Papers

• LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories (2026)
  Zhanhao Liang et al.
  1.83
• (1D) Ordered Tokens Enable Efficient Test-Time Search (2026)
  Zhitong Gao et al.
  1.83
• 2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining (2025)
  Wenqi Zhang et al.
  1.28
• Should VLMs be Pre-trained with Image Data? (2025)
  Sedrick Keh et al.
  1.28
• Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor (2025)
  Vatsal Agarwal et al.
  1.28
• MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval (2025)
  Siyue Zhang et al.
  1.28
• VQ-VA World: Towards High-Quality Visual Question-Visual Answering (2025)
  Chenhui Gou et al.
  1.28
• Tiny LVLM-eHub: Early Multimodal Experiments with Bard (2023)
  Wenqi Shao 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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• VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation (2023)
  Jinguo Zhu et al.
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• InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks (2023)
  Zhe Chen et al.
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• Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support (2024)
  Xiaojun Wu et al.
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• OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text (2024)
  Qingyun Li et al.
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• MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities (2024)
  Weihao Yu et al.
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• Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining (2024)
  Dongyang Liu et al.
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• GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation (2024)
  Pengfei Zhou et al.
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• Discriminative Fine-tuning of LVLMs (2024)
  Yassine Ouali et al.
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