Chi Lu — accepted AI-conference papers

2025

SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Haotian Xia, Zhengbang Yang, Junbo Zou, Rhys Tracy, Yuqing Wang, Chi Lu +7

ICLR 2025poster

Multimodal Large Language Models (MLLMs) are advancing the ability to reason about complex sports scenarios by integrating textual and visual information. To comprehensively evaluate their capabilities, we introduce SPORTU, a benchmark designed to assess MLLMs across multi-level sports reasoning tas…

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2025

Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation

Wei Yang, Rui Zhong, Yiqun Chen, Chi Lu, Peng Jiang

NeurIPS 2025poster

Multimodal recommendation aims to integrate collaborative signals with heterogeneous content such as visual and textual information, but remains challenged by modality-specific noise, semantic inconsistency, and unstable propagation over user–item graphs. These issues are often exacerbated by naive…

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