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From the 1 of 13 linked papers with an AI index.

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13 papers

cs.CV2026

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

Peixi Wu, Ke Mei, Feipeng Ma +15

The paper introduces RIME, a rewrite-driven framework that improves multimodal embeddings by jointly optimizing generation and retrieval-friendly rewriting, aligning generative and…

cs.CV2026

Segmentation before Answering: Pixel Grounding for MLLM Visual Reasoning

Yake Wei, Yuan Wang, Fengyun Rao +2

Recent advancements in Multimodal Large Language Models (MLLMs) have evolved from static perception to interleaved visual-language reasoning, often referred to as ``thinking with i…

cs.CV2026

Semantic-Enriched Latent Visual Reasoning

Tianrun Xu, Yue Sun, Qixun Wang +8

Multimodal latent-space reasoning aims to replace explicit thinking with images by performing visual reasoning directly in a compact latent space. However, existing approaches larg…

cs.CV2026

Stage-adaptive Token Selection for Efficient Omni-modal LLMs

Zijie Xin, Jie Yang, Ruixiang Zhao +4

Omni-modal large language models (om-LLMs) achieve unified audio-visual understanding by encoding video and audio into temporally aligned token sequences interleaved at the window…

cs.CV2026

OmniPro: A Comprehensive Benchmark for Omni-Proactive Streaming Video Understanding

Ruixiang Zhao, Jie Yang, Zijie Xin +4

Omni-proactive streaming video understanding, i.e., autonomously deciding when to speak and what to say from continuous audio-visual streams, is an emerging capability of omni-moda…

cs.CV2026

WAVE: Learning Unified & Versatile Audio-Visual Embeddings with Multimodal LLM

Changli Tang, Qinfan Xiao, Ke Mei +3

While embeddings from multimodal large language models (LLMs) excel as general-purpose representations, their application to dynamic modalities like audio and video remains underex…