19 citations · 19 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
Iterative Visual Thinking and the Self-Correction Mirage in VLM Grounding
Animesh Tripathy, Aswanth Krishnan
Letting a vision-language model (VLM) think longer at test time has driven much recent progress. A natural way to bring this to spatial grounding is visual self-correction: the mod…
Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment
Animesh Tripathy, Aswanth Krishnan
Calibrating a superconducting transmon chip is a sequential decision problem under noise, drift, and a finite budget: an expert must choose experiments, read ambiguous plots, judge…
Beyond the Performance Illusion: Structure-Aware Stratified Partitioning and Curriculum Distributionally Robust Optimization for Spatially Correlated Domains
Prathamesh Patil, Arpit Jain, Aswanth Krishnan
Performance evaluation in AI systems commonly assumes that random dataset splits produce independent and identically distributed (i.i.d.) subsets. We show that this assumption ofte…
GitOfThoughts: Version-Controlled Reasoning and Agent Memory You Can Replay, Diff, and Merge
Pavan C Shekar, Abhishek H S, Aswanth Krishnan
Large language model reasoning leaves no trace once it is done. The steps of a chain of thought disappear when the context window closes, a pruned search branch is just gone, and m…