GAIA-2 Controllable Multi-View Generative World Model for Autonomous Driving

Distillation Scaling Laws

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Streaming DiLoCo: Efficient Distributed Training of Large Language Models

Efficiently Scaling Transformer Inference

Tülu 3: Pushing Frontiers in Open Language Model Post-Training

Bytedance: UI-TARS: End-to-End Model for Automated GUI Interaction

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

DeepSeek-V3: Advancements in Open-Source Large Language Models

Titans: Learning to Memorize at Test Time

Transformer2: Self-Adaptive Large Language Models

Learning to Learn Optimization Algorithms with LSTM Networks

Trust Region Policy Optimization

Efficient Deep Learning Parallelization using SOAP Search Space and FlexFlow Framework

Deep Retrieval: Learning Efficient Structures for Large-Scale Recommendation Systems

Scaling User Modeling for Personalized Advertising at Meta

LiNR: Revolutionizing Large-Scale Retrieval for Recommendation Systems

Comprehensive Guide to Real-Time Bidding (RTB): Challenges and Opportunities

Efficient Inference for Large Language Models with LLM.int8()

Enhancing Language Models with a Massive Datastore