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
• Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-Experts (2026)
  Meng Lou et al.
  1.94
• LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts (2026)
  Yang Liu et al.
  1.94
• ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning (2026)
  Ruizhong Qiu et al.
  1.94
• Qualixar OS: A Universal Operating System for AI Agent Orchestration (2026)
  Varun Pratap Bhardwaj
  1.94
• DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices (2026)
  Chenyang Song et al.
  1.94
• Delta Attention Residuals (2026)
  Cheng Luo et al.
  1.94
• Confidence-Adaptive SwiGLU for Mixture-of-Experts (2026)
  Shaohua Li et al.
  1.94
• Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams (2026)
  Zewen Liu et al.
  1.94
• Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models (2026)
  Cheng-Yu Yang et al.
  1.94
• ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration (2026)
  Ruofeng Yang et al.
  1.89
• Small Vision-Language Models are Smart Compressors for Long Video Understanding (2026)
  Junjie Fei et al.
  1.83
• DynaMoE: Dynamic Token-Level Expert Activation with Layer-Wise Adaptive Capacity for Mixture-of-Experts Neural Networks (2026)
  Gökdeniz Gülmez
  1.78
• Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA (2026)
  Ummar Abbas et al.
  1.78
• Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model Family (2025)
  Pierre-Carl Langlais et al.
  1.28
• Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts (2023)
  Ganesh Jawahar et al.
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