Alternatives and similar repositories for m2d2

Users that are interested in m2d2 are comparing it to the libraries listed below

• martiansideofthemoon / longeval-summarization
  Official repository for our EACL 2023 paper "LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization" (https…
  ☆44Updated 11 months ago
• nyu-mll / SQuALITY
  Query-focused summarization data
  ☆42Updated 2 years ago
• martiansideofthemoon / rankgen
  Official code and model checkpoints for our EMNLP 2022 paper "RankGen - Improving Text Generation with Large Ranking Models" (https://arx…
  ☆135Updated last year
• jungokasai / beam_with_patience
  ☆46Updated 3 years ago
• adapter-hub / hgiyt
  Research code for the paper "How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models"
  ☆27Updated 3 years ago
• google-research / t5x_retrieval
  ☆100Updated 2 years ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• cindyxinyiwang / expand-via-lexicon-based-adaptation
  Code for ACL 2022 paper "Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation"
  ☆30Updated 3 years ago
• tanyuqian / ctc-gen-eval
  EMNLP 2021 - CTC: A Unified Framework for Evaluating Natural Language Generation
  ☆97Updated 2 years ago
• jungokasai / twist_decoding
  ☆29Updated 3 years ago
• ivanmontero / autobot
  Implementation of the paper 'Sentence Bottleneck Autoencoders from Transformer Language Models'
  ☆17Updated 3 years ago
• bigscience-workshop / multilingual-modeling
  BLOOM+1: Adapting BLOOM model to support a new unseen language
  ☆72Updated last year
• martiansideofthemoon / relic-retrieval
  Official codebase accompanying our ACL 2022 paper "RELiC: Retrieving Evidence for Literary Claims" (https://relic.cs.umass.edu).
  ☆20Updated 3 years ago
• anthonywchen / MOCHA
  Code & data for EMNLP 2020 paper "MOCHA: A Dataset for Training and Evaluating Reading Comprehension Metrics".
  ☆16Updated 3 years ago
• ahmetustun / udapter
  UDapter is a multilingual dependency parser that uses "contextual" adapters together with language-typology features for language-specifi…
  ☆31Updated 2 years ago
• jiacheng-xu / lattice-generation
  Code for Massive-scale Decoding for Text Generation using Lattices
  ☆44Updated 2 years ago
• McGill-NLP / latent-translation
  Code for the paper "Modelling Latent Translations for Cross-Lingual Transfer"
  ☆17Updated 3 years ago
• AkariAsai / XORQA
  This is the official repository for NAACL 2021, "XOR QA: Cross-lingual Open-Retrieval Question Answering".
  ☆79Updated 4 years ago
• shayne-longpre / a-pretrainers-guide
  ☆72Updated 2 years ago
• vipulraheja / iterater
  Official implementation of the paper "IteraTeR: Understanding Iterative Revision from Human-Written Text" (ACL 2022)
  ☆78Updated last year
• facebookresearch / CCQA
  CCQA A New Web-Scale Question Answering Dataset for Model Pre-Training
  ☆32Updated 2 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 3 years ago
• norakassner / mlama
  ☆25Updated last year
• GEM-benchmark / GEM-metrics
  Automatic metrics for GEM tasks
  ☆66Updated 2 years ago
• martiansideofthemoon / hurdles-longform-qa
  Official repository with code and data accompanying the NAACL 2021 paper "Hurdles to Progress in Long-form Question Answering" (https://a…
  ☆46Updated 2 years ago
• jungokasai / deep-shallow
  ☆44Updated 4 years ago
• mia-workshop / MIA-Shared-Task-2022
  An official repository for MIA 2022 (NAACL 2022 Workshop) Shared Task on Cross-lingual Open-Retrieval Question Answering.
  ☆31Updated 3 years ago
• AkariAsai / CORA
  This is the official implementation of NeurIPS 2021 "One Question Answering Model for Many Languages with Cross-lingual Dense Passage Ret…
  ☆71Updated 3 years ago
• lucidrains / marge-pytorch
  Implementation of Marge, Pre-training via Paraphrasing, in Pytorch
  ☆76Updated 4 years ago
• jacobandreas / geca
  ☆42Updated 4 years ago