arXiv cs.MA Multiagent Systems
@csma-bot.bsky.social
Unofficial bot by @vele.bsky.social w/ http://github.com/so-okada/bXiv https://arxiv.org/list/cs.MA/new
List https://bsky.app/profile/vele.bsky.social/lists/3lim7ccweqo2j
ModList https://bsky.app/profile/vele.bsky.social/lists/3lim3qnexsw2g
List https://bsky.app/profile/vele.bsky.social/lists/3lim7ccweqo2j
ModList https://bsky.app/profile/vele.bsky.social/lists/3lim3qnexsw2g
Reposted by arXiv cs.MA Multiagent Systems
Marco Laju, Donghyun Son, Saurabh Agarwal, Nitin Kedia, Myungjin Lee, Jayanth Srinivasa, Aditya Akella: Nalar: An agent serving framework https://arxiv.org/abs/2601.05109 https://arxiv.org/pdf/2601.05109 https://arxiv.org/html/2601.05109
January 9, 2026 at 6:30 AM
Marco Laju, Donghyun Son, Saurabh Agarwal, Nitin Kedia, Myungjin Lee, Jayanth Srinivasa, Aditya Akella: Nalar: An agent serving framework https://arxiv.org/abs/2601.05109 https://arxiv.org/pdf/2601.05109 https://arxiv.org/html/2601.05109
Reposted by arXiv cs.MA Multiagent Systems
Qiang Yu, Xinran Cheng, Chuanyi Liu: Defense Against Indirect Prompt Injection via Tool Result Parsing https://arxiv.org/abs/2601.04795 https://arxiv.org/pdf/2601.04795 https://arxiv.org/html/2601.04795
January 9, 2026 at 6:30 AM
Qiang Yu, Xinran Cheng, Chuanyi Liu: Defense Against Indirect Prompt Injection via Tool Result Parsing https://arxiv.org/abs/2601.04795 https://arxiv.org/pdf/2601.04795 https://arxiv.org/html/2601.04795
Reposted by arXiv cs.MA Multiagent Systems
Xiaoxiao Li: When Single-Agent with Skills Replace Multi-Agent Systems and When They Fail https://arxiv.org/abs/2601.04748 https://arxiv.org/pdf/2601.04748 https://arxiv.org/html/2601.04748
January 9, 2026 at 6:30 AM
Xiaoxiao Li: When Single-Agent with Skills Replace Multi-Agent Systems and When They Fail https://arxiv.org/abs/2601.04748 https://arxiv.org/pdf/2601.04748 https://arxiv.org/html/2601.04748
Reposted by arXiv cs.MA Multiagent Systems
Xu, Yan, Wu, Wang, Wang, Li, Huang, Yin, Li: Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models https://arxiv.org/abs/2601.04651 https://arxiv.org/pdf/2601.04651 https://arxiv.org/html/2601.04651
January 9, 2026 at 6:29 AM
Xu, Yan, Wu, Wang, Wang, Li, Huang, Yin, Li: Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models https://arxiv.org/abs/2601.04651 https://arxiv.org/pdf/2601.04651 https://arxiv.org/html/2601.04651
Reposted by arXiv cs.MA Multiagent Systems
Saad Alqithami: Autonomous Agents on Blockchains: Standards, Execution Models, and Trust Boundaries https://arxiv.org/abs/2601.04583 https://arxiv.org/pdf/2601.04583 https://arxiv.org/html/2601.04583
January 9, 2026 at 6:29 AM
Saad Alqithami: Autonomous Agents on Blockchains: Standards, Execution Models, and Trust Boundaries https://arxiv.org/abs/2601.04583 https://arxiv.org/pdf/2601.04583 https://arxiv.org/html/2601.04583
Reposted by arXiv cs.MA Multiagent Systems
Muqing Xu: A Closed-Loop Multi-Agent System Driven by LLMs for Meal-Level Personalized Nutrition Management https://arxiv.org/abs/2601.04491 https://arxiv.org/pdf/2601.04491 https://arxiv.org/html/2601.04491
January 9, 2026 at 6:29 AM
Muqing Xu: A Closed-Loop Multi-Agent System Driven by LLMs for Meal-Level Personalized Nutrition Management https://arxiv.org/abs/2601.04491 https://arxiv.org/pdf/2601.04491 https://arxiv.org/html/2601.04491
Reposted by arXiv cs.MA Multiagent Systems
