56 citations · 57 across the 13 of their papers we have counts for
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stat.ML2024
Concept-driven Off Policy Evaluation
Ritam Majumdar, Jack Teversham, Sonali Parbhoo
Evaluating off-policy decisions using batch data poses significant challenges due to limited sample sizes leading to high variance. To improve Off-Policy Evaluation (OPE), we must…
cs.CL2024
Insights from the Inverse: Reconstructing LLM Training Goals Through Inverse Reinforcement Learning
Jared Joselowitz, Ritam Majumdar, Arjun Jagota +4
Large language models (LLMs) trained with Reinforcement Learning from Human Feedback (RLHF) have demonstrated remarkable capabilities, but their underlying reward functions and dec…