Papers

• What Really Controls Temporal Reasoning in Large Language Models: Tokenisation or Representation of Time? (2026)
  Gagan Bhatia et al.
  1.94
• LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws (2026)
  Xu Ouyang et al.
  1.94
• LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence (2026)
  Xiang An et al.
  1.94
• (1D) Ordered Tokens Enable Efficient Test-Time Search (2026)
  Zhitong Gao et al.
  1.83
• DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference (2026)
  Aditya Kumar Singh et al.
  1.72
• GeoMotionGPT: Geometry-Aligned Motion Understanding with Large Language Models (2026)
  Zhankai Ye et al.
  1.67
• SmolVLM: Redefining small and efficient multimodal models (2025)
  Andrés Marafioti et al.
  1.28
• Imperceptible Jailbreaking against Large Language Models (2025)
  Kuofeng Gao et al.
  1.28
• Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer (2025)
  Ziyuan Huang et al.
  1.28
• PASTA: Pretrained Action-State Transformer Agents (2023)
  Raphael Boige et al.
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• UniAudio: An Audio Foundation Model Toward Universal Audio Generation (2023)
  Dongchao Yang et al.
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• Video-LLaVA: Learning United Visual Representation by Alignment Before Projection (2023)
  Bin Lin 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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• OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents (2024)
  Zihao Wang et al.
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• Emu3: Next-Token Prediction is All You Need (2024)
  Xinlong Wang et al.
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