Arsyi Aziz, Peng Wei: Transformer-based Multi-agent Reinforcement Learning for Separation Assurance in Structured and Unstructured Airspaces https://arxiv.org/abs/2601.04401 https://arxiv.org/pdf/2601.04401 https://arxiv.org/html/2601.04401
January 9, 2026 at 6:34 AM
Arsyi Aziz, Peng Wei: Transformer-based Multi-agent Reinforcement Learning for Separation Assurance in Structured and Unstructured Airspaces https://arxiv.org/abs/2601.04401 https://arxiv.org/pdf/2601.04401 https://arxiv.org/html/2601.04401
Reposted by arXiv cs.MA Multiagent Systems
Carvell, Thomas, Pace, Dorney, De Ath, Everson, Pepper, Keane, Tomlinson, Cannon: Human-in-the-Loop Testing of AI Agents for Air Traffic Control with a Regulated Assessment Framework https://arxiv.org/abs/2601.04288 https://arxiv.org/pdf/2601.04288 https://arxiv.org/html/2601.04288
January 9, 2026 at 6:32 AM
Carvell, Thomas, Pace, Dorney, De Ath, Everson, Pepper, Keane, Tomlinson, Cannon: Human-in-the-Loop Testing of AI Agents for Air Traffic Control with a Regulated Assessment Framework https://arxiv.org/abs/2601.04288 https://arxiv.org/pdf/2601.04288 https://arxiv.org/html/2601.04288
Reposted by arXiv cs.MA Multiagent Systems
Ben Carvell, George De Ath, Eseoghene Benjamin, Richard Everson: Online Action-Stacking Improves Reinforcement Learning Performance for Air Traffic Control https://arxiv.org/abs/2601.04287 https://arxiv.org/pdf/2601.04287 https://arxiv.org/html/2601.04287
January 9, 2026 at 6:32 AM
Ben Carvell, George De Ath, Eseoghene Benjamin, Richard Everson: Online Action-Stacking Improves Reinforcement Learning Performance for Air Traffic Control https://arxiv.org/abs/2601.04287 https://arxiv.org/pdf/2601.04287 https://arxiv.org/html/2601.04287
Reposted by arXiv cs.MA Multiagent Systems
Paul Kent, George De Ath, Martin Layton, Allen Hart, Richard Everson, Ben Carvell: A Future Capabilities Agent for Tactical Air Traffic Control https://arxiv.org/abs/2601.04285 https://arxiv.org/pdf/2601.04285 https://arxiv.org/html/2601.04285
January 9, 2026 at 6:29 AM
Paul Kent, George De Ath, Martin Layton, Allen Hart, Richard Everson, Ben Carvell: A Future Capabilities Agent for Tactical Air Traffic Control https://arxiv.org/abs/2601.04285 https://arxiv.org/pdf/2601.04285 https://arxiv.org/html/2601.04285
Reposted by arXiv cs.MA Multiagent Systems
Ritwick Mishra, Abhijin Adiga, Madhav Marathe, S. S. Ravi, Ravi Tandon, Anil Vullikanti: Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks https://arxiv.org/abs/2601.04267 https://arxiv.org/pdf/2601.04267 https://arxiv.org/html/2601.04267
January 9, 2026 at 6:49 AM
Ritwick Mishra, Abhijin Adiga, Madhav Marathe, S. S. Ravi, Ravi Tandon, Anil Vullikanti: Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks https://arxiv.org/abs/2601.04267 https://arxiv.org/pdf/2601.04267 https://arxiv.org/html/2601.04267
Reposted by arXiv cs.MA Multiagent Systems
Hossein Amiri, Akshay Deverakonda, Yuke Wang, Andreas Z\"ufle: Where do We Poop? City-Wide Simulation of Defecation Behavior for Wastewater-Based Epidemiology https://arxiv.org/abs/2601.04231 https://arxiv.org/pdf/2601.04231 https://arxiv.org/html/2601.04231
January 9, 2026 at 6:49 AM
Hossein Amiri, Akshay Deverakonda, Yuke Wang, Andreas Z\"ufle: Where do We Poop? City-Wide Simulation of Defecation Behavior for Wastewater-Based Epidemiology https://arxiv.org/abs/2601.04231 https://arxiv.org/pdf/2601.04231 https://arxiv.org/html/2601.04231
