Zephyr
Hugging Face's Zephyr-7B is a 7B parameter LLM whose chat performance rivals much larger chat models aligned with human feedback.
Fact-Checking with LLMs
Investigates the fact-checking capabilities of frontier LLMs across multiple languages and claim types.
Matryoshka Diffusion Models
Apple introduces an end-to-end framework for high-resolution image and video synthesis that denoises across multiple resolutions jointly.
Spectron
Google's Spectron is a spoken-language model trained end-to-end on raw spectrograms rather than text or discrete audio tokens.
LLMs Meet New Knowledge
A benchmark that evaluates how well LLMs handle new knowledge beyond their training cutoff.
Min-K% Prob (Detecting Pretraining Data)
Proposes Min-K% Prob as an effective detection method for determining whether specific text was in an LLM's pretraining data.
ConvNets Match Vision Transformers
DeepMind shows that strong ConvNet architectures pretrained at scale match ViTs on ImageNet performance at comparable compute.
CommonCanvas
Releases CommonCanvas, a text-to-image dataset composed entirely of Creative-Commons-licensed images.
Managing AI Risks (Bengio, Hinton, et al.)
A high-profile position paper by leading AI researchers laying out risks from upcoming advanced AI systems.
Branch-Solve-Merge (BSM)
BSM decomposes LLM tasks into parallel sub-tasks via three LLM-programmed modules: branch, solve, and merge.
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