14 citations · 14 across the 4 of their papers we have counts for
4 papers
Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering
Nidhi Hegde, Sujoy Paul, Gagan Madan +1
Recent document question answering models consist of two key components: the vision encoder, which captures layout and visual elements in images, and a Large Language Model (LLM) t…
FineDeb: A Debiasing Framework for Language Models
Akash Saravanan, Dhruv Mullick, Habibur Rahman +1
As language models are increasingly included in human-facing machine learning tools, bias against demographic subgroups has gained attention. We propose FineDeb, a two-phase debias…
Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization
Liam Peet-Pare, Nidhi Hegde, Alona Fyshe
Fairness researchers in machine learning (ML) have coalesced around several fairness criteria which provide formal definitions of what it means for an ML model to be fair. However,…
Optimal control of end-user energy storage
Peter M. van de Ven, Nidhi Hegde, Laurent Massoulie +1
An increasing number of retail energy markets show price fluctuations, providing users with the opportunity to buy energy at lower than average prices. We propose to temporarily st…