Reposted by arXiv cs.MA Multiagent Systems
Yuxin Liu, Zeqing Song, Jiong Lou, Chentao Wu, Jie Li: AgentTutor: Empowering Personalized Learning with Multi-Turn Interactive Teaching in Intelligent Education Systems https://arxiv.org/abs/2601.04219 https://arxiv.org/pdf/2601.04219 https://arxiv.org/html/2601.04219
January 9, 2026 at 6:30 AM
Yuxin Liu, Zeqing Song, Jiong Lou, Chentao Wu, Jie Li: AgentTutor: Empowering Personalized Learning with Multi-Turn Interactive Teaching in Intelligent Education Systems https://arxiv.org/abs/2601.04219 https://arxiv.org/pdf/2601.04219 https://arxiv.org/html/2601.04219
Reposted by arXiv cs.MA Multiagent Systems
Yuheng Wang, Runde Yang, Lin Wu, Jie Zhang, Jingru Fan, Ruoyu Fu, Tianle Zhou, Huatao Li, Siheng Chen, Weinan E, Chen Qian: Generative Teaching via Code https://arxiv.org/abs/2601.04204 https://arxiv.org/pdf/2601.04204 https://arxiv.org/html/2601.04204
January 9, 2026 at 6:30 AM
Yuheng Wang, Runde Yang, Lin Wu, Jie Zhang, Jingru Fan, Ruoyu Fu, Tianle Zhou, Huatao Li, Siheng Chen, Weinan E, Chen Qian: Generative Teaching via Code https://arxiv.org/abs/2601.04204 https://arxiv.org/pdf/2601.04204 https://arxiv.org/html/2601.04204
Xiangyu Li, et al.: FinDeepForecast: A Live Multi-Agent System for Benchmarking Deep Research Agents in Financial Forecasting https://arxiv.org/abs/2601.05039 https://arxiv.org/pdf/2601.05039 https://arxiv.org/html/2601.05039
January 9, 2026 at 6:33 AM
Xiangyu Li, et al.: FinDeepForecast: A Live Multi-Agent System for Benchmarking Deep Research Agents in Financial Forecasting https://arxiv.org/abs/2601.05039 https://arxiv.org/pdf/2601.05039 https://arxiv.org/html/2601.05039
Jin Gao, Saichandu Juluri: From Idea to Co-Creation: A Planner-Actor-Critic Framework for Agent Augmented 3D Modeling https://arxiv.org/abs/2601.05016 https://arxiv.org/pdf/2601.05016 https://arxiv.org/html/2601.05016
January 9, 2026 at 6:33 AM
Jin Gao, Saichandu Juluri: From Idea to Co-Creation: A Planner-Actor-Critic Framework for Agent Augmented 3D Modeling https://arxiv.org/abs/2601.05016 https://arxiv.org/pdf/2601.05016 https://arxiv.org/html/2601.05016
Goshi Aoki, Navid Ghaffarzadegan: AI Agents as Policymakers in Simulated Epidemics https://arxiv.org/abs/2601.04245 https://arxiv.org/pdf/2601.04245 https://arxiv.org/html/2601.04245
January 9, 2026 at 6:33 AM
Goshi Aoki, Navid Ghaffarzadegan: AI Agents as Policymakers in Simulated Epidemics https://arxiv.org/abs/2601.04245 https://arxiv.org/pdf/2601.04245 https://arxiv.org/html/2601.04245
[2026-01-09 Fri (UTC), 3 new articles found for csMA Multiagent Systems]
January 9, 2026 at 6:33 AM
[2026-01-09 Fri (UTC), 3 new articles found for csMA Multiagent Systems]
Reposted by arXiv cs.MA Multiagent Systems
Kyle Burns, Michele Sevegnani, Ciaran McCreesh, James Trimble: Introducing The Maximum Common Bigraph Problem https://arxiv.org/abs/2601.03898 https://arxiv.org/pdf/2601.03898 https://arxiv.org/html/2601.03898
January 8, 2026 at 6:33 AM
Kyle Burns, Michele Sevegnani, Ciaran McCreesh, James Trimble: Introducing The Maximum Common Bigraph Problem https://arxiv.org/abs/2601.03898 https://arxiv.org/pdf/2601.03898 https://arxiv.org/html/2601.03898
Reposted by arXiv cs.MA Multiagent Systems
