Source code release for "Leveraging Demonstrations with Latent Space Priors"
In this codebase we establish a benchmark for egocentric user adaptation based on Ego4d.First, we start from a population model which has data from many users to learn user-agnostic representations.As the user gains more experience over its lifetime, we aim to tailor the general model to user-specific expert models.
Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)
This is the official PyTorch repo for "UNIREX: A Unified Learning Framework for Language Model Rationale Extraction" (ICML 2022).
Source code for the paper SALSA Attacking Lattice Cryptography with Transformers (Wenger et al., Neurips 2022)
This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.
Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering
Code for Navigating Connected Memories with a Task-oriented Dialog System
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03299)
Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
Official code release for the paper Coder Reviewer Reranking for Code Generation.
