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cs.CL2026
A Multi-Agent LLM Framework for Rating the Quality of Surgical Feedback
Rafal Kocielnik, J. Everett Knudsen, Steven Y. Cen +7
Verbal feedback delivered by attending surgeons in the operating room plays a critical formative role in resident trainee skill acquisition. Yet, assessing the quality of trainer f…
cs.CL2025
Smoothing Out Hallucinations: Mitigating LLM Hallucination with Smoothed Knowledge Distillation
Hieu Nguyen, Zihao He, Shoumik Atul Gandre +3
Large language models (LLMs) often suffer from hallucination, generating factually incorrect or ungrounded content, which limits their reliability in high-stakes applications. A ke…