MetNet-3
Google's MetNet-3 is a state-of-the-art neural weather model extending lead time and variable coverage well beyond prior observation-based models.
Evaluating LLMs Survey
A comprehensive survey of LLM evaluation covering benchmarks, methodologies, and open problems.
Battle of the Backbones
A large-scale benchmarking framework that compares vision backbones across a diverse suite of computer vision tasks.
ChipNeMo (LLMs for Chip Design)
NVIDIA's ChipNeMo applies domain-adapted LLMs to industrial chip design workflows.
YaRN (Efficient Context Extension)
YaRN is a compute-efficient method for extending the context window of LLMs well beyond their pretrained length.
Open DAC 2023
Meta releases a large DFT dataset for training ML models that predict sorbent-adsorbate interactions in Direct Air Capture (DAC).
Symmetry in Machine Learning
A methodological framework for enforcing, discovering, and promoting symmetry in machine learning models.
Next-Generation AlphaFold
DeepMind previews the next AlphaFold with dramatically expanded scope of biomolecular complexes.
EmotionPrompt
Microsoft researchers show that appending emotional stimuli to prompts reliably improves LLM performance across 45 tasks.
FP8-LM
Microsoft's FP8-LM demonstrates that most LLM training variables - gradients, optimizer states - can use FP8 without sacrificing accuracy.