Key papers

• Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing (2026)
  Tommaso Cerruti et al.
  2.00
• Model Capability Dominates: Inference-Time Optimization Lessons from AIMO 3 (2026)
  Natapong Nitarach
  1.94
• Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision (2026)
  Jiacheng Chen et al.
  1.94
• CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models (2026)
  Wenxuan Song et al.
  1.94
• LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws (2026)
  Xu Ouyang et al.
  1.94
• Joint Training of Multi-Token Prediction in Reinforcement Learning via Optimal Coefficient Calibration (2026)
  Zili Wang 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
• WEAVER, Better, Faster, Longer: An Effective World Model for Robotic Manipulation (2026)
  Arnav Kumar Jain et al.
  1.94
• Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings (2026)
  Shubhang Bhatnagar et al.
  1.94
• Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity (2025)
  Weixin Liang et al.
  1.28
• ACECODER: Acing Coder RL via Automated Test-Case Synthesis (2025)
  Huaye Zeng et al.
  1.28
• The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering (2025)
  Zhuowei Li et al.
  1.28
• Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation (2025)
  Mohammad Mahdi Abootorabi et al.
  1.28
• Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity (2025)
  Yuri Kuratov et al.
  1.28
• Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo (2025)
  Zachary Charles et al.
  1.28
• RepText: Rendering Visual Text via Replicating (2025)
  Haofan Wang et al.
  1.28
• Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning (2025)
  Xiaokun Wang et al.
  1.28
• Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment (2025)
  Xiaojun Jia et al.
  1.28
• X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again (2025)
  Zigang Geng et al.
  1.28
• Predicting the Order of Upcoming Tokens Improves Language Modeling (2025)
  Zayd M. K. Zuhri et al.
  1.28
• ΔL Normalization: Rethink Loss Aggregation in RLVR (2025)
  Zhiyuan He et al.
  1.28
• Can Understanding and Generation Truly Benefit Together -- or Just Coexist? (2025)
  Zhiyuan Yan et al.
  1.28
• Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls (2025)
  Xiaoyan Bai et al.
  1.28
• Learning an Image Editing Model without Image Editing Pairs (2025)
  Nupur Kumari et al.
  1.28
• Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation (2025)
  Enshu Liu et al.
  1.28
• Mitigating Attention Sinks and Massive Activations in Audio-Visual Speech Recognition with LLMS (2025)
  Anand et al.
  1.28
• Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models (2025)
  Julianna Piskorz et al.
  1.28
• HiconAgent: History Context-aware Policy Optimization for GUI Agents (2025)
  Xurui Zhou et al.
  1.28
• On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes (2023)
  Rishabh Agarwal et al.
  —
• Scaling Relationship on Learning Mathematical Reasoning with Large Language Models (2023)
  Zheng Yuan et al.
  —
• COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training (2024)
  Alex Jinpeng Wang et al.
  —
• Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models (2024)
  Jianyuan Guo et al.
  —
• Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory (2024)
  Xueyan Niu et al.
  —
• Improved Distribution Matching Distillation for Fast Image Synthesis (2024)
  Tianwei Yin et al.
  —
• video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models (2024)
  Guangzhi Sun et al.
  —
• Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss (2024)
  Zesen Cheng et al.
  —