Rajiv Ratn Shah

Social Agents: Collective Intelligence Improves LLM Predictions

Scaling Controllable Modeling Via Self-Evolving Feature Engineering

OptiRSDE: A Novel Approach with Temporal Smoothing and Optimized Feature Matching for Fast and Robust Depth Estimation

Modular Refinement of Small Language Models for Physics Reasoning via Localized Error Feedback

ExperiGen: Data Driven Hypothesis Generation with Experimental Verification

SPRO: Improving Image Generation via Self-Play

On Optimal Steering to Achieve Exact Fairness

Teaching Human Behavior Improves Content Understanding Abilities Of VLMs

Measuring And Improving Engagement of Text-to-Image Generation Models

JOOCI: A FRAMEWORK FOR LEARNING COMPREHENSIVE SPEECH REPRESENTATIONS