Multi-Agent LLMs

LLM: Large Language Model

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22 papers in the last four weeks, up 144% on the four weeks before. 0.2% of all new papers.

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Graph Feedback Controls Consensus and Clique Formation in Open-Weight Language-Model Populations
Jul 13, 2026Samer Saab, Chaouki AbdallahOpen-Weight Language Models Multi-Agent Systems
Lebanese American University Byblos, Lebanon · Electrical and Computer Engineering Department Lebanese American University Byblos, Lebanon
Can LLMs Perform Technical Comprehension of Computer Architecture Papers?
Jul 13, 2026Nishant Aggarwal, Aishwarya Lekshmi Chithra, Ayushi Dubal +8Document Understanding LLM Evaluation
University of Wisconsin–Madison and NVIDIA Research.
WattCouncil: Context-Aware Household Energy Scenario Generation With Governed LLMs
Jul 12, 2026Mohannad Takrouri, Nicolas M. Cuadrado A., Martin TakáčSynthetic Data Generation Time Series Generation
Machine Learning Department Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi, United Arab Emirates
Towards Autonomous and Auditable Medical Imaging Model Development
Jul 12, 2026Shengyuan Liu, Jia-Xuan Jiang, Boyun Zheng +8Medical Imaging Large Language Model-Guided Optimization
The Chinese University of Hong Kong · Institute of Automation, Chinese Academy of Sciences · Independent Researcher +2
Behavioural Signatures of Risk-Sensitive Decision-Making in Large Language Models
Jul 11, 2026Xuankun Rong, Wenke Huang, Bo Du +2Personality Modeling in Language Models LLM Decision-Making
School of Computer Science, Wuhan University, Wuhan, China · College of Computing and Data Science, Nanyang Technological University, Singapore
ProofCouncil: An LLM Agent for Solving Open Mathematical Problems
Jul 10, 2026Johannes Schmitt, Tim Gehrunger, Jasper Dekoninck +4LLM Agents Multi-Agent LLMs
ETH Zurich · Aarhus University · Independent Researcher +1
KV-PRM: Efficient Process Reward Modeling via KV-Cache Transfer for Multi-Agent Test-Time Scaling
Jul 10, 2026Peng Kuang, Haibo Jin, Xiaoyu Han +5Process Reward Models KV Caching
University of Illinois Urbana-Champaign · Imperial College London · City University of Hong Kong
MASTE: A Multi-Agent Pipeline for Zero-Shot Aspect Sentiment Triplet Extraction
Jul 9, 2026Ao Hong, Lehang Wang, Zhirun Yue +3Zero-Shot Learning Aspect-Based Sentiment Analysis
Tsinghua University · Wuhan University
A hierarchical memory architecture overcomes context limits in long-horizon multi-agent computational modeling
Jul 8, 2026Shivendra G. Tewari, Holly KimkoLLM Agent Memory Long-Horizon LLM Agents
Systems Medicine, Clinical Pharmacology & Safety Sciences, AstraZeneca, Gaithersburg, Maryland
A Large Language Model-Driven Agent-Based Modeling Framework with Multi-Round Communication for Simulating Vaccine Opinion Dynamics
Jul 8, 2026Bo Zhang, Na JiangOpinion Dynamics Cognitive Modeling
Thrust of Urban Governance and Design, The Hong Kong University of Science and Technology (Guangzhou) Guangzhou, Guangdong, CHINA · Jinhe Center for Economic Research, Xi’an Jiaotong University Xi’an, Shaanxi, CHINA
Multi-Large Language Model Orchestrated Severity Assessment of Clinical Records (MOSAIC)
Jul 6, 2026Manuela Del Castillo Suero, Arnault-Quentin Vermillet, Nicole Sonne Heckmann +2Type 1 Diabetes Multi-Agent LLMs
Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark · GSK, Providence, RI, USA · School of Pharmacy, University of Rhode Island, Kingston, RI, USA
Social Networks of LLM Agents
Jul 4, 2026Kaixuan Liu, Guojun Xiong, Weinan Zhang +1Opinion Dynamics Computational Social Science
Department of Computer Science Emory University Atlanta, GA 30322 · School of Computer Science Shanghai Jiao Tong University Shanghai, China
Conversable Complexity: Agentic LLM Collectives as Interpretable Substrates
Jul 1, 2026Elias Najarro, Ane Espeseth, Eleni Nisioti +2Artificial Life LLM Interpretability
IT University of Copenhagen, Denmark · University of Oslo, Norway · Sakana AI, Japan +1
From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives
Jul 1, 2026Aayush Aluru, Chloe Ho, Muhammad Hammouri +5Grounded Text Generation Multi-Agent LLMs
Pocket FM · Princeton University · University of Michigan +2
Attractor States Emerge in Multi-Turn LLM Conversations
Jun 29, 2026Ting-Wen Ko, Jonas GeipingMulti-Agent LLM Systems Multi-Agent LLMs
1Max Planck Institute for Intelligent Systems · 2ELLIS Institute · Tübingen +1
AERIS: Aerial-Edge Role-Driven Intelligence at Runtime via Orchestrated Language-Model Swarm
Jun 29, 2026Jiabin Lou, Haopeng Wang, Xinyu Liu +3Aerial Robotics Large Language Model-Based Robot Planning
School of Computer Science and Engineering, Beihang University, Beijing 100191, China · Hangzhou International Innovation Institute, Beihang University, Hangzhou 311115, China · School of Artificial Intelligence, Beihang University, Beijing 100191, China
LAMP: Lean-based Agentic framework with MCP and Proof Repair
Jun 27, 2026Santhana Srinivasan R, Maithilee PatawarKnowledge Augmentation for Language Models Lean Theorem Proving
Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram
Semantic Early-Stopping for Iterative LLM Agent Loops
Jun 25, 2026Sahil ShrivastavaEarly Stopping LLM Agent Evaluation
Semantic Halting Problem (SHP) Project
Delayed Verification Destabilizes Multi-Agent LLM Belief: Instability Thresholds and Optimal Corrector Placement
Jun 25, 2026Igor ItkinAI Agent Reliability Multi-Agent Coordination
Independent Researcher, Tel Aviv, Israel
EGG: An Expert-Guided Agent Framework for Kernel Generation
Jun 25, 2026Yaochen Han, Ke Fan, Hongxu Jiang +5GPU Kernel Optimization Large Language Model-Guided Optimization
Beihang University, Beijing, China · Shanghai Jiao Tong University, Shanghai, China · Tsinghua University, Beijing, China +1
Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction
Jun 24, 2026Yuchen Wang, Javal Vyas, Tong Liu +1Language Model-Based Control Small Language Models
School of Computer Science University of Sheffield Sheffield, UK · Department of Chemical Engineering Imperial College London London, UK
MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction
Jun 24, 2026Congbo Ma, Hu Wang, Yichun Zhang +1LLM Guardrails LLM Safety
New York University Abu Dhabi · Khalifa University · New York University
HEART: Coordination of Heterogeneous Expert Agents for Physically Grounded Robotic Task Planning
Jun 24, 2026Junho Lee, Seabin Lee, Wonjong Lee +3Large Language Model-Based Robot Planning Robot Task Planning
Dept. of Electronic Engineering, Sogang University, Seoul, Korea
Agentic Knowledge Tracing: A Multi-Agent LLM Architecture for Stealth Assessment of Financial Literacy in Serious Games
Jun 24, 2026Gabriel Santos, Rita Julia, Marcelo NascimentoMulti-Agent LLMs Finance
Federal University of Uberlˆandia Computer Science Faculty S˜ao Paulo, Brazil
When Is Emergent Consensus Real? A Measured Coupling Gain and a Validity Diagnostic for LLM Agent Societies
Jun 20, 2026Dongxu YangOpinion Dynamics LLM Agent Evaluation
DeepLethe
Dementia-Agents: A Multi-Modal Multi-Agent System for Dementia Staging and Phenotyping
Jun 19, 2026Yaling Shen, Maja Christensen, Yiwen Jiang +4Medical Diagnosis Multimodal Agents
Monash University · Eastern Health · Lived Experience Advisor
A Multi-Agent Audit Framework for High-Stakes Reasoning: Evaluation and Interpretability in Clinical Mental Health Screening
Jun 19, 2026Jingchen Ye, Yanpei Yu, Luyao ZhangLLM Auditing LLM Interpretability
Duke Kunshan University Suzhou, China · Social Science Division and Digital Innovation Research Center, Duke Kunshan University, No.8 Duke Ave., Kunshan, Jiangsu 215316, China.
MedRLM: Recursive Multimodal Health Intelligence for Long-Context Clinical Reasoning, Sensor-Guided Screening, Evidence-Grounded Decision Support, and Community-to-Tertiary Referral Optimization
Jun 18, 2026Aueaphum AueawatthanaphisutClinical Decision Support Multimodal Reasoning
School of Information, Computer, and Communication Technology Sirindhorn International Institute of Technology, Thammasat University Pathum Thani, Thailand
Can LLMs Be CEOs? Benchmarking Strategic Resource Reallocation with Multi-Role Agent Simulation
Jun 16, 2026Yuyang Dai, Xueqing Peng, Lingfei Qian +1LLM Agent Evaluation AI Agent Benchmarks
1MBZUAI · 2Yale University
AdaSTORM: Scaling LLM Reasoning on Dynamic Graphs via Adaptive Spatio-Temporal Multi-Agent Collaboration
Jun 15, 2026Bing Hao, Ruijie Wang, Haodong Qian +5LLM Reasoning with Graphs Multi-Agent Collaboration
1Tianjin University, China · 2Beihang University, China

