FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models

Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-long.17
Citations
3
Primary Topic
Topic Modeling
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article
Field-Weighted Citation Impact
7.44
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article

FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models

Jing Ma, Yuxuan Gu, Yang Deng, Hongzhan Lin et al.
3 citations
Topic Modeling
7.44
article

FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models

Jing Ma, Yuxuan Gu, Yang Deng, Hongzhan Lin, Tat‐Seng Chua, See-Kiong Ng, Wenxuan Zhang
article en
3 citations

Abstract

Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Openalex Percentile: Top 3%
Topic Modeling
7.44
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