collaborators

12 papers

cs.RO2026

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills

Gaytri Jena, Kapil Wanaskar, Vinija Jain +3

Robot learning is splitting into two bets: policies that bake competence into frozen weights (vision-language-action, or VLA, models), and agents that write and refine their own ex…

cs.AI2026

FactorJEPA: Factorizing Monolithic Futures into Layout-Agent-Interaction Channels for Crowded and Chaotic Global South Urban Worlds

Kapil Wanaskar, Gaytri Jena, Aman Chadha +3

World models have attracted significant attention for their ability to capture and predict the structure and dynamics of the physical world. In this emerging landscape, Joint Embed…

cs.AI2026

Playing Devil's Advocate: Off-the-Shelf Persona Vectors Rival Targeted Steering for Sycophancy

Ishaan Kelkar, Nebras Alam, Vikram Kakaria +3

We study the effect of different persona on \textbf{sycophancy}: model's agreement with users even when the user is incorrect. The standard mitigation, Contrastive Activation Addit…

cs.CV2026

Findings of the Counter Turing Test: AI-Generated Image Detection

Rajarshi Roy, Nasrin Imanpour, Ashhar Aziz +16

The rapid advancements in generative AI technologies, such as Stable Diffusion, DALL-E, and Midjourney, have significantly transformed the creation of synthetic visual content. Whi…

cs.CL2026

Findings of the Counter Turing Test: AI-Generated Text Detection

Rajarshi Roy, Gurpreet Singh, Ashhar Aziz +16

The growing capability of large language models to produce fluent, contextually coherent text has created mounting pressure on the systems and institutions responsible for ensuring…

cs.CV2026

A Comprehensive Dataset for Human vs. AI Generated Image Detection

Rajarshi Roy, Ashhar Aziz, Shashwat Bajpai +17

Multimodal generative AI systems like Stable Diffusion, DALL-E, and MidJourney have fundamentally changed how synthetic images are created. These tools drive innovation but also en…