Papers by Shiyi Zheng

2 papers
LLMBox: A Comprehensive Library for Large Language Models (2024.acl-demos)

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Challenge: a library to facilitate the development, use, and evaluation of large language models (LLMs) is presented.
Approach: They propose a unified library to facilitate the development, use and evaluation of large language models (LLMs).
Outcome: The proposed library is based on extensive experiments in a variety of evaluation settings.
Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models (2026.acl-long)

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Challenge: Existing benchmarks fail to evaluate egocentric clinical intent understanding of medical multimodal large language models.
Approach: They propose a benchmark leveraging clinician gaze as a Cognitive Cursor to assess intent understanding across surgery, emergency simulation and diagnostic interpretation.
Outcome: The proposed benchmark addresses challenges of visual homogeneity of anatomical structures, strict temporal-causal dependencies in clinical workflows, and implicit adherence to safety protocols.

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