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Tian-qi Chen

2 accepted papers

2026

Cancer-Myth: Evaluating Large Language Models on Patient Questions with False Presuppositions

ICLR 2026poster

Cancer patients are increasingly turning to large language models (LLMs) for medical information, making it critical to assess how well these models handle complex, personalized questions. However, current medical benchmarks focus on medical exams or consumer-searched questions and do not evaluate…

Cited by 0SourcecodeScholar
2024

Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression

NeurIPS 2024poster

Transformers excel at *in-context learning* (ICL)---learning from demonstrations without parameter updates---but how they do so remains a mystery. Recent work suggests that Transformers may internally run Gradient Descent (GD), a first-order optimization method, to perform ICL. In this paper, we ins…