Papers by Shiyi Ding

2 papers
ObjChangeVR: Object State Change Reasoning from Continuous Egocentric Views in VR Environments (2026.eacl-long)

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Challenge: Recent advances in multimodal large language models (MLLMs) have shown remarkable capabilities in scene understanding.
Approach: They propose a framework that combines viewpoint-aware and temporal-based retrieval to identify relevant frames, along with cross-view reasoning that reconciles inconsistent evidence from multiple viewpoints.
Outcome: Extensive experiments show that the proposed framework outperforms baseline approaches across multiple MLLMs.
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.

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