Siqi He — accepted AI-conference papers

2026

HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models

Zhaolu Kang, Junhao Gong, Jiaxu Yan, Wanke Xia, Yian Wang, Zhuo Cheng +12

ICLR 2026poster

Multimodal Large Language Models (MLLMs) have demonstrated significant potential to advance a broad range of domains. However, current benchmarks for evaluating MLLMs primarily emphasize general knowledge and vertical step-by-step reasoning typical of STEM disciplines, while overlooking the distinct…

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2025

Lexical Diversity-aware Relevance Assessment for Retrieval-Augmented Generation

Zhange Zhang, Yuqing Ma, Yulong Wang, Shan He, Tianbo Wang, Siqi He +2

ACL 2025long

Retrieval-Augmented Generation (RAG) has proven effective in enhancing the factuality of LLMs’ generation, making them a focal point of research. However, previous RAG approaches overlook the lexical diversity of queries, hindering their ability to achieve a granular relevance assessment between que…

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