Key papers

• DanQing: An Up-to-Date Large-Scale Chinese Vision-Language Pre-training Dataset (2026)
  Hengyu Shen et al.
  1.94
• Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders (2026)
  Boqiang Zhang et al.
  1.94
• Building a Precise Video Language with Human-AI Oversight (2026)
  Zhiqiu Lin et al.
  1.94
• VectorGym: A Multitask Benchmark for SVG Code Generation, Sketching, and Editing (2026)
  Juan Rodriguez et al.
  1.78
• Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks (2025)
  Miran Heo et al.
  1.28
• CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era (2025)
  Kanzhi Cheng et al.
  1.28
• URECA: Unique Region Caption Anything (2025)
  Sangbeom Lim et al.
  1.28
• Fostering Video Reasoning via Next-Event Prediction (2025)
  Haonan Wang et al.
  1.28
• UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning (2025)
  Ye Liu et al.
  1.28
• ARC-Chapter: Structuring Hour-Long Videos into Navigable Chapters and Hierarchical Summaries (2025)
  Junfu Pu et al.
  1.28
• A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding (2023)
  Andrea Burns et al.
  —
• Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks (2023)
  Haiyang Xu et al.
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• SITTA: A Semantic Image-Text Alignment for Image Captioning (2023)
  Fabian Paischer et al.
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• 3D-LLM: Injecting the 3D World into Large Language Models (2023)
  Yining Hong et al.
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• LP-MusicCaps: LLM-Based Pseudo Music Captioning (2023)
  SeungHeon Doh et al.
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• VidChapters-7M: Video Chapters at Scale (2023)
  Antoine Yang et al.
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• Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency (2023)
  Tianhong Li et al.
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• GPT4Point: A Unified Framework for Point-Language Understanding and Generation (2023)
  Zhangyang Qi et al.
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• VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation (2023)
  Jinguo Zhu et al.
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• COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training (2024)
  Alex Jinpeng Wang et al.
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• Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings (2024)
  Sahand Sharifzadeh et al.
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• MyVLM: Personalizing VLMs for User-Specific Queries (2024)
  Yuval Alaluf et al.
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• CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching (2024)
  Dongzhi Jiang et al.
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• VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs (2024)
  Zesen Cheng et al.
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• LLaNA: Large Language and NeRF Assistant (2024)
  Andrea Amaduzzi et al.
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• xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations (2024)
  Can Qin et al.
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• AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark (2024)
  Wenhao Chai et al.
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• Vector-ICL: In-context Learning with Continuous Vector Representations (2024)
  Yufan Zhuang et al.
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• MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models (2024)
  Hang Hua et al.
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• ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning (2024)
  Zhiwei Hao et al.
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• In-Context LoRA for Diffusion Transformers (2024)
  Lianghua Huang et al.
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