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20242026
most citedWAVE: Learning Unified & Versatile Audio-Visual Embeddings with Multimodal LLM

2 citations · 4 across the 8 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.CV2026

WeMM-Embedding: WeChat Multi-Modal Embedding Technical Report

Junjie Zhou, Ke Mei, Lei Li +3

Universal multimodal embeddings are becoming a core component of modern AI systems, enabling heterogeneous content to be represented in a shared space for applications such as retr…

cs.CV2026

Beyond Chain-of-Thought: Rewrite as a Universal Interface for Generative Multimodal Embeddings

Peixi Wu, Ke Mei, Feipeng Ma +15

Multimodal Large Language Models (MLLMs) have emerged as a promising foundation for universal multimodal embeddings. Recent studies have shown that reasoning-driven generative mult…

cs.CV2026★ 1 cited

D-ORCA: Dialogue-Centric Optimization for Robust Audio-Visual Captioning

Changli Tang, Tianyi Wang, Fengyun Rao +2

Spoken dialogue is a primary source of information in videos; therefore, accurately identifying who spoke what and when is essential for deep video understanding. We introduce D-OR…

cs.AI2026

Anchored Policy Optimization: Mitigating Exploration Collapse Via Support-Constrained Rectification

Tianyi Wang, Long Li, Hongcan Guo +5

Reinforcement Learning with Verifiable Rewards (RLVR) is increasingly viewed as a tree pruning mechanism. However, we identify a systemic pathology termed Recursive Space Contracti…

cs.CL2026

Retrieval-Augmented Self-Taught Reasoning Model with Adaptive Chain-of-Thought for ASR Named Entity Correction

Junjie An, Jingguang Tian, Tianyi Wang +3

End-to-end automatic speech recognition (ASR) systems frequently misrecognize domain-specific phrases like named entities, which can cause catastrophic failures in downstream tasks…