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英文字典中文字典相关资料:


  • Junyang Lin - OpenReview
    Promoting openness in scientific communication and the peer-review process
  • Qwen-VL: A Versatile Vision-Language Model for Understanding. . .
    In this work, we introduce the Qwen-VL series, a set of large-scale vision-language models (LVLMs) designed to perceive and understand both texts and images Starting from the Qwen-LM as a foundation, we endow it with visual capacity by the meticulously designed (i) visual receptor, (ii) input-output interface, (iii) 3-stage training pipeline, and (iv) multilingual multimodal cleaned corpus
  • Gated Attention for Large Language Models: Non-linearity, Sparsity,. . .
    The authors response that they will add experiments in QWen architecture, give the hyperparameters, and promise to open-source one of the models Reviewer bMKL is the only reviewer to initially score the paper in the negative region (Borderline reject) They have some doubts on the experimental section
  • Q -VL: A VERSATILE V M FOR UNDERSTANDING, L ING AND EYOND QWEN-VL: A . . .
    In this paper, we explore a way out and present the newest members of the open-sourced Qwen fam-ilies: Qwen-VL series Qwen-VLs are a series of highly performant and versatile vision-language foundation models based on Qwen-7B (Qwen, 2023) language model We empower the LLM base-ment with visual capacity by introducing a new visual receptor including a language-aligned visual encoder and a
  • J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement. . .
    In particular, J1-Qwen-32B, our multitasked pointwise and pairwise judge also outperforms o1-mini, o3, and a much larger 671B DeepSeek-R1 on some benchmarks, while only training on synthetic data
  • Zihan Qiu - OpenReview
    Career Education History Researcher Qwen Team, Alibaba Group (alibaba-inc com) 2024 – Present Undergrad student IIIS, Tsinghua University, Tsinghua University (tsinghua edu cn)
  • VL-JEPA: J E P ARCHITECTURE FORVISION LANGUAGE
    ABSTRACT We introduce VL-JEPA, a vision-language model built on a Joint Embedding Pre-dictive Architecture (JEPA) Instead of autoregressively generating tokens as in classical VLMs, VL-JEPA predicts continuous embeddings of the target texts By learning in an abstract representation space, the model focuses on task-relevant semantics while abstracting away surface-level linguistic variability
  • You Know What Im Saying: Jailbreak Attack via Implicit Reference
    Our experiments demonstrate AIR's effectiveness across state-of-the-art LLMs, achieving an attack success rate (ASR) exceeding $\textbf {90}$% on most models, including GPT-4o, Claude-3 5-Sonnet, and Qwen-2-72B Notably, we observe an inverse scaling phenomenon, where larger models are more vulnerable to this attack method
  • Forum - OpenReview
    Promoting openness in scientific communication and the peer-review process
  • Actions as Language: Fine-Tuning VLMs into VLAs Without. . .
    Fine-tuning vision-language models (VLMs) on robot teleoperation data to create vision-language-action (VLA) models is a promising paradigm for training generalist policies, but it suffers from a





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