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Mini toolsPapers
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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
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Generated Reality: Human-centric World Simulation using Interactive Video Generation with Hand and Camera ControlStanford University
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The Geometry of Noise: Why Diffusion Models Don't Need Noise Conditioning
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SARAH: Spatially Aware Real-time Agentic Humans
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MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
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Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment
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El Agente Gráfico: Structured Execution Graphs for Scientific Agents
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Unified Latents (UL): How to train your latents
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Learning to Learn from Language Feedback with Social Meta-Learning
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Flow Map Language Models: One-step Language Modeling via Continuous Denoising
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OpenSage: Self-programming Agent Generation Engine
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Multi-agent cooperation through in-context co-player inference
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Factored Latent Action World Models
