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Haonan Chen

ACL 2026×2多模态数据与预训练推理对齐与偏好
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2 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
一作ACL 2026Poster· Natural Language Processing

M o C a: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings

Haonan Chen · Hong Liu · Yuping Luo · Liang Wang · Nan Yang · Furu Wei · Zhicheng Dou

摘要

Multimodal embedding models, built upon causal Vision Language Models (VLMs), have shown promise in various tasks. However, current approaches face three limitations: causal attention in VLM backbones is suboptimal for embedding tasks; scalability issues due to reliance on high-quality labeled pa...

多模态数据与预训练推理OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

e5-omni: Explicit Cross-modal Alignment for Omni-modal Embeddings

Haonan Chen · Sicheng Gao · Radu Timofte · Tetsuya Sakai · Zhicheng Dou

摘要

Modern information systems often involve different types of items, , a text query, an image, a video clip, or an audio segment. This motivates omni-modal embedding models that map heterogeneous modalities into a shared space for direct comparison. However, most recent omni-modal embeddings still...

多模态对齐与偏好数据与预训练OpenReview 项目页

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