3 papers
cs.CL2026
Improving the Distributional Alignment of LLMs using Supervision
Gauri Kambhatla, Sanjana Gautam, Angela Zhang +4
The ability to accurately align LLMs with diverse population groups on subjective questions would have great value. In this work, we show that adding simple supervision can more co…
cs.CL2025
Measuring Lexical Diversity of Synthetic Data Generated through Fine-Grained Persona Prompting
Gauri Kambhatla, Chantal Shaib, Venkata Govindarajan
Fine-grained personas have recently been used for generating 'diverse' synthetic data for pre-training and supervised fine-tuning of Large Language Models (LLMs). In this work, we…
cs.CL2024
Promoting Constructive Deliberation: Reframing for Receptiveness
Gauri Kambhatla, Matthew Lease, Ashwin Rajadesingan
To promote constructive discussion of controversial topics online, we propose automatic reframing of disagreeing responses to signal receptiveness to a preceding comment. Drawing o…