← Search

Iris Xia

2 accepted papers

2026

Medical thinking with multiple images

ICLR 2026poster

Large language models and vision-language models score high on many medical QA benchmarks; however, real-world clinical reasoning remains challenging because cases often involve multiple images and require cross-view fusion. We present MedThinkVQA, a benchmark that asks models to think with multiple…

Cited by 6SourcecodeScholar
2025

From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations

EMNLP 2025

Large language models (LLMs) have demonstrated promising performance on medical benchmarks; however, their ability to perform medical calculations, a crucial aspect of clinical decision-making, remains underexplored and poorly evaluated. Existing benchmarks often assess only the final answer with a

Cited by 0SourcePDFScholar