Consistent but Biased: Chair Personas Trade Noise for Bias in Multi-Agent Clinical Decisions
Yitong Bai, Chengyi Zhang, Ziyang Wang
https://t.co/A7lgxOc49o [ππ.πΌπ°]
The Butterfly Effect in LLM Social Simulations: From Architecture Sensitivity to Robustness Audits
Jinyi Ye, Lei Cao, Ding Chen, Emilio Ferrara
https://t.co/wMihvTS44D [ππ.πΌπ°]
Local Work, Global Progress: A Convergence Theory of AI Agent Collaboration
Ivan Ilin, Peter RichtΓ‘rik
https://t.co/6tIGJfE4vF [ππ.πΌπ° ππ.π°πΈ ππ.π»πΆ ππππ.πΎπ²]
π¬Code: https://t.co/sM0wE1DgRq
Complete Street Design informed by Multi-Agent Simulation
Sharika J. Hegde, Amirmohammad Khakpour, Pedram Beigi, Yu, Nie, Hani S. Mahmassani
https://t.co/YZJ7eNQlkA [ππ.πΌπ°]
Behavioral Probes for Information Flow in LLM Swarms
Junhui Chen, Yu Zhang, Lantian Li, Dong Wang
https://t.co/Xzv9wXk09z [ππ.πΌπ° ππ.π°πΈ]
π¬Accepted at NeurIPS 2026
How Far Can an Agent Push? Trust-Safety Margins in Live Language-Based Economic Games
Dima Galat, Marian-Andrei Rizoiu
https://t.co/UEofsy2DEr [ππ.πΌπ° ππ.πΆπ]
ROAR: Benchmarking LMM Agents under Real-Time Constraints in Multiplayer Action-Shooter Games
Dawei Wang, Di Zhao, Jianran Yu, Chengming Zhou, Marci Chi Ma, Xiaoyang Liu, Beining Zhang, Shuliang Chu, Yun Sing Koh, Gary Ushaw, β¦
https://t.co/ql4TarhMgH [ππ.πΌπ°]
π¬NeurIPS 2026
Model Capacity Frontier: A Development Framework for LLM-Supported Social Simulation
Patrick Zhao, Yuxuan Li, Hirokazu Shirado
https://t.co/rfVroclbyV [ππ.πΌπ° ππ.π°πΈ ππ.π²π]
The Weight of Teamwork: Does Communication Structure Help LLM Scientists Search for Scientific Laws?
Jianing Shi, β¦
https://t.co/3UyLnqctAq [ππ.πΌπ° ππ.π°πΈ ππ.π»πΆ]
π¬Accepted at the NeurIPS 2026 Workshop on Foundations of Agentic Systems Theory (FAST), non-archival
LLM Evolution in a Simple Simulated Market
Charlie Pilgrim, Christopher Krupenye, Dora Biro, Richard P. Mann
https://t.co/zDNhnJnhEi [ππ.πΌπ° ππ.π°πΈ ππ.π²π» π-πππ.πΏπ΄]