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HER: Human-like Reasoning and Reinforcement Learning for LLM Role-playing
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VirtualEnv: A Platform for Embodied AI Research
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Intelligence Explosion
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DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving
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ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training
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CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs
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CineScene: Implicit 3D as Effective Scene Representation for Cinematic Video Generation
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DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
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Can Post-Training Transform LLMs into Causal Reasoners?Fudan University, Shanghai Artificial Intelligence Laboratory
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Learning a Generative Meta-Model of LLM ActivationsUC Berkeley
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Self-Consistency Improves Chain of Thought Reasoning in Language Models
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Large Language Model Reasoning FailuresCarleton College, Stanford University
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Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel GenerationsTikTok / Hong Kong University of Science and Technology, Nanyang Technological University, The Chinese University of Hong Kong
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Learning to Discover at Test Time
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MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning
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Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review
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RISE-Video: Can Video Generators Decode Implicit World Rules?
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Vector Quantization using Gaussian Variational Autoencoder
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See Less, See Right: Bi-directional Perceptual Shaping For Multimodal Reasoning
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Using a GPT-5-driven autonomous lab to optimize the cost and titer of cell-free protein synthesis
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Knowledge-Intensive AgentsNortheastern University, China
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Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers
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Asynchronous Reasoning: Training-Free Interactive Thinking LLMs
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OpenOneRec Technical Report
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Learning to Reason in 13 Parameters
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A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces
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LLMs as Orchestrators: Constraint-Compliant Multi-Agent Optimization for Recommendation Systems
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IRIS: Implicit Reward-Guided Internal Sifting for Mitigating Multimodal Hallucination
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BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations
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ReMiT: RL-Guided Mid-Training for Iterative LLM Evolution
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HY3D-Bench: Generation of 3D Assets
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Infinite-World: Scaling Interactive World Models to 1000-Frame Horizons via Pose-Free Hierarchical Memory
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CVE-Factory: Scaling Expert-Level Agentic Tasks for Code Security Vulnerability
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LIVE: Long-horizon Interactive Video World Modeling
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AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
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Generative Engine Optimization: A VLM and Agent Framework for Pinterest Acquisition Growth
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Accelerating Scientific Research with Gemini: Case Studies and Common Techniques
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Closing the Loop: Universal Repository Representation with RPG-Encoder
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Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity
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AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations
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Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems
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Generative AI for Enzyme Design and Biocatalysis
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Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models
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HunyuanImage 3.0 Technical Report
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MAIN-VLA: Modeling Abstraction of Intention and eNvironment for Vision-Language-Action Models
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OneMall: One Architecture, More Scenarios -- End-to-End Generative Recommender Family at Kuaishou E-Commerce
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SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations
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An Empirical Study on Noisy Data and LLM Pretraining Loss Divergence
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Interpretable Tabular Foundation Models via In-Context Kernel Regression
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RFS: Reinforcement Learning with Residual Flow Steering for Dexterous Manipulation
