Key papers

• s1: Simple test-time scaling (2025)
  Niklas Muennighoff et al.
  9.77
• Mamba as a Bridge: Where Vision Foundation Models Meet Vision Language Models for Domain-Generalized Semantic Segmentation (2025)
  Xin Zhang et al.
  6.34
• Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders (2026)
  Shengbang Tong et al.
  1.94
• WebArbiter: A Principle-Guided Reasoning Process Reward Model for Web Agents (2026)
  Yao Zhang et al.
  1.94
• Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs (2026)
  Yu Liang et al.
  1.94
• Unified Personalized Reward Model for Vision Generation (2026)
  Yibin Wang et al.
  1.94
• LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts (2026)
  Yang Liu et al.
  1.94
• CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction (2026)
  Yinghao Ma et al.
  1.94
• Trust Your Critic: Robust Reward Modeling and Reinforcement Learning for Faithful Image Editing and Generation (2026)
  Xiangyu Zhao et al.
  1.94
• LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling (2026)
  Yuxin Chen et al.
  1.94
• Building a Precise Video Language with Human-AI Oversight (2026)
  Zhiqiu Lin et al.
  1.94
• Continuous Latent Diffusion Language Model (2026)
  Hongcan Guo et al.
  1.94
• Where Should Diffusion Enter a Language Model? Geometry-Guided Hidden-State Replacement (2026)
  Injin Kong et al.
  1.94
• Nexus : An Agentic Framework for Time Series Forecasting (2026)
  Sarkar Snigdha Sarathi Das et al.
  1.94
• Orchard: An Open-Source Agentic Modeling Framework (2026)
  Baolin Peng et al.
  1.94
• Code as Agent Harness (2026)
  Xuying Ning et al.
  1.94
• RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains (2026)
  Haoxiang Jiang et al.
  1.94
• Watch, Remember, Reason: Human-View Video Understanding with MLLMs (2026)
  Jiahao Meng et al.
  1.94
• PrivacyAlign: Contextual Privacy Alignment for LLM Agents (2026)
  Manveer Singh Tamber 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
• STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation (2026)
  Ying Shen et al.
  1.89
• Synthetic Computers at Scale for Long-Horizon Productivity Simulation (2026)
  Tao Ge et al.
  1.83
• Beyond Language Modeling: An Exploration of Multimodal Pretraining (2026)
  Shengbang Tong et al.
  1.78
• Diffutron: A Masked Diffusion Language Model for Turkish Language (2026)
  Şuayp Talha Kocabay et al.
  1.78
• Agentic Reasoning for Large Language Models (2026)
  Tianxin Wei et al.
  1.67
• QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search (2025)
  Zongyu Lin et al.
  1.28
• Teaching Metric Distance to Autoregressive Multimodal Foundational Models (2025)
  Jiwan Chung et al.
  1.28
• Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling (2025)
  Haebin Shin et al.
  1.28
• Video-R1: Reinforcing Video Reasoning in MLLMs (2025)
  Kaituo Feng et al.
  1.28
• URECA: Unique Region Caption Anything (2025)
  Sangbeom Lim et al.
  1.28
• It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization (2025)
  Ali Behrouz et al.
  1.28
• D-AR: Diffusion via Autoregressive Models (2025)
  Ziteng Gao et al.
  1.28
• Native-Resolution Image Synthesis (2025)
  Zidong Wang et al.
  1.28
• StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling (2025)
  Meng Wei et al.
  1.28
• PrefPalette: Personalized Preference Modeling with Latent Attributes (2025)
  Shuyue Stella Li et al.
  1.28
• X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again (2025)
  Zigang Geng et al.
  1.28
• CWM: An Open-Weights LLM for Research on Code Generation with World Models (2025)
  FAIR CodeGen team et al.
  1.28
• MemMamba: Rethinking Memory Patterns in State Space Model (2025)
  Youjin Wang 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
• Envision: Benchmarking Unified Understanding & Generation for Causal World Process Insights (2025)
  Juanxi Tian et al.
  1.28
• OpenREAD: Reinforced Open-Ended Reasoing for End-to-End Autonomous Driving with LLM-as-Critic (2025)
  Songyan Zhang et al.
  1.28
• TV2TV: A Unified Framework for Interleaved Language and Video Generation (2025)
  Xiaochuang Han et al.
  1.28
• ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning (2025)
  Shengyuan Ding et al.
  1.28
• Error-Free Linear Attention is a Free Lunch: Exact Solution from Continuous-Time Dynamics (2025)
  Jingdi Lei et al.
  1.28
• Robo-Dopamine: General Process Reward Modeling for High-Precision Robotic Manipulation (2025)
  Huajie Tan et al.
  1.28
• Cross-Lingual Supervision improves Large Language Models Pre-training (2023)
  Andrea Schioppa et al.
  —
• Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts (2023)
  Ganesh Jawahar et al.
  —
• RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models (2023)
  Jie Huang et al.
  —
• RMT: Retentive Networks Meet Vision Transformers (2023)
  Qihang Fan et al.
  —
• Context-Aware Meta-Learning (2023)
  Christopher Fifty et al.
  —
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces (2023)
  Albert Gu et al.
  —
• MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts (2024)
  Maciej Pióro et al.
  —
• ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling (2024)
  Siming Yan et al.
  —
• LocalMamba: Visual State Space Model with Windowed Selective Scan (2024)
  Tao Huang et al.
  —
• Measuring memorization in RLHF for code completion (2024)
  Aneesh Pappu et al.
  —
• K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences (2024)
  Zhikai Li et al.
  —
• FuzzCoder: Byte-level Fuzzing Test via Large Language Model (2024)
  Liqun Yang et al.
  —
• DSBench: How Far Are Data Science Agents to Becoming Data Science Experts? (2024)
  Liqiang Jing et al.
  —
• Differential Transformer (2024)
  Tianzhu Ye et al.
  —