Akari Asai's repositories
OpenScholar
This repository includes the official implementation of OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.
learning_to_retrieve_reasoning_paths
The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".
logic_guided_qa
The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
ScholarQABench
This repository contains ScholarQABench data and evaluation pipeline.
evidentiality_qa
The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).
extractive_rc_by_runtime_mt
Code and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"
unanswerable_qa
The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".
OpenScholar_ExpertEval
This repository contains expert evaluation interface and data evaluation script for the OpenScholar project.
pytorch-pretrained-BERT
đź“–The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
wikiextractor
A tool for extracting plain text from Wikipedia dumps
word-embeddings-benchmarks
Package for evaluating word embeddings. This is forked from kududak/word-embeddings-benchmarks
AkariAsai.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ARC-Solvers
ARC Question Solvers
lm-evaluation-harness
A framework for few-shot evaluation of language models.
pytorch-playground
My PyTorch playground for NLP
simple-amt
A microframework for working with Amazon's Mechanical Turk
sparse-to-dense.pytorch
PyTorch Implementation of ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image"