Breaking the Martingale Curse: Multi-Agent Debate via Asymmetric Cognitive Potential Energy
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Yuhan, Zhang, Juntian, Wu, Yichen, Takac, Martin, Lahlou, Salem, Chen, Xiuying, Lukas, Nils |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CORE: Collaborative Reasoning via Cross Teaching
by: Mishra, Kshitij, et al.
Published: (2026)
by: Mishra, Kshitij, et al.
Published: (2026)
Mitigating Societal Cognitive Overload in the Age of AI: Challenges and Directions
by: Lahlou, Salem
Published: (2025)
by: Lahlou, Salem
Published: (2025)
Temporal Contrastive Decoding: A Training-Free Method for Large Audio-Language Models
by: Li, Yanda, et al.
Published: (2026)
by: Li, Yanda, et al.
Published: (2026)
SD-E$^2$: Semantic Exploration for Reasoning Under Token Budgets
by: Mishra, Kshitij, et al.
Published: (2026)
by: Mishra, Kshitij, et al.
Published: (2026)
The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News
by: Liu, Yuhan, et al.
Published: (2025)
by: Liu, Yuhan, et al.
Published: (2025)
The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents
by: Liu, Yuhan, et al.
Published: (2024)
by: Liu, Yuhan, et al.
Published: (2024)
SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem
by: Heakl, Ahmed, et al.
Published: (2025)
by: Heakl, Ahmed, et al.
Published: (2025)
Zero-Shot Off-Policy Learning
by: Asadulaev, Arip, et al.
Published: (2026)
by: Asadulaev, Arip, et al.
Published: (2026)
Improved Exploration in GFlownets via Enhanced Epistemic Neural Networks
by: Muhammad, Sajan, et al.
Published: (2025)
by: Muhammad, Sajan, et al.
Published: (2025)
LLM-BABYBENCH: Understanding and Evaluating Grounded Planning and Reasoning in LLMs
by: Choukrani, Omar, et al.
Published: (2025)
by: Choukrani, Omar, et al.
Published: (2025)
DynaDebate: Breaking Homogeneity in Multi-Agent Debate with Dynamic Path Generation
by: Li, Zhenghao, et al.
Published: (2026)
by: Li, Zhenghao, et al.
Published: (2026)
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate
by: Wang, Jianze, et al.
Published: (2026)
by: Wang, Jianze, et al.
Published: (2026)
Forest Before Trees: Latent Superposition for Efficient Visual Reasoning
by: Wang, Yubo, et al.
Published: (2026)
by: Wang, Yubo, et al.
Published: (2026)
S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency
by: Zeng, Yuting, et al.
Published: (2025)
by: Zeng, Yuting, et al.
Published: (2025)
Learning to Break: Knowledge-Enhanced Reasoning in Multi-Agent Debate System
by: Wang, Haotian, et al.
Published: (2023)
by: Wang, Haotian, et al.
Published: (2023)
ArabicDialectHub: A Cross-Dialectal Arabic Learning Resource and Platform
by: Lahlou, Salem
Published: (2026)
by: Lahlou, Salem
Published: (2026)
Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches
by: Madmoun, Hachem, et al.
Published: (2025)
by: Madmoun, Hachem, et al.
Published: (2025)
M3MAD-Bench: Are Multi-Agent Debates Really Effective Across Domains and Modalities?
by: Li, Ao, et al.
Published: (2026)
by: Li, Ao, et al.
Published: (2026)
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
by: Guan, Junyi, et al.
Published: (2025)
by: Guan, Junyi, et al.
Published: (2025)
CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate
by: Sun, Yiliu, et al.
Published: (2025)
by: Sun, Yiliu, et al.
Published: (2025)
An Analysis and Mitigation of the Reversal Curse
by: Lv, Ang, et al.
Published: (2023)
by: Lv, Ang, et al.
Published: (2023)
Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent Debate
by: Liu, Yiqing, et al.
Published: (2026)
by: Liu, Yiqing, et al.
