papers

Publications (7)

cs.AI2026

Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale

Yash Pandya, Sahil Gupta, Sarthak Harne +10

Echoverse introduces a pipeline that compiles specifications into deep, stateful synthetic applications for training computer-use agents, using a co‑evolution loop that repairs env…

#computer-use agents#synthetic environments#stateful applications#co-evolution training
cs.CL2026

Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty

Sravanthi Machcha, Sushrita Yerra, Sahil Gupta +4

Current evaluation of large language models (LLMs) overwhelmingly prioritizes accuracy; however, in real-world and safety-critical applications, the ability to abstain when uncerta…

cs.CV2026

Novel View Synthesis using DDIM Inversion

Sehajdeep Singh, A V Subramanyam, Aditya Gupta +1

Synthesizing novel views from a single input image is a challenging task. It requires extrapolating the 3D structure of a scene while inferring details in occluded regions, and mai…

cs.AI2026

Fara-1.5: Scalable Learning Environments for Computer Use Agents

Ahmed Awadallah, Sahil Gupta, Yash Lara +12

Collecting computer use data from human demonstrations is expensive and slow, motivating the need for scalable generation strategies. This requires two key ingredients: environment…

physics.class-ph2020

Particle sliding on a turntable in the presence of frictional forces

Akshat Agha, Sahil Gupta, Toby Joseph

Motion of a point particle sliding on a turntable is studied. The equations of motion are derived assuming that the table exerts frictional force on the particle, which is of const…

cs.CV2025

An Independent Discriminant Network Towards Identification of Counterfeit Images and Videos

Shayantani Kar, B. Shresth Bhimrajka, Aditya Kumar +4

Rapid spread of false images and videos on online platforms is an emerging problem. Anyone may add, delete, clone or modify people and entities from an image using various editing…