amazon-science Goto Github PK

.github

abstractive-factual-tradeoff

Code and data for the Dreyer et al (2023) paper on abstractiveness and factuality in abstractive summarization

active-sampling-for-minmax-fairness

adapt-image-models

adaptive-in-context-learning

AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection

adasum

adversarial-robustness-with-nonuniform-perturbations

alexa-arena

alexa-teacher-models

amazon-alexa-language-assisted-product-search

The package defines a set of tool to access the annotated data we collected for 2022 Amazon Alexa language-assisted product search challenge.

amazon-multilingual-counterfactual-dataset

amazon-od3

amazon-rtrextractor

anti-aliasing-transformer

assaying-ood

auto-cot

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

avgen-eval-toolkit

aws-dialogue-qa-pair-generation

aws-swing

azcausal

Causal Inference in Python

background-summaries

Repository for "Background Summarization of Event Timelines"

bartgraphsumm

Implementation of the paper "Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters (NAACL 2021)"

bias-bounties

Bias bounties codebase for "An Algorithmic Framework for Bias Bounties" paper by Globus-Harris, Kearns, and Roth

bigdetection

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

bio-mqm-dataset

Dataset and codebase for "Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains"

bo-early-stopping

bold

Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper

boon

Datasets and code for results presented in the BOON paper

boostedadassp

buggy-code-completion