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
ReTreVal: Reasoning Tree with Validation and Cross-Problem Memory for Large Language Models
Abhishek HS, Pavan C Shekar, Arpit Jain +1
Every existing inference-time reasoning framework discards all failure context at problem boundaries, leaving a model solving problem 500 no wiser than it was on problem 1. We pres…