Researchers introduce Depth-Entropy Guided Sampling (DEGS), a training-free test-time method that exploits layer-wise entropy collapse in transformer forward passes to improve LLM reasoning. Across th…
Researchers introduced LearnStop, a cost-aware early-exit method for reasoning language models that learns when to stop computation based on online features like answer confidence and entropy. Across …
Anthropic released Claude 3.5 Sonnet, a new AI model that outperforms the previous top-tier Claude 3 Opus in intelligence, speed, and cost. The model achieves a 64% solve rate on internal agentic codi…
A new study from researchers testing adapter composition in large language models found that geometry-aware merging strategies, which enforce orthogonality or directional independence in parameter upd…
NVIDIA researchers developed a task-seeded synthetic Q&A generation workflow for Nemotron-family pretraining that uses public task training splits as capability seeds to generate new task-aligned exam…