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Can LLMs Produce Faithful Explanations For Fact-checking? Towards
  Faithful Explainable Fact-Checking via Multi-Agent Debate

Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate

12 February 2024
Kyungha Kim
Sangyun Lee
Kung-Hsiang Huang
Hou Pong Chan
Manling Li
Heng Ji
    LRM
ArXivPDFHTML

Papers citing "Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate"

3 / 3 papers shown
Title
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
Jianhao Chen
Zishuo Xun
Bocheng Zhou
Han Qi
Qiaosheng Zhang
...
Wei Hu
Yuzhong Qu
W. Ouyang
Wanli Ouyang
Shuyue Hu
74
0
0
01 Apr 2025
STORYSUMM: Evaluating Faithfulness in Story Summarization
STORYSUMM: Evaluating Faithfulness in Story Summarization
Melanie Subbiah
Faisal Ladhak
Akankshya Mishra
Griffin Adams
Lydia B. Chilton
Kathleen McKeown
34
4
0
09 Jul 2024
Explainable Automated Fact-Checking for Public Health Claims
Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya
Francesca Toni
197
247
0
19 Oct 2020
1