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20232026
most citedCombating Misinformation in the Age of LLMs: Opportunities and Challenges

20 citations · 33 across the 8 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CL2024

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?

Canyu Chen, Jian Yu, Shan Chen +8

Large Language Models (LLMs) hold great promise to revolutionize current clinical systems for their superior capacities on medical text processing tasks and medical licensing exams…

cs.CL2024★ 1 cited

Can Knowledge Editing Really Correct Hallucinations?

Baixiang Huang, Canyu Chen, Xiongxiao Xu +2

Large Language Models (LLMs) suffer from hallucinations, referring to the non-factual information in generated content, despite their superior capacities across tasks. Meanwhile, k…

cs.DC2024

Online GPU Energy Optimization with Switching-Aware Bandits

Xiongxiao Xu, Solomon Abera Bekele, Brice Videau +1

Energy consumption has become a bottleneck for future computing architectures, from wearable devices to leadership-class supercomputers. Existing energy management techniques large…

cs.CY2024★ 1 cited

Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges

Baixiang Huang, Canyu Chen, Kai Shu

Accurate attribution of authorship is crucial for maintaining the integrity of digital content, improving forensic investigations, and mitigating the risks of misinformation and pl…

cs.CL2024

Can Editing LLMs Inject Harm?

Canyu Chen, Baixiang Huang, Zekun Li +12

Large Language Models (LLMs) have emerged as a new information channel. Meanwhile, one critical but under-explored question is: Is it possible to bypass the safety alignment and in…

cs.CL2024★ 4 cited

Can Large Language Models Identify Authorship?

Baixiang Huang, Canyu Chen, Kai Shu

The ability to accurately identify authorship is crucial for verifying content authenticity and mitigating misinformation. Large Language Models (LLMs) have demonstrated an excepti…

cs.AI2024★ 7 cited

Can Large Language Model Agents Simulate Human Trust Behavior?

Chengxing Xie, Canyu Chen, Feiran Jia +11

Large Language Model (LLM) agents have been increasingly adopted as simulation tools to model humans in social science and role-playing applications. However, one fundamental quest…