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most citedMulti-FAct: Assessing Factuality of Multilingual LLMs using FActScore

2 citations · 2 across the 9 of their papers we have counts for

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cs.CL2024

Uncovering Factor Level Preferences to Improve Human-Model Alignment

Juhyun Oh, Eunsu Kim, Jiseon Kim +4

Large language models (LLMs) often exhibit tendencies that diverge from human preferences, such as favoring certain writing styles or producing overly verbose outputs. While crucia…

cs.CL2024★ 2 cited

Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScore

Sheikh Shafayat, Eunsu Kim, Juhyun Oh +1

Evaluating the factuality of long-form large language model (LLM)-generated text is an important challenge. Recently there has been a surge of interest in factuality evaluation for…