Papers
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GUI-GENESIS: Automated Synthesis of Efficient Environments with Verifiable Rewards for GUI Agent Post-Training
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OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention
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BitDance: Scaling Autoregressive Generative Models with Binary Tokens
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Experiential Reinforcement Learning
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Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
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GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
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Hippocampus: An Efficient and Scalable Memory Module for Agentic AI
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Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series
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3D-Aware Implicit Motion Control for View-Adaptive Human Video Generation
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Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment
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Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
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WizardLM: Empowering large pre-trained language models to follow complex instructions
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Florence: A New Foundation Model for Computer Vision
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Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution
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GISA: A Benchmark for General Information-Seeking Assistant
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SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
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GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning
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Think like a Scientist: Physics-guided LLM Agent for Equation DiscoveryUC San Diego
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Intelligent AI Delegation
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AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model Selection
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HAIC: Humanoid Agile Object Interaction Control via Dynamics-Aware World Model
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LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts
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Abstractive Red-Teaming of Language Model Character
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Kelix Technical Report
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DSO: Direct Steering Optimization for Bias Mitigation
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LLM-in-Sandbox Elicits General Agentic Intelligence
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Visual Foresight for Robotic Stow: A Diffusion-Based World Model from Sparse Snapshots
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On-Policy Context Distillation for Language Models
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Iterative Reranking as a Compute-Scaling Method for LLM-based Rankers
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KG-CRAFT: Knowledge graph-based contrastive reasoning with LLMs for enhancing automated fact-checking
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Pattern Discovery with Wide-Lens Analysis and Sharp-Focus Validation
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ChatLLM network: More brains, more intelligenceBeijing Institute of Technology
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CODE-SHARP: Continuous Open-ended Discovery and Evolution of Skills as Hierarchical Reward Programs
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Gradients Must Earn Their Influence: Unifying SFT with Generalized Entropic Objectives
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Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
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SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices
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BagelVLA: Enhancing Long-Horizon Manipulation via Interleaved Vision-Language-Action Generation
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Voxtral Realtime
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Accelerating Mathematical and Scientific Discovery with Gemini Deep Think
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OmniSapiens: A Foundation Model for Social Behavior Processing via HARPOMIT, National University of Singapore
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GameDevBench Evaluating Agentic Capabilities Through Game Development Wayne Chi1 , Yixiong Fang1 , Arnav Yayavaram1 , Siddharth Yayavaram1 , Seth Karten2Carniege Mellon University, Princeton University
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ArtifactLens: Hundreds of Labels Are Enough for Artifact Detection with VLMs
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EchoJEPA: A Latent Predictive Foundation Model for Echocardiography
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Federated Balanced Learning
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MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE
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CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning
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Autoregressive Image Generation with Masked Bit Modeling
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iGRPO: Self-Feedback–Driven LLM Reasonin
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ML-DCN: Masked Low-Rank Deep Crossing Network Towards Scalable Ads Click-through Rate Prediction at Pinterest
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Agentic LLMs as Powerful Deanonymizers: Re-identification of Participants in the Anthropic Interviewer Dataset
