Research Tools: code, datasets, & models

Crescent adds privacy to existing credentials with zero-knowledge. Crescent is a library to generate proofs of possession of JSON Web Tokens (JWT) and mobile Driver’s Licenses (mDL) credentials. By creating a proof for a JWT…

Scalable long-context LLM decoding that leverages sparsity—by treating the KV cache as a vector storage system. RetroInfer is a novel system that rethinks the KV cache as vector storage within a GPU–CPU co-execution setup to…

Structured Entity Extraction and the Approximate Entity Set OverlaP (AESOP) metric are designed to appropriately assess model performance.

AttentionEngine accelerates transformer attention variants by generating efficient custom kernels, enabling model designers to easily create new variants with our flexible API.

Understanding land use over time is critical to tracking events related to climate change, like deforestation. However, satellite-based remote sensing tools which are used for monitoring struggle to differentiate vegetation types in farms and orchards…

SeerAttention is a learning-based method to enable block-level sparse attention for long-context LLM without using prefined static pattern or heuristic methods. It can be applied in Post-training or Fine-tuning stages. The Attention Gate units learn…

OmniParser is an advanced vision-based screen parsing module that converts user interface (UI) screenshots into structured elements, allowing agents to execute actions across various applications using visual data . By harnessing large vision-language model capabilities,…

This is the repository for paper “Causal integration of chemical structures in self-supervised learning improves representations of microscopy images for morphological profiling”. Learning effective representations of cells in microscopy images can fuel many applications. Here,…

PromptPex is a tool for exploring and testing AI model prompts. PromptPex is intended to be used by developers who have prompts as part of their code base. PromptPex treats a prompt as a function…

ProtNote is a multimodal deep learning model that leverages free-form text to enable both supervised and zero-shot protein function prediction.