163 citations · 212 across the 8 of their papers we have counts for
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cs.CL2025
Large Language Models Require Curated Context for Reliable Political Fact-Checking -- Even with Reasoning and Web Search
Matthew R. DeVerna, Kai-Cheng Yang, Harry Yaojun Yan +1
Large language models (LLMs) have raised hopes for automated end-to-end fact-checking, but prior studies report mixed results. As mainstream chatbots increasingly ship with reasoni…
cs.CL2023★ 163 cited
Factuality Challenges in the Era of Large Language Models
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha +15
The emergence of tools based on Large Language Models (LLMs), such as OpenAI's ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention. These incre…