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HRM-Text: Efficient Pretraining Beyond Scaling
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HRM-Text: Efficient Pretraining Beyond Scaling
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OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization
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Mega-ASR: Towards In-the-wild^2 Speech Recognition via Scaling up Real-world Acoustic Simulation
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CogOmniControl: Reasoning-Driven Controllable Video Generation via Creative Intent Cognition
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AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration
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Spectral classification of brown dwarfs using machine learning
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Generative Recursive Reasoning
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WavFlow: Audio Generation in Waveform Space
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Stable Audio 3
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ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents
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Look Before You Leap: Autonomous Exploration for LLM Agents
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ReactiveGWM: Steering NPC in Reactive Game World Models
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Is Grep All You Need? How Agent Harnesses Reshape Agentic Search
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FutureSim: Replaying World Events to Evaluate Adaptive Agents
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Self-Distilled Agentic Reinforcement Learning
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Useful Memories Become Faulty When Continuously Updated by LLMs
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Targeted Neuron Modulation via Contrastive Pair Search
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Slicing and Dicing: Configuring Optimal Mixtures of Experts
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$δ$-mem: Efficient Online Memory for Large Language Models
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Solve the Loop: Attractor Models for Language and Reasoning
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ELF: Embedded Language Flows
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Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models
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The Truth Lies Somewhere in the Middle (of the Generated Tokens)
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Qwen-Image-2.0 Technical Report
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Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants
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GLiGuard: Schema-Conditioned Classification for LLM Safeguard
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Fast Byte Latent Transformer
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Long Context Pre-Training with Lighthouse Attention
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Efficient Pre-Training with Token Superposition
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Continuous Latent Diffusion Language Model
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MiniMind-O Technical Report: An Open Small-Scale Speech-Native Omni Model
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VLMaxxing through FrameMogging Training-Free Anti-Recomputation for Video Vision-Language Models
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Sharpness-Aware Pretraining Mitigates Catastrophic Forgetting
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HeavySkill: Heavy Thinking as the Inner Skill in Agentic Harness
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Model Spec Midtraining: Improving How Alignment Training Generalizes
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A Theory of Generalization in Deep Learning
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Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding ToolsMicrosoft / Massachusetts Institute of Technology, National Bureau of Economic Research (NBER), University of Pennsylvania
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Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs
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Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning
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Map2World: Segment Map Conditioned Text to 3D World Generation
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Let ViT Speak: Generative Language-Image Pre-training
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Contextual Agentic Memory is a Memo, Not True Memory
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From Context to Skills: Can Language Models Learn from Context Skillfully?
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Synthetic Computers at Scale for Long-Horizon Productivity Simulation
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Decoupling the Benefits of Subword Tokenization for Language Model Training via Byte-level Simulation
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GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
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DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training
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Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding
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Recursive Multi-Agent Systems
