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cs.CL2026
Sem-Detect: Semantic Level Detection of AI Generated Peer-Reviews
André V. Duarte, Brian Tufts, Aditya Oke +3
How can we distinguish whether a peer review was written by a human or generated by an AI model? We argue that, in this setting, authorship should not be attributed solely from the…
cs.CL2024
Improving Factual Error Correction for Abstractive Summarization via Data Distillation and Conditional-generation Cloze
Yiyang Li, Lei Li, Dingxin Hu +4
Improving factual consistency in abstractive summarization has been a focus of current research. One promising approach is the post-editing method. However, previous works have yet…