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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
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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
