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Jiahao Huo

ACL 2026×3ICLR 2026社会与人本推理多模态安全评测与基准
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一作贡献30
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合作网络12
1 一作 · 4 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

4
作者位次 #3/16ACL 2026Findings· Findings of ACL

E rror R adar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Yibo Yan · Shen Wang · Jiahao Huo · Hang Li · Boyan Li · Jiamin Su · Xiong Gao · YiFan Zhang · Tianlong Xu · Zhendong Chu · Aoxiao Zhong · Kun Wang · Hui Xiong · Philip S. Yu · Xuming Hu · Qingsong Wen

摘要

As the field of Multimodal Large Language Models (MLLMs) continues to evolve, their potential to handle mathematical reasoning tasks is promising, as they can handle multimodal questions via cross-modal understanding capabilities compared to text-only LLMs. Current mathematical benchmarks predomi...

推理评测与基准社会与人本OpenReview 项目页
作者位次 #3/10ACL 2026Findings· Findings of ACL

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning

Yibo Yan · Shen Wang · Jiahao Huo · Jingheng Ye · Zhendong Chu · Xuming Hu · Philip S. Yu · Carla P Gomes · Bart Selman · Qingsong Wen

摘要

Scientific reasoning, the process through which humans apply logic, evidence, and critical thinking to explore and interpret scientific phenomena, is essential in advancing knowledge reasoning across diverse fields. However, despite significant progress, current scientific reasoning models still...

推理多模态对齐与偏好OpenReview 项目页
作者位次 #5/8ACL 2026Findings· Findings of ACL

Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework

Yibo Yan · Mingdong Ou · Yi Cao · Xin Zou · Jiahao Huo · Shuliang Liu · James Kwok · Xuming Hu

摘要

Visual Document Retrieval (VDR), which aims to retrieve relevant pages within vast corpora of visually-rich documents, is of significance in current multimodal retrieval applications. The state-of-the-art multi-vector paradigm excels in performance but suffers from prohibitive overhead, a problem...

效率与系统多模态数据与预训练OpenReview 项目页

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