Finishing the Task Is Not Enough: Evaluating Agent Resilience and Considerate Participation under Accumulating Challenge
Source
Yuanchen Bai, Zijian Ding, Angelique Taylor
Author
Yuanchen Bai, Zijian Ding, Angelique Taylor
Date
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
It argues task completion alone hides whether an AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → recovers gracefully from blocked work or respects human role boundaries as disruptions pile up, and tests this with 120 simulated trajectories across two models.
articleDo Agents Know When They Succeed? Calibrating Agent Confidence from Internal RepresentationsPriyanka Mary Mammen, Emil Joswin, Srujananjali Medicherla
articleA Few Pages of Markdown: Committed AI Configuration and Lower Quality Cost after Coding-Agent AdoptionYegor Denisov-Blanch, Shyam Agarwal, Pavel Azaletskiy, Hao He, Rylan Schaeffer, Brando Miranda, Bogdan Vasilescu, Sanmi Koyejo
articleBenchmarking General Mobile Assistants in Challenging Real-World ScenariosYiqi Zhu, Feiyu Gao, Jiaxing Fan, Jiahui Zeng, Minggang Wu, Chenliang Li, Haiyang Xu, Peng Li, Ming Yan, Yang Liu