Papers

• THINKSAFE: Self-Generated Safety Alignment for Reasoning Models (2026)
  Seanie Lee et al.
  1.94
• On the Optimal Reasoning Length for RL-Trained Language Models (2026)
  Daisuke Nohara et al.
  1.94
• Grouped Query Experts: Mixture-of-Experts on GQA Self-Attention (2026)
  Vishesh Tripathi et al.
  1.94
• Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation (2026)
  Amin Karimi Monsefi et al.
  1.89
• GridProbe: Posterior-Probing for Adaptive Test-Time Compute in Long-Video VLMs (2026)
  Mohamed Eltahir et al.
  1.89
• Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions (2026)
  Mohammed Mehedi Hasan et al.
  1.72
• AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation (2026)
  Siyu Wang et al.
  1.72
• Why Personalizing Deep Learning-Based Code Completion Tools Matters (2025)
  Alessandro Giagnorio et al.
  1.28
• Fixing 7,400 Bugs for 1$: Cheap Crash-Site Program Repair (2025)
  Han Zheng et al.
  1.28
• Diagonal Batching Unlocks Parallelism in Recurrent Memory Transformers for Long Contexts (2025)
  Danil Sivtsov et al.
  1.28
• Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models (2025)
  Qizheng Zhang et al.
  1.28
• One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning (2023)
  Arnav Chavan et al.
  —
• From Sparse to Soft Mixtures of Experts (2023)
  Joan Puigcerver et al.
  —
• RMT: Retentive Networks Meet Vision Transformers (2023)
  Qihang Fan et al.
  —
• Weaver: Foundation Models for Creative Writing (2024)
  Tiannan Wang et al.
  —
• Aligning Diffusion Models with Noise-Conditioned Perception (2024)
  Alexander Gambashidze et al.
  —