Papers by Kris-Fillip Kahl

1 papers
LLMs Cannot (Yet) Match the Specificity and Simplicity of Online Communities in Long Form Question Answering (2024.findings-emnlp)

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Challenge: Recent years have positioned Large Language Models (LLMs) as powerful question answering (QA) tools, shifting users away from interacting in communities towards discourse with AI-driven conversational interfaces.
Approach: They propose to use a QA preference dataset to fine-tune and align Large Language Models (LLMs) from more than 7.4 million submissions and 82 million comments from 2008 to 2022 in Reddit’s 15 largest finance communities.
Outcome: The proposed framework improves on the social quality of the data, and the proposed framework is more accurate and more specific.

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