Papers by Shrestha Mohanty

2 papers
On the Relationship between Truth and Political Bias in Language Models (2024.emnlp-main)

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Challenge: Language model alignment research often attempts to ensure that models are helpful and harmless, but can obscure how improving one aspect might impact the other.
Approach: They analyze the relationship between truthfulness and political bias in language models.
Outcome: The results show that optimizing models for truthfulness results in a left-leaning political bias.
Bridging Context Gaps: Enhancing Comprehension in Long-Form Social Conversations Through Contextualized Excerpts (2025.coling-main)

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Challenge: a recent rise in polarization has led to a rise in the use of loud and extreme voices in public spaces.
Approach: They propose ways to parse and convey information from small-group recorded conversations . they show that LLMs can provide socially relevant context to improve comprehension .
Outcome: The proposed models improve comprehension, readability, and empathy in small-group conversations . the proposed models struggle with capturing key social aspects, the authors show .

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