3 papers
cs.AI2026
EnvOS: Auditing Computer-Use Agents When the World Moves On : Phenomenon-Based Task Construction, Certification, and Evidence-Based Evaluation
Ankush Kadu, Athira Gopal, Niharika Singh +2
Computer-use agents built on large language models (LLMs) work in software that can change while they act: an appointment moves, a policy is revised, a record is updated. Testing a…
cs.CL2026
Same Entity, Different Script: Diagnosing Cross-Script Entity Matching Failures in Language Models
Athira Gopal, Patil Prathamesh Pravin, Ankush Kadu +2
Multilingual language models can give different identity judgments when the same people's names are written in different scripts. We study this effect using 601 audited identity pa…
cs.AI2026
How Far Can Root Cause Analysis Go on Real-World Telemetry Data?
Athira Gopal, Ashwanth Krishnan
Root cause analysis (RCA) of microservice failures requires reasoning over telemetry far larger than a model's context, so a language agent reasons over extracted evidence. We star…