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Agentic Code Reasoning
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CuTe Layout Representation and Algebra
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RubricBench: Aligning Model-Generated Rubrics with Human Standards
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WorldStereo: Bridging Camera-Guided Video Generation and Scene Reconstruction via 3D Geometric Memorie
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How Well Does Agent Development Reflect Real-World Work?Carnegie Mellon University, Stanford University
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Learn Hard Problems During RL with Reference Guided Fine-tuning
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SSKG Hub: An Expert-Guided Platform for LLM-Empowered Sustainability Standards Knowledge Graphs
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Process-of-Thought Reasoning for Videos
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Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding ModelsHelmholtz Munich, Technical University of Munich, University of Tübingen
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EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models
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Mode Seeking meets Mean Seeking for Fast Long Video Generation
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CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation
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Imagination Helps Visual Reasoning, But Not Yet in Latent Space
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MSJoE: Jointly Evolving MLLM and Sampler for Efficient Long-Form Video Understanding
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ThinkOmni: Lifting Textual Reasoning to Omni-modal Scenarios via Guidance Decoding
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AngelSlim: A more accessible, comprehensive, and efficient toolkit for large model compression
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Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization
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SceneTransporter: Optimal Transport-Guided Compositional Latent Diffusion for Single-Image Structured 3D Scene Generation
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SkyReels-V4: Multi-modal Video-Audio Generation, Inpainting and Editing model
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Generative Recommendation for Large-Scale Advertising
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Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization
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VGG-T3: Offline Feed-Forward 3D Reconstruction at Scale
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DualPath: Breaking the Storage Bandwidth Bottleneck in Agentic LLM Inference
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TrajTok: Learning Trajectory Tokens enables better Video Understanding
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The Art of Efficient Reasoning: Data, Reward, and Optimization
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World Guidance: World Modeling in Condition Space for Action Generatio
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The Design Space of Tri-Modal Masked Diffusion Models
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WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks
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ActionEngine: From Reactive to Programmatic GUI Agents via State Machine Memory
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UFO: Unifying Feed-Forward and Optimization-based Methods for Large Driving Scene Modeling
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From Pairs to Sequences: Track-Aware Policy Gradients for Keypoint Detection
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VGGDrive: Empowering Vision-Language Models with Cross-View Geometric Grounding for Autonomous Driving
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Test-Time Training with KV Binding Is Secretly Linear Attention
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Agents of Chaos
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S-PRESSO: Ultra Low Bitrate Sound Effect Compression With Diffusion Autoencoders And Offline Quantization
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gQIR: Generative Quanta Image Reconstruction
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Compositional Planning with Jumpy World Models
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SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning
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Toward the Thermodynamic Limit: Neural Operators for Non-equilibrium Dynamics of Mott Insulators
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Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining
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Haitao Lin
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How to Train Your Deep Research Agent? Prompt, Reward, and Policy Optimization in Search-R1
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Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians
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Event-Triggered Gossip for Distributed Learning
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MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning
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Discovering Multiagent Learning Algorithms with Large Language Models
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HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation
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ASTRA-bench: Evaluating Tool-Use Agent Reasoning and Action Planning with Personal User Context
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Wink: Recovering from Misbehaviors in Coding Agents
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Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space
