Key papers

• ModernBERT or DeBERTaV3? Examining Architecture and Data Influence on Transformer Encoder Models Performance (2025)
  Wissam Antoun et al.
  3.81
• DanQing: An Up-to-Date Large-Scale Chinese Vision-Language Pre-training Dataset (2026)
  Hengyu Shen et al.
  1.94
• Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders (2026)
  Shengbang Tong et al.
  1.94
• Image Generators are Generalist Vision Learners (2026)
  Valentin Gabeur et al.
  1.94
• HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining (2026)
  Juncheng Ma et al.
  1.94
• TESSERA v2: Scaling Pixel-wise Earth Foundation Models (2026)
  Zhengpeng Feng et al.
  1.94
• HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better (2026)
  Gengluo Li et al.
  1.94
• LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL (2025)
  Yingzhe Peng et al.
  1.28
• DataDecide: How to Predict Best Pretraining Data with Small Experiments (2025)
  Ian Magnusson et al.
  1.28
• BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset (2025)
  Jiuhai Chen et al.
  1.28
• Improving large language models with concept-aware fine-tuning (2025)
  Michael K. Chen et al.
  1.28
• Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination (2025)
  Mingqi Wu et al.
  1.28
• Multimodal Policy Internalization for Conversational Agents (2025)
  Zhenhailong Wang et al.
  1.28
• On Pretraining for Project-Level Code Completion (2025)
  Maksim Sapronov et al.
  1.28
• ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality (2025)
  Shayne Longpre et al.
  1.28
• UI2Code^N: A Visual Language Model for Test-Time Scalable Interactive UI-to-Code Generation (2025)
  Zhen Yang et al.
  1.28
• Generalist Foundation Models Are Not Clinical Enough for Hospital Operations (2025)
  Lavender Y. Jiang et al.
  1.28
• InfiniteVL: Synergizing Linear and Sparse Attention for Highly-Efficient, Unlimited-Input Vision-Language Models (2025)
  Hongyuan Tao et al.
  1.28
• COLA: How to adapt vision-language models to Compose Objects Localized with Attributes? (2023)
  Arijit Ray et al.
  —
• On Architectural Compression of Text-to-Image Diffusion Models (2023)
  Bo-Kyeong Kim et al.
  —
• VidChapters-7M: Video Chapters at Scale (2023)
  Antoine Yang et al.
  —
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces (2023)
  Albert Gu et al.
  —
• Rejuvenating image-GPT as Strong Visual Representation Learners (2023)
  Sucheng Ren et al.
  —
• VideoPoet: A Large Language Model for Zero-Shot Video Generation (2023)
  Dan Kondratyuk et al.
  —
• AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts (2024)
  Yifan Zhang et al.
  —
• MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code (2024)
  Zimu Lu et al.
  —