3 papers
cs.AI2026
KARL: Knowledge Agents via Reinforcement Learning
Jonathan D. Chang, Andrew Drozdov, Shubham Toshniwal +23
We present a system for training enterprise search agents via reinforcement learning that achieves state-of-the-art performance across a diverse suite of hard-to-verify agentic sea…
cs.CL2025
MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning
Rajarshi Ghosh, Abhay Gupta, Hudson McBride +2
Large language models (LLMs) are increasingly deployed in clinical decision support, yet subtle demographic cues can influence their reasoning. Prior work has documented disparitie…
cs.CL2025
Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAG
Harshad Khadilkar, Abhay Gupta
Large language models (LLMs) have transformed natural language processing (NLP), enabling diverse applications by integrating large-scale pre-trained knowledge. However, their stat…