Cover Image

Benefits and Limitations of Communication in Multi-Agent Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rizvi-Martel, Michael, Bhattamishra, Satwik, Rathi, Neil, Rabusseau, Guillaume, Hahn, Michael
Format:	Preprint
Published:	2025
Subjects:	Multiagent Systems Artificial Intelligence Machine Learning I.2.7; I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DecisionBench: A Benchmark for Emergent Delegation in Long-Horizon Agentic Workflows
by: Gao, Yuxuan, et al.
Published: (2026)

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use
by: Patel, Hitesh Laxmichand, et al.
Published: (2025)

Towards More Human-like AI Communication: A Review of Emergent Communication Research
by: Brandizzi, Nicolo'
Published: (2023)

A Knowledge-Based Language Model: Deducing Grammatical Knowledge in a Multi-Agent Language Acquisition Simulation
by: Shakouri, David Ph., et al.
Published: (2025)

Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems
by: Berman, Shmuel, et al.
Published: (2024)

Pioneer Agent: Continual Improvement of Small Language Models in Production
by: Atreja, Dhruv, et al.
Published: (2026)

Unsupervised Acquisition of Discrete Grammatical Categories
by: Shakouri, David Ph., et al.
Published: (2025)

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers
by: Redkar, Neel
Published: (2024)

Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation
by: Yao, Yiheng, et al.
Published: (2026)

BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models
by: Patarlapalli, Sai Babu, et al.
Published: (2026)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)

When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges
by: Darshan, Parth, et al.
Published: (2026)

Review of Case-Based Reasoning for LLM Agents: Theoretical Foundations, Architectural Components, and Cognitive Integration
by: Hatalis, Kostas, et al.
Published: (2025)

RPRA: Predicting an LLM-Judge for Efficient but Performant Inference
by: Ashley, Dylan R., et al.
Published: (2026)

GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMs
by: Kamelhar, Federico A.
Published: (2026)

CoE: Collaborative Entropy for Uncertainty Quantification in Agentic Multi-LLM Systems
by: Sun, Kangkang, et al.
Published: (2026)

PestMA: LLM-based Multi-Agent System for Informed Pest Management
by: Shi, Hongrui, et al.
Published: (2025)

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines
by: Maryanskyy, Artem
Published: (2026)

Literature Review Of Multi-Agent Debate For Problem-Solving
by: Tillmann, Arne
Published: (2025)

Self-Emotion Blended Dialogue Generation in Social Simulation Agents
by: Zhang, Qiang, et al.
Published: (2024)

PAVE: A Cognitive Architecture for Legitimate Violation in Generative Agent Societies
by: Yehia, Ahmad, et al.
Published: (2026)

HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
by: He, Yongquan, et al.
Published: (2024)

BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data
by: Hsu, Brian, et al.
Published: (2026)

Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
by: Costa, Rimom
Published: (2025)

Agent WARPP: Workflow Adherence via Runtime Parallel Personalization
by: Mazzolenis, Maria Emilia, et al.
Published: (2025)

QTypeMix: Enhancing Multi-Agent Cooperative Strategies through Heterogeneous and Homogeneous Value Decomposition
by: Fu, Songchen, et al.
Published: (2024)

Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models
by: Liao, Jianxing, et al.
Published: (2025)

JURY-RL: Votes Propose, Proofs Dispose for Label-Free RLVR
by: Chen, Xinjie, et al.
Published: (2026)

OSCToM: RL-Guided Adversarial Generation for High-Order Theory of Mind
by: Srishty, Sharmin Sultana, et al.
Published: (2026)

Curveball Steering: The Right Direction To Steer Isn't Always Linear
by: Raval, Shivam, et al.
Published: (2026)

Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)

Merge-Bench: Resolve Merge Conflicts with Large Language Models
by: Schesch, Benedikt, et al.
Published: (2026)

Tool-RoCo: An Agent-as-Tool Self-organization Large Language Model Benchmark in Multi-robot Cooperation
by: Zhang, Ke, et al.
Published: (2025)

Teams of LLM Agents can Exploit Zero-Day Vulnerabilities
by: Zhu, Yuxuan, et al.
Published: (2024)

Whether, Not Which: Mechanistic Interpretability Reveals Dissociable Affect Reception and Emotion Categorization in LLMs
by: Keeman, Michael
Published: (2026)

Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning
by: Castellini, Jacopo, et al.
Published: (2019)

Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
by: Adapala, Sai Teja Reddy
Published: (2025)

When Persuasion Overrides Truth in Multi-Agent LLM Debates: Introducing a Confidence-Weighted Persuasion Override Rate (CW-POR)
by: Agarwal, Mahak, et al.
Published: (2025)

The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete
by: Großmann, Gerrit, et al.
Published: (2025)

Autonomous Deep Agent
by: Yu, Amy, et al.
Published: (2025)