Jul 13, 2026, cs.AIJ/K move · Enter open · S save

Graph Feedback Controls Consensus and Clique Formation in Open-Weight Language-Model Populations

Samer Saab, Chaouki Abdallah

Lebanese American University Byblos, Lebanon · Electrical and Computer Engineering Department Lebanese American University Byblos, Lebanon

Open-Weight Language Models Multi-Agent Systems Multi-Agent Consensus Multi-Agent LLMs

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Multi-agent language-model systems increasingly route local interactions, yet the runtime interaction graph is often treated as an implementation detail. We study convention formation in open-weight LM populations spanning 1.1B-32B parameters with a naming-game protocol. Restricted first-token scores over tokenizer-safe labels let us measure prompt-conditioned score-state distributions, construct state-similarity graphs, and separate sampled-label agreement from latent state-space consensus. Across controlled interventions, in the main open-weight repair grids, retained partner-label evidence is necessary but not sufficient: homophilous threshold-similarity routing deletes cross-basin exposure and amplifies fragmentation, while bridge-seeking routing often repairs fragmentation when memory is available. In a three-seed mixed four-model grid, threshold-similarity produces no final behavioral or state consensus in 189 setting-seed runs, whereas state-component and label-disagreement bridges recover final behavioral consensus in 14/18 retained-memory runs. Across homogeneous model populations, retained history generally shifts fragmented dynamics toward consensus; the clearest case is Qwen2.5-32B, which reaches stable behavioral and final state consensus in all 18 retained-history well-mixed settings, while threshold-similarity reaches neither form of consensus in 189 settings. Robustness over state thresholds, population size, and vocabulary size preserves the qualitative ordering, and early-window graph-energy features provide useful within-grid diagnostics.

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