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cs.CL2025
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.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…
cs.CL2024
Benchmark Transparency: Measuring the Impact of Data on Evaluation
Venelin Kovatchev, Matthew Lease
In this paper we present an exploratory research on quantifying the impact that data distribution has on the performance and evaluation of NLP models. We propose an automated frame…