Rishav Sen, Yunuo Zhang, Fangqi Liu, Jose Paolo Talusan, Ava Pettet, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey: Online Decision-Making Under Uncertainty for Vehicle-to-Building Systems https://arxiv.org/abs/2601.03476 https://arxiv.org/pdf/2601.03476 https://arxiv.org/html/2601.03476
January 8, 2026 at 6:36 AM
Rishav Sen, Yunuo Zhang, Fangqi Liu, Jose Paolo Talusan, Ava Pettet, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey: Online Decision-Making Under Uncertainty for Vehicle-to-Building Systems https://arxiv.org/abs/2601.03476 https://arxiv.org/pdf/2601.03476 https://arxiv.org/html/2601.03476
Reposted by arXiv cs.MA Multiagent Systems
Yigal Koifman, Eran Iceland, Erez Koifman, Ariel Barel, Alfred M. Bruckstein: Sensor to Pixels: Decentralized Swarm Gathering via Image-Based Reinforcement Learning https://arxiv.org/abs/2601.03413 https://arxiv.org/pdf/2601.03413 https://arxiv.org/html/2601.03413
January 8, 2026 at 6:33 AM
Yigal Koifman, Eran Iceland, Erez Koifman, Ariel Barel, Alfred M. Bruckstein: Sensor to Pixels: Decentralized Swarm Gathering via Image-Based Reinforcement Learning https://arxiv.org/abs/2601.03413 https://arxiv.org/pdf/2601.03413 https://arxiv.org/html/2601.03413
Alessio Buscemi, Daniele Proverbio, Alessandro Di Stefano, The Anh Han, German Castignani, Pietro Li\`o: When Numbers Start Talking: Implicit Numerical Coordination Among LLM-Based Agents https://arxiv.org/abs/2601.03846 https://arxiv.org/pdf/2601.03846 https://arxiv.org/html/2601.03846
January 8, 2026 at 6:33 AM
Alessio Buscemi, Daniele Proverbio, Alessandro Di Stefano, The Anh Han, German Castignani, Pietro Li\`o: When Numbers Start Talking: Implicit Numerical Coordination Among LLM-Based Agents https://arxiv.org/abs/2601.03846 https://arxiv.org/pdf/2601.03846 https://arxiv.org/html/2601.03846
Zhilong Tang, Shaohua Wu, Xinyan Zhao, Yu Wang, Xingchu Gong: A Chromatographic Process Design and Optimization Platform Powered by Large Language Models: A Case Application on Extract of Gin... https://arxiv.org/abs/2601.03702 https://arxiv.org/pdf/2601.03702 https://arxiv.org/html/2601.03702
January 8, 2026 at 6:33 AM
Zhilong Tang, Shaohua Wu, Xinyan Zhao, Yu Wang, Xingchu Gong: A Chromatographic Process Design and Optimization Platform Powered by Large Language Models: A Case Application on Extract of Gin... https://arxiv.org/abs/2601.03702 https://arxiv.org/pdf/2601.03702 https://arxiv.org/html/2601.03702
Harri Renney, Maxim N Nethercott, Nathan Renney, Peter Hayes: LLM-Enabled Multi-Agent Systems: Empirical Evaluation and Insights into Emerging Design Patterns & Paradigms https://arxiv.org/abs/2601.03328 https://arxiv.org/pdf/2601.03328 https://arxiv.org/html/2601.03328
January 8, 2026 at 6:33 AM
Harri Renney, Maxim N Nethercott, Nathan Renney, Peter Hayes: LLM-Enabled Multi-Agent Systems: Empirical Evaluation and Insights into Emerging Design Patterns & Paradigms https://arxiv.org/abs/2601.03328 https://arxiv.org/pdf/2601.03328 https://arxiv.org/html/2601.03328
Guotao Li, Shaoyun Xu, Yuexing Hao, Yang Wang, Yuhui Sun: PC2P: Multi-Agent Path Finding via Personalized-Enhanced Communication and Crowd Perception https://arxiv.org/abs/2601.03301 https://arxiv.org/pdf/2601.03301 https://arxiv.org/html/2601.03301
January 8, 2026 at 6:33 AM
Guotao Li, Shaoyun Xu, Yuexing Hao, Yang Wang, Yuhui Sun: PC2P: Multi-Agent Path Finding via Personalized-Enhanced Communication and Crowd Perception https://arxiv.org/abs/2601.03301 https://arxiv.org/pdf/2601.03301 https://arxiv.org/html/2601.03301