198 citations · 484 across the 22 of their papers we have counts for
Showing 2024 · cs.CLShow all
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cs.CL2024
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
Herun Wan, Minnan Luo, Zhixiong Su +2
Evidence-enhanced detectors present remarkable abilities in identifying malicious social text. However, the rise of large language models (LLMs) brings potential risks of evidence…
cs.CL2024★ 1 cited
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection
Herun Wan, Shangbin Feng, Zhaoxuan Tan +3
Large language models are limited by challenges in factuality and hallucinations to be directly employed off-the-shelf for judging the veracity of news articles, where factual accu…
cs.CL2024★ 2 cited
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection
Shangbin Feng, Herun Wan, Ningnan Wang +3
Social media bot detection has always been an arms race between advancements in machine learning bot detectors and adversarial bot strategies to evade detection. In this work, we b…