This repository contains the FewGLUE dataset for few-shot natural language understanding.
☆160Sep 16, 2020Updated 5 years ago
Alternatives and similar repositories for fewglue
Users that are interested in fewglue are comparing it to the libraries listed below
Sorting:
- This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"☆1,628Jun 12, 2023Updated 2 years ago
- SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in c…☆359Feb 22, 2022Updated 4 years ago
- ☆18Dec 20, 2018Updated 7 years ago
- EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections☆52Sep 15, 2021Updated 4 years ago
- ☆67Oct 13, 2021Updated 4 years ago
- ☆24Jun 12, 2023Updated 2 years ago
- ReCross: Unsupervised Cross-Task Generalization via Retrieval Augmentation☆24May 1, 2022Updated 3 years ago
- [NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240☆168Oct 7, 2022Updated 3 years ago
- [EMNLP 2021] Improving and Simplifying Pattern Exploiting Training☆152Jun 10, 2022Updated 3 years ago
- Unifew: Unified Fewshot Learning Model☆18Sep 10, 2021Updated 4 years ago
- ☆344Aug 3, 2021Updated 4 years ago
- Few-shot NLP benchmark for unified, rigorous eval☆93Jul 12, 2022Updated 3 years ago
- This repository contains the code for "Generating Datasets with Pretrained Language Models".☆189Aug 17, 2021Updated 4 years ago
- FaVIQ: Fact Verification from Information-seeking Questions☆43Nov 23, 2022Updated 3 years ago
- Code for paper "CrossFit : A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)☆113Apr 28, 2022Updated 3 years ago
- Code and Data for ACL 2020 paper "Few-Shot NLG with Pre-Trained Language Model"☆190May 23, 2025Updated 9 months ago
- [ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723☆730Aug 29, 2022Updated 3 years ago
- Understanding the Difficulty of Training Transformers☆332May 31, 2022Updated 3 years ago
- Open-Retrieval Conversational Machine Reading: A new setting & OR-ShARC dataset☆13Nov 19, 2022Updated 3 years ago
- EMNLP 2021: Single-dataset Experts for Multi-dataset Question-Answering☆68Nov 26, 2021Updated 4 years ago
- Adversarial Natural Language Inference Benchmark☆399May 12, 2022Updated 3 years ago
- XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 ty…☆651Jan 4, 2023Updated 3 years ago
- Massively Multilingual Transfer for NER☆86Oct 7, 2021Updated 4 years ago
- [ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.o…☆606Jun 15, 2022Updated 3 years ago
- An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"☆131Apr 23, 2022Updated 3 years ago
- Binary Passage Retriever (BPR) - an efficient passage retriever for open-domain question answering☆175Jun 6, 2021Updated 4 years ago
- A text augmentation tool for named entity recognition.☆54Jul 22, 2021Updated 4 years ago
- Library for Knowledge Intensive Language Tasks☆967Mar 31, 2022Updated 3 years ago
- This project maintains a reading list for general text generation tasks☆66Nov 26, 2021Updated 4 years ago
- Multi-Task Deep Neural Networks for Natural Language Understanding☆2,258Mar 7, 2024Updated last year
- MTM☆143Nov 23, 2022Updated 3 years ago
- An original implementation of EMNLP 2020, "AmbigQA: Answering Ambiguous Open-domain Questions"☆121Apr 23, 2022Updated 3 years ago
- Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing☆286Aug 8, 2022Updated 3 years ago
- Lite Self-Training☆30Jul 25, 2023Updated 2 years ago
- EMNLP 2021 Tutorial: Multi-Domain Multilingual Question Answering☆38Nov 7, 2021Updated 4 years ago
- ☆35May 15, 2022Updated 3 years ago
- Data for EMNLP 2022 paper "arXivEdits: Understanding the Human Revision Process in Scientific Writing".☆14Sep 30, 2023Updated 2 years ago
- Code for the paper "True Few-Shot Learning in Language Models" (https://arxiv.org/abs/2105.11447)☆143Oct 25, 2021Updated 4 years ago
- ☆98Jun 6, 2022Updated 3 years ago