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WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks
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Experiential Reinforcement 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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LLM-in-Sandbox Elicits General Agentic Intelligence
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On-Policy Context Distillation for Language Models
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See Less, See Right: Bi-directional Perceptual Shaping For Multimodal Reasoning
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LIVE: Long-horizon Interactive Video World Modeling
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Closing the Loop: Universal Repository Representation with RPG-Encoder
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CUA-Skill: Develop Skills for Computer Using Agent
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AgentRx: Diagnosing AI Agent Failures from Execution Trajectories
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X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests
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LLM-42: Enabling Determinism in LLM Inference with Verified Speculation
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Lost in Transmission: When and Why LLMs Fail to Reason Globally
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Efficient Autoregressive Video Diffusion with Dummy Head
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Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs
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Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning
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Controlled LLM Training on Spectral Sphere
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InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training
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Thinking with Blueprints: Assisting Vision-Language Models in Spatial Reasoning via Structured Object Representation
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From Word to World: Can Large Language Models be Implicit Text-based World Models?
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Sigma-MoE-Tiny Technical Report
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FlashPortrait: 6x Faster Infinite Portrait Animation with Adaptive Latent Prediction
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Spatia: Video Generation with Updatable Spatial Memory
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Native and Compact Structured Latents for 3D Generation
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Wait, Wait, Wait... Why Do Reasoning Models Loop?
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Glance: Accelerating Diffusion Models with 1 Sample
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Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion
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VIGS-SLAM: Visual Inertial Gaussian Splatting SLAM
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The Art of Scaling Test-Time Compute for Large Language Models
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ThetaEvolve: Test-time Learning on Open Problems
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LatBot: Distilling Universal Latent Actions for Vision-Language-Action Models
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SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
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Autoregressive Speech Synthesis without Vector Quantization
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LLMs Get Lost In Multi-Turn Conversation
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AI-Instruments: Embodying Prompts as Instruments to Abstract & Reflect Graphical Interface Commands as General-Purpose Tools
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AI at Work Is Here. Now Comes the Hard Part
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Towards Making the Most of ChatGPT for Machine Translation
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BitNet: Scaling 1-bit Transformers for Large Language Models
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
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Phi-2: A Small Language Model with Reasoning Capability
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Textbooks Are All You Need
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Orca: Progressive Learning from Complex Explanation Traces of GPT-4
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ReWOO: Decoupling Reasoning from Observation for Efficient LLM Reasoning
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Sparks of Artificial General Intelligence: Early experiments with GPT-4
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Language Is Not All You Need: Aligning Perception with Language Models
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Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
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Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
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LoRA: Low-Rank Adaptation of Large Language Models
