Papers

• Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing (2026)
  Tommaso Cerruti et al.
  2.00
• Enhancing Multi-Image Understanding through Delimiter Token Scaling (2026)
  Minyoung Lee et al.
  1.94
• Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL (2026)
  Chenlu Ye et al.
  1.94
• Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution (2026)
  Liliana Hotsko et al.
  1.94
• The Cold-Start Safety Gap in LLM Agents (2026)
  Chung-En Sun et al.
  1.94
• Monitoring the Internal Monologue: Probe Trajectories Reveal Reasoning Dynamics (2026)
  Maciej Chrabąszcz et al.
  1.89
• Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers (2026)
  Bozhou Li et al.
  1.72
• The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering (2025)
  Zhuowei Li et al.
  1.28
• TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention (2025)
  Jinhao Duan et al.
  1.28
• CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis (2025)
  Anjiang Wei et al.
  1.28
• Stealing Part of a Production Language Model (2024)
  Nicholas Carlini et al.
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• SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models (2024)
  Somnath Banerjee et al.
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• Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing (2024)
  Huanqian Wang et al.
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• Cottention: Linear Transformers With Cosine Attention (2024)
  Gabriel Mongaras et al.
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