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cs.CL2025
Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models
Kevin Zhou, Adam Dejl, Gabriel Freedman +3
Research in uncertainty quantification (UQ) for large language models (LLMs) is increasingly important towards guaranteeing the reliability of this groundbreaking technology. We ex…
cs.CL2025
Pub-Guard-LLM: Detecting Retracted Biomedical Articles with Reliable Explanations
Lihu Chen, Shuojie Fu, Gabriel Freedman +6
A significant and growing number of published scientific articles is found to involve fraudulent practices, posing a serious threat to the credibility and safety of research in fie…