Key papers

• ModernBERT or DeBERTaV3? Examining Architecture and Data Influence on Transformer Encoder Models Performance (2025)
  Wissam Antoun et al.
  3.81
• CoDiQ: Test-Time Scaling for Controllable Difficult Question Generation (2026)
  Zhongyuan Peng et al.
  1.94
• GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design (2026)
  Isabella A. Stewart et al.
  1.94
• On the Optimal Reasoning Length for RL-Trained Language Models (2026)
  Daisuke Nohara et al.
  1.94
• Temporal Gains, Spatial Costs: Revisiting Video Fine-Tuning in Multimodal Large Language Models (2026)
  Linghao Zhang et al.
  1.94
• How Well Does Generative Recommendation Generalize? (2026)
  Yijie Ding et al.
  1.94
• Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs? (2026)
  Jeonghye Kim et al.
  1.94
• RAGEN-2: Reasoning Collapse in Agentic RL (2026)
  Zihan Wang et al.
  1.94
• Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation (2026)
  Chenxi Zhao et al.
  1.94
• AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents (2026)
  Sharareh Younesian 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
• Is Position Bias in Dense Retrievers Built In-or Learned from Data? (2026)
  Daegon Yu et al.
  1.94
• LiveBrowseComp: Are Search Agents Searching, or Just Verifying What They Already Know? (2026)
  HuiMing Fan et al.
  1.94
• Confidence-Adaptive SwiGLU for Mixture-of-Experts (2026)
  Shaohua Li et al.
  1.94
• Benchmark Everything Everywhere All at Once (2026)
  Shiyun Xiong et al.
  1.94
• Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding (2026)
  Hayate Iso et al.
  1.83
• Generative Visual Code Mobile World Models (2026)
  Woosung Koh et al.
  1.72
• 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
• Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens (2025)
  Dongwon Kim et al.
  1.28
• Control LLM: Controlled Evolution for Intelligence Retention in LLM (2025)
  Haichao Wei et al.
  1.28
• AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence (2025)
  Yuliang Liu et al.
  1.28
• Rank1: Test-Time Compute for Reranking in Information Retrieval (2025)
  Orion Weller et al.
  1.28
• VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation (2025)
  Wenhao Wang et al.
  1.28
• How to Steer LLM Latents for Hallucination Detection? (2025)
  Seongheon Park et al.
  1.28
• Should VLMs be Pre-trained with Image Data? (2025)
  Sedrick Keh et al.
  1.28
• Efficient Model Selection for Time Series Forecasting via LLMs (2025)
  Wang Wei et al.
  1.28
• Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking (2025)
  Chris Samarinas et al.
  1.28
• Phi-4-reasoning Technical Report (2025)
  Marah Abdin et al.
  1.28
• QwenLong-CPRS: Towards infty-LLMs with Dynamic Context Optimization (2025)
  Weizhou Shen et al.
  1.28
• The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models (2025)
  Ganqu Cui et al.
  1.28
• Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization (2025)
  Mingzhe Du et al.
  1.28
• Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem (2025)
  Yubo Wang et al.
  1.28
• TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems (2025)
  Shaina Raza et al.
  1.28
• Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design (2025)
  Lin Sun et al.
  1.28
• AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents (2025)
  Jingxu Xie et al.
  1.28
• Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers (2025)
  Daniel D'souza et al.
  1.28
• OmniGen2: Exploration to Advanced Multimodal Generation (2025)
  Chenyuan Wu et al.
  1.28
• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency (2025)
  Weiyun Wang et al.
  1.28
• Hunyuan-MT Technical Report (2025)
  Mao Zheng et al.
  1.28
• Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners (2025)
  Xin Xu et al.
  1.28
• ExGRPO: Learning to Reason from Experience (2025)
  Runzhe Zhan et al.
  1.28
• No Tokens Wasted: Leveraging Long Context in Biomedical Vision-Language Models (2025)
  Min Woo Sun et al.
  1.28
• Hybrid Architectures for Language Models: Systematic Analysis and Design Insights (2025)
  Sangmin Bae et al.
  1.28
• RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval Augmented Generation Systems (2025)
  Jingru Lin et al.
  1.28
• DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation (2025)
  Yu Zhou et al.
  1.28
• Chem-R: Learning to Reason as a Chemist (2025)
  Weida Wang et al.
  1.28
• ReCode: Unify Plan and Action for Universal Granularity Control (2025)
  Zhaoyang Yu et al.
  1.28
• DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models (2025)
  DeepSeek-AI et al.
  1.28
• InfiniteVL: Synergizing Linear and Sparse Attention for Highly-Efficient, Unlimited-Input Vision-Language Models (2025)
  Hongyuan Tao et al.
  1.28
• FIN-bench-v2: A Unified and Robust Benchmark Suite for Evaluating Finnish Large Language Models (2025)
  Joona Kytöniemi et al.
  1.28
• Alchemist: Unlocking Efficiency in Text-to-Image Model Training via Meta-Gradient Data Selection (2025)
  Kaixin Ding et al.
  1.28
• Automated Code generation for Information Technology Tasks in YAML through Large Language Models (2023)
  Saurabh Pujar et al.
  —
• Counterfactuals for Design: A Model-Agnostic Method For Design Recommendations (2023)
  Lyle Regenwetter et al.
  —
• From Sparse to Soft Mixtures of Experts (2023)
  Joan Puigcerver et al.
  —
• Scaling Relationship on Learning Mathematical Reasoning with Large Language Models (2023)
  Zheng Yuan et al.
  —
• RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models (2023)
  Jie Huang et al.
  —
• Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency (2023)
  Tianhong Li et al.
  —
• VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation (2023)
  Jinguo Zhu et al.
  —
• Time is Encoded in the Weights of Finetuned Language Models (2023)
  Kai Nylund et al.
  —
• On the Scalability of Diffusion-based Text-to-Image Generation (2024)
  Hao Li et al.
  —