Alternatives and similar repositories for MADE:

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

• luciusssss / why-learn-shortcut
  [ACL'21 Findings] Why Machine Reading Comprehension Models Learn Shortcuts?
  ☆16Updated last year
• yumoxu / marge
  Code for ACL 21: Generating Query Focused Summaries from Query-Free Resources
  ☆33Updated 2 years ago
• princeton-nlp / EvalConvQA
  [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering
  ☆45Updated 2 years ago
• yxuansu / NAG-BERT
  [EACL'21] Non-Autoregressive with Pretrained Language Model
  ☆62Updated 2 years ago
• HanNight / RE-T5
  Code and data for "Retrieval Enhanced Model for Commonsense Generation" (ACL-IJCNLP 2021).
  ☆28Updated 3 years ago
• facebookresearch / reconsider
  ReConsider is a re-ranking model that re-ranks the top-K (passage, answer-span) predictions of an Open-Domain QA Model like DPR (Karpukhi…
  ☆49Updated 3 years ago
• harsh19 / Reasoning-Chains-MultihopQA
  Code and Data for our EMNLP 2020 paper titled 'Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multiho…
  ☆28Updated 3 years ago
• yuwfan / FILTER
  ☆21Updated 3 years ago
• INK-USC / XCSR
  Code Repo for the ACL21 paper "Common Sense Beyond English: Evaluating and Improving Multilingual LMs for Commonsense Reasoning"
  ☆22Updated 3 years ago
• microsoft / glge
  Code for ACL2021 paper: "GLGE: A New General Language Generation Evaluation Benchmark"
  ☆58Updated 2 years ago
• facebookresearch / Zero-Shot-DST
  Zero-shot dialogue state tracking (DST)
  ☆82Updated 3 years ago
• SAP-samples / acl2020-commonsense
  Source code for paper on commonsense reasoning for 2020 Annual Conference of the Association for Computational Linguistics (ACL) 2020.
  ☆28Updated 6 months ago
• allenai / flex
  Few-shot NLP benchmark for unified, rigorous eval
  ☆91Updated 2 years ago
• luyang-huang96 / LongDocSum
  Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"
  ☆66Updated 3 years ago
• microsoft / CLUES
  ☆34Updated 2 years ago
• xwhan / ProQA
  Progressively Pretrained Dense Corpus Index for Open-Domain QA and Information Retrieval
  ☆43Updated last year
• THUDM / FewNLU
  ☆66Updated 3 years ago
• AkariAsai / logic_guided_qa
  The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
  ☆71Updated 6 months ago
• qkaren / unsup_gen_for_cms_reasoning
  ☆49Updated last year
• nlpyang / NoisySumm
  Codes for NAACL 2021 paper 'Noisy Self-Knowledge Distillation for Text Summarization'
  ☆23Updated 3 years ago
• bozheng-hit / xTune
  ☆50Updated 3 years ago
• TevenLeScao / pet
  This repository contains the code for "How many data points is a prompt worth?"
  ☆48Updated 3 years ago
• MiuLab / FlowDelta
  FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension
  ☆36Updated 2 years ago
• Yifan-Gao / Discern
  [EMNLP 2020] Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
  ☆36Updated 2 years ago
• fuzihaofzh / repetition-problem-nlg
  Code for the paper "A Theoretical Analysis of the Repetition Problem in Text Generation" in AAAI 2021.
  ☆51Updated 2 years ago
• Alibaba-NLP / AIN
  Code for our EMNLP 2020 Paper "AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network"
  ☆18Updated 2 years ago
• zycdev / AISO
  Authors' implementation of the paper Adaptive Information Seeking for Open-Domain Question Answering, published in EMNLP 2021.
  ☆37Updated last year
• salesforce / DialFact
  We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…
  ☆41Updated 2 years ago
• uclanlp / ParaBART
  Code for our NAACL-2021 paper "Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models".
  ☆24Updated 3 years ago
• boyuanzheng010 / SemEval2021-Reading-Comprehension-of-Abstract-Meaning
  This is the repository for SemEval 2021 Task 4: Reading Comprehension of Abstract Meaning. It includes code for baseline models and data.
  ☆30Updated 3 years ago