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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.CV2026

VLZip: Unified Visual and Textual Compression for Interleaved Long-Context Modeling

Yuqi Zhang, Cheng Chen, Yuyu Guo +6

Vision Language Models (VLMs) face significant challenges with ultra-long, interleaved image-text sequences due to the quadratic complexity of self-attention. Current solutions eit…

cs.CV2026

SOLAR: Self-supervised Joint Learning for Symmetric Multimodal Retrieval

Wenjie Yang, Hang Yu, Yuyu Guo +1

The paper introduces SOLAR, a self‑supervised two‑stage framework for symmetric multimodal‑to‑multimodal retrieval that learns intersection masks from large unlabeled image‑text pa…

cs.CV2026

From One-to-One to Many-to-Many: Dynamic Cross-Layer Injection for Deep Vision-Language Fusion

Cheng Chen, Yuyu Guo, Pengpeng Zeng +4

Vision-Language Models (VLMs) create a severe visual feature bottleneck by using a crude, asymmetric connection that links only the output of the vision encoder to the input of the…

cs.CV2026

Multimodal Continuous Reasoning via Asymmetric Mutual Variational Learning

Shijie Li, Yilin Gao, Siyuan Yang +7

Multimodal Large Language Models (MLLMs) are often constrained by a language-space bottleneck, forcing complex visual reasoning into discrete tokens which can lose perceptual nuanc…

cs.CV2026

Janus-LoRA: A Balanced Low-Rank Adaptation for Continual Learning

Cheng Chen, Pengpeng Zeng, Yuyu Guo +3

Low-Rank Adaptation (LoRA) has emerged as a promising paradigm for Continual Learning. It independently updates its low-rank factors ( and ), creating a composite update to t…

cs.AI2026

OpAgent: Operator Agent for Web Navigation

Yuyu Guo, Wenjie Yang, Siyuan Yang +12

To fulfill user instructions, autonomous web agents must contend with the inherent complexity and volatile nature of real-world websites. Conventional paradigms predominantly rely…