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Shuliang Liu

ACL 2026×2ICLR 2026×2安全多模态推理强化学习与后训练社会与人本
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2 一作 · 4 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

4
一作ACL 2026Poster· Natural Language Processing

Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLM s via Interpretable Bi-Causal Steering

Shuliang Liu · Songbo Yang · Dong Fang · Sihang Jia · Yuqi Tang · Lingfeng Su · Ruoshui Peng · Yibo Yan · Xin Zou · Xuming Hu

摘要

Object hallucination critically undermines the reliability of Multimodal Large Language Models (MLLMs), often stemming from a fundamental failure in cognitive introspection—where models blindly trust linguistic priors over specific visual evidence. Existing mitigations remain limited: contrastive...

多模态可解释性对齐与偏好OpenReview 项目页
作者位次 #6/8ACL 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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