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cs.CL2025
Cognitive bias in LLM reasoning compromises interpretation of clinical oncology notes
Matthew W. Kenaston, Umair Ayub, Mihir Parmar +14
Despite high performance on clinical benchmarks, large language models may reach correct conclusions through faulty reasoning, a failure mode with safety implications for oncology…
cs.CL2025
MIRIAD: Augmenting LLMs with millions of medical query-response pairs
Qinyue Zheng, Salman Abdullah, Sam Rawal +7
LLMs are bound to transform healthcare with advanced decision support and flexible chat assistants. However, LLMs are prone to generate inaccurate medical content. To ground LLMs i…