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Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science)

SIGIR 2026×2AAAI 2026ACL 2026ICLR 2026推理多模态检索与知识对齐与偏好可解释性
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0 一作 · 5 篇 · SIGIR 2026 / AAAI 2026 / ACL 2026 / ICLR 2026

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2026 顶会论文

5
作者位次 #3/3ACL 2026Findings· Findings of ACL

C he MM - R 1: Enhancing Chemical Structure Recognition and Elucidation with Reasoning Multimodal Large Language Models

Liting Huang · Zhihao Zhang · Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science)

摘要

While Multimodal Large Language Models (MLLMs) demonstrate strong reasoning capabilities, they lack domain-specific expertise to effectively perform chemical tasks. For example, existing MLLMs struggle with both the lower-level task of molecular structure recognition and the higher-level task of...

多模态评测与基准推理OpenReview 项目页
作者位次 #2/9SIGIR 2026Oral· Information Retrieval (Full)

RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation

Cong Wang (Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences) · Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science) · Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science) · Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science) · Yishuo Li (Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences) · Wenpeng Lu (Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences) · Huilin Gu · Wenpeng Lu (Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences) · Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science)

摘要

Medication recommendations seek to deliver personalized drug combinations based on patients' clinical information, where ensuring transparent decision-making and personalized safety are of paramount importance. However, existing approaches predominantly operate as ''black boxes'', offering limite...

强化学习与后训练检索与知识推理OpenReview
作者位次 #5/6SIGIR 2026Poster· Information Retrieval (Short)

Structural and Disentangled Adaptation of Large Vision Language Models for Multimodal Recommendation

Zhongtao Rao · Peilin Zhou · Dading Chong · Zhiwei Chen · Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science) · Nan Tang

摘要

Multimodal recommendation enhances accuracy by leveraging visual and textual signals, and its success largely depends on learning high-quality cross-modal representations. Recent advances in Large Vision-Language Models (LVLMs) offer unified multimodal representation learning, making them a promi...

多模态数据与预训练对齐与偏好OpenReview
作者位次 #4/4AAAI 2026Poster· Artificial Intelligence

SAR: A Structure-Aligned Reasoning Framework for Temporal Knowledge Graph Question Answering

Qianyi Hu · Jiaxue Liu · Xinhui Tu · Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science)

检索与知识推理对齐与偏好OpenReview

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