Models
par: Munkhbat, Tergel, et autres
Publié: (2025)

Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games
par: Piedrahita, David Guzman, et autres
Publié: (2025)

Parallel Test-Time Scaling with Multi-Sequence Verifiers
par: Kim, Yegon, et autres
Publié: (2026)

Rethinking Reward Models for Multi-Domain Test-Time Scaling
par: Lee, Dong Bok, et autres
Publié: (2025)

Enhancing LLM Agent Safety via Causal Influence Prompting
par: Hahm, Dongyoon, et autres
Publié: (2025)

Distributional Uncertainty for Out-of-Distribution Detection
par: Kim, JinYoung, et autres
Publié: (2025)

iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference
par: Fan, Wei, et autres
Publié: (2025)

Bayesian Principles Improve Prompt Learning In Vision-Language Models
par: Kim, Mingyu, et autres
Publié: (2025)

What is the Alignment Objective of GRPO?
par: Vojnovic, Milan, et autres
Publié: (2025)

Agentic Test-Time Scaling for WebAgents
par: Lee, Nicholas, et autres
Publié: (2026)

Test-Time-Scaling for Zero-Shot Diagnosis with Visual-Language Reasoning
par: Byun, Ji Young, et autres
Publié: (2025)

Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
par: Lifshitz, Shalev, et autres
Publié: (2025)

FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL
par: Koh, Woosung, et autres
Publié: (2024)

CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate
par: Sun, Yiliu, et autres
Publié: (2025)

IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery
par: Sheth, Ivaxi, et autres
Publié: (2026)

Effective Test-Time Scaling of Discrete Diffusion through Iterative Refinement
par: Lee, Sanghyun, et autres
Publié: (2025)

Benchmark Test-Time Scaling of General LLM Agents
par: Li, Xiaochuan, et autres
Publié: (2026)

PersonaCraft: Personalized and Controllable Full-Body Multi-Human Scene Generation Using Occlusion-Aware 3D-Conditioned Diffusion
par: Kim, Gwanghyun, et autres
Publié: (2024)

Unexplainability of Artificial Intelligence Judgments in Kant's Perspective
par: Seo, Jongwoo
Publié: (2024)

Motion-to-Response Content Generation via Multi-Agent AI System with Real-Time Safety Verification
par: Lee, HyeYoung
Publié: (2026)

TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture
par: Chen, Yongchao, et autres
Publié: (2025)

Causality for Natural Language Processing
par: Jin, Zhijing
Publié: (2025)

Budget-Aware Tool-Use Enables Effective Agent Scaling
par: Liu, Tengxiao, et autres
Publié: (2025)