Papers by Shilei Cao

2 papers
ELTLM: Evaluation of Longitudinal Temporal Large Multimodal Models in Clinical Scenarios (2026.findings-acl)

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Challenge: Existing evaluation benchmarks focus on static evaluation of large multimodal models . existing evaluation paradigms neglect a critical aspect of clinical practice: longitudinal analysis .
Approach: They propose a temporal perception and reasoning benchmark to assess models' temporal grounding and consistency.
Outcome: ELTLM features a hierarchical task taxonomy comprising Temporal Perception QA and Temporal Reasoning QA.
Interactive Learning for LLM Reasoning (2026.findings-acl)

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Challenge: Existing multi-agent learning approaches foster collaboration among Large Language Models (LLMs) yet they still rely on re-executing the MAS during inference.
Approach: They propose a co-learning framework that integrates Dynamic Interaction and Perception Calibration to enhance LLMs' independent problem-solving ability.
Outcome: The proposed framework integrates Dynamic Interaction and Perception Calibration to improve LLMs' independent problem-solving ability.

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