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Wei Emma Zhang

SIGIR 2026×2AAAI 2026CVPR 2026ICML 2026多模态对齐与偏好评测与基准可解释性效率与系统
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1 一作 · 5 篇 · SIGIR 2026 / AAAI 2026 / CVPR 2026 / ICML 2026

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2026 顶会论文

5
作者位次 #2/5ICML 2026Poster· General Machine Learning / Everything Else

Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate

Liangwei Zheng · Wei Emma Zhang · Mingyu Guo · Olaf Maennel · Weitong Chen

可解释性效率与系统OpenReview
作者位次 #2/5SIGIR 2026Poster· Information Retrieval (Short)

PeaCap: Patch-Level Retrieval for Lightweight Retrieval-Augmented Image Captioning

Robin Viltoriano · Wei Emma Zhang · Hu Wang · Mong Yuan Sim · Yanjun Shu

摘要

Retrieval-augmented image captioning aims to improve caption quality by grounding generation in external evidence, but most prior systems retrieve evidence using coarse whole-image similarity, which can miss small or rare objects in cluttered scenes. We propose PeaCap, a patch-based retrieval-aug...

多模态对齐与偏好评测与基准OpenReview
作者位次 #3/3AAAI 2026Poster· Artificial Intelligence

LLaVA-MS-PIT: Multi-Modal Schema-Guided Progressive Instruction Tuning for Multi-Modal Event Extraction

Hui Zhang · Po Hu · Wei Emma Zhang

对齐与偏好多模态OpenReview

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