Published: (2026)
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning
by: Zhang, Yaolun, et al.
Published: (2026)
by: Zhang, Yaolun, et al.
Published: (2026)
MROVSeg: Breaking the Resolution Curse of Vision-Language Models in Open-Vocabulary Image Segmentation
by: Zhu, Yuanbing, et al.
Published: (2024)
by: Zhu, Yuanbing, et al.
Published: (2024)
Combating Adversarial Attacks with Multi-Agent Debate
by: Chern, Steffi, et al.
Published: (2024)
by: Chern, Steffi, et al.
Published: (2024)
Cross-Modal Memory Compression for Efficient Multi-Agent Debate
by: Wu, Jing, et al.
Published: (2026)
by: Wu, Jing, et al.
Published: (2026)
EvoEmo: Towards Evolved Emotional Policies for Adversarial LLM Agents in Multi-Turn Price Negotiation
by: Long, Yunbo, et al.
Published: (2025)
by: Long, Yunbo, et al.
Published: (2025)
Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence
by: Bennis, Mehdi, et al.
Published: (2025)
by: Bennis, Mehdi, et al.
Published: (2025)
Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
by: Shi, Laixi, et al.
Published: (2024)
by: Shi, Laixi, et al.
Published: (2024)
Exploring Health Misinformation Detection with Multi-Agent Debate
by: Chen, Chih-Han, et al.
Published: (2025)
by: Chen, Chih-Han, et al.
Published: (2025)
GroupDebate: Enhancing the Efficiency of Multi-Agent Debate Using Group Discussion
by: Liu, Tongxuan, et al.
Published: (2024)
by: Liu, Tongxuan, et al.
Published: (2024)
Noise-corrected GRPO: From Noisy Rewards to Unbiased Gradients
by: Mansouri, Omar El, et al.
Published: (2025)
by: Mansouri, Omar El, et al.
Published: (2025)
Breaking Event Rumor Detection via Stance-Separated Multi-Agent Debate
by: Zhang, Mingqing, et al.
Published: (2024)
by: Zhang, Mingqing, et al.
Published: (2024)
Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
by: Hu, Tianyu, et al.
Published: (2025)
by: Hu, Tianyu, et al.
Published: (2025)
RUMAD: Reinforcement-Unifying Multi-Agent Debate
by: Wang, Chao, et al.
Published: (2026)
by: Wang, Chao, et al.
Published: (2026)
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
by: Gerstgrasser, Matthias, et al.
Published: (2024)
by: Gerstgrasser, Matthias, et al.
Published: (2024)
MAC: Multi-Agent Constitution Learning
by: Thareja, Rushil, et al.
Published: (2026)
by: Thareja, Rushil, et al.
Published: (2026)
Breaking the Curse of Repulsion: Optimistic Distributionally Robust Policy Optimization for Off-Policy Generative Recommendation
by: Jiang, Jie, et al.
Published: (2026)
by: Jiang, Jie, et al.
Published: (2026)
Beyond Static Testbeds: An Interaction-Centric Agent Simulation Platform for Dynamic Recommender Systems
by: Jin, Song, et al.
Published: (2025)
by: Jin, Song, et al.
Published: (2025)
Key Decision-Makers in Multi-Agent Debates: Who Holds the Power?
by: Zhang, Qian, et al.
Published: (2025)
by: Zhang, Qian, et al.
Published: (2025)
Similar Items
-
CORE: Collaborative Reasoning via Cross Teaching
by: Mishra, Kshitij, et al.
Published: (2026) -
Mitigating Societal Cognitive Overload in the Age of AI: Challenges and Directions
by: Lahlou, Salem
Published: (2025) -
Temporal Contrastive Decoding: A Training-Free Method for Large Audio-Language Models
by: Li, Yanda, et al.
Published: (2026) -
SD-E$^2$: Semantic Exploration for Reasoning Under Token Budgets
by: Mishra, Kshitij, et al.
Published: (2026) -
The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News
by: Liu, Yuhan, et al.
Published: (2025)