Papers

• NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors (2026)
  Lingfeng Ren et al.
  1.94
• Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models (2026)
  Cheng-Yu Yang et al.
  1.94
• One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Grounding (2026)
  Chen Liu et al.
  1.94
• QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension (2025)
  Yongdong Luo et al.
  1.28
• Prot2Token: A Unified Framework for Protein Modeling via Next-Token Prediction (2025)
  Mahdi Pourmirzaei et al.
  1.28
• X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again (2025)
  Zigang Geng et al.
  1.28
• Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation (2025)
  Peiyu Wang et al.
  1.28
• Can Understanding and Generation Truly Benefit Together -- or Just Coexist? (2025)
  Zhiyuan Yan et al.
  1.28
• ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations (2023)
  Maitreya Patel et al.
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• BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (2024)
  Mateusz Łajszczak et al.
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• LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters (2024)
  Xinyu Zhou et al.
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• OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents (2024)
  Zihao Wang et al.
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• VideoGLaMM: A Large Multimodal Model for Pixel-Level Visual Grounding in Videos (2024)
  Shehan Munasinghe et al.
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• GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training (2024)
  Renqiu Xia et al.
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• Compressed Chain of Thought: Efficient Reasoning Through Dense Representations (2024)
  Jeffrey Cheng et al.
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