Mayank Agarwal

ToolRM: Outcome Reward Models for Tool-Calling Large Language Models

An Investigation of Representation and Allocation Harms in Contrastive Learning

Structured Fine-Tuning Enables Data-Efficient Adaptation of Code Language Models