25 citations · 39 across the 6 of their papers we have counts for
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cs.CL2025
"I know myself better, but not really greatly": How Well Can LLMs Detect and Explain LLM-Generated Texts?
Jiazhou Ji, Jie Guo, Weidong Qiu +6
Distinguishing between human- and LLM-generated texts is crucial given the risks associated with misuse of LLMs. This paper investigates detection and explanation capabilities of c…
cs.CL2024★ 1 cited
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
Jiazhou Ji, Ruizhe Li, Shujun Li +6
As LLMs rapidly advance, increasing concerns arise regarding risks about actual authorship of texts we see online and in real world. The task of distinguishing LLM-authored texts i…
cs.CL2023★ 1 cited
Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation
Xin Yuan, Jie Guo, Weidong Qiu +2
Mis- and disinformation online have become a major societal problem as major sources of online harms of different kinds. One common form of mis- and disinformation is out-of-contex…