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Zhouxiang Fang

2 accepted papers

2025

Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions

NAACL 2025long

LLMs have demonstrated impressive performance in answering medical questions, such as achieving passing scores on medical licensing examinations. However, medical board exams or general clinical questions do not capture the complexity of realistic clinical cases. Moreover, the lack of reference expl…

2025

ICL CIPHERS: Quantifying ”Learning” in In-Context Learning via Substitution Ciphers

EMNLP 2025

Recent works have suggested that In-Context Learning (ICL) operates in dual modes, i.e. task retrieval (remember learned patterns from pre-training) and task learning (inference-time ”learning” from demonstrations). However, disentangling these the two modes remains a challenging goal. We introduce

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