This is the official repository for the paper titled "Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG" accepted in the 47th European Conference f…

Official Implementation of "DeLLMa: Decision Making Under Uncertainty with Large Language Models"

Official Implementation of "DeLLMa: Decision Making Under Uncertainty with Large Language Models"

macOS system monitor in your menu bar

Extending Conformal Prediction to LLMs

Processed / Cleaned Data for Paper Copilot

[ICLR2025] DiffuGPT and DiffuLLaMA: Scaling Diffusion Language Models via Adaptation from Autoregressive Models

Recipes to train reward model for RLHF.

Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-training, alignment), test-time computation, reasoning, safet…

Cell type annotation with local Large Language Models (LLMs) - Ensuring privacy and speed with extensive customized reports

Classical equations and diagrams in machine learning

A Chrome extension that “steals” a button from every website you open.

Hacker News clone written with universal TypeScript, using React and Remix.

Code for the ALiBi method for transformer language models (ICLR 2022)

Implementation of PAC Confidence Sets for Deep Neural Network (ICLR20)

Shared task on Large-Scale Radiology Report Generation @ BioNLP ACL'24

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

A beautiful, simple, clean, and responsive Jekyll theme for academics

High-Resolution Image Synthesis with Latent Diffusion Models

ACL 2023: Evaluating Open-Domain Question Answering in the Era of Large Language Models

A foundation model for knowledge graph reasoning