Papers

• Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing (2026)
  Tommaso Cerruti et al.
  2.00
• Scaling Small Agents Through Strategy Auctions (2026)
  Lisa Alazraki et al.
  1.94
• Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents (2026)
  Seyed Moein Abtahi et al.
  1.94
• Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators (2026)
  Zachary Novack et al.
  1.94
• ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer (2025)
  Lin Yueyu et al.
  1.28
• Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding (2025)
  Tao Zhang et al.
  1.28
• UFT: Unifying Supervised and Reinforcement Fine-Tuning (2025)
  Mingyang Liu et al.
  1.28
• SageAttention2++: A More Efficient Implementation of SageAttention2 (2025)
  Jintao Zhang et al.
  1.28
• Diagonal Batching Unlocks Parallelism in Recurrent Memory Transformers for Long Contexts (2025)
  Danil Sivtsov et al.
  1.28
• MovieCORE: COgnitive REasoning in Movies (2025)
  Gueter Josmy Faure et al.
  1.28
• MemMamba: Rethinking Memory Patterns in State Space Model (2025)
  Youjin Wang et al.
  1.28
• Aligned but Stereotypical? The Hidden Influence of System Prompts on Social Bias in LVLM-Based Text-to-Image Models (2025)
  NaHyeon Park et al.
  1.28
• On the Reliability of Watermarks for Large Language Models (2023)
  John Kirchenbauer et al.
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• Weaver: Foundation Models for Creative Writing (2024)
  Tiannan Wang et al.
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• LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report (2024)
  Justin Zhao et al.
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• Cottention: Linear Transformers With Cosine Attention (2024)
  Gabriel Mongaras et al.
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• Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models (2024)
  Alex Havrilla et al.
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