ypapanik / t5-for-code-generationLinks
Semantic Parsing with text-to-text Transformers
☆21Updated 5 years ago
Alternatives and similar repositories for t5-for-code-generation
Users that are interested in t5-for-code-generation are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation of EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks☆62Updated 4 years ago
- Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking☆13Updated 3 years ago
- The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).☆44Updated 3 years ago
- PyTorch reimplementation of the paper "SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization"☆16Updated 4 years ago
- ☆39Updated 3 years ago
- Official codebase accompanying our ACL 2022 paper "RELiC: Retrieving Evidence for Literary Claims" (https://relic.cs.umass.edu).☆20Updated 3 years ago
- Official implementation of the paper "IteraTeR: Understanding Iterative Revision from Human-Written Text" (ACL 2022)☆80Updated 2 years ago
- The data and code for EmailSum☆63Updated 4 years ago
- FactSumm: Factual Consistency Scorer for Abstractive Summarization☆113Updated 2 years ago
- ☆11Updated 5 years ago
- Implementation of the paper 'Plug and Play Autoencoders for Conditional Text Generation'☆43Updated 4 years ago
- A BART version of an open-domain QA model in a closed-book setup☆119Updated 5 years ago
- Research code for the paper "How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models"☆28Updated 4 years ago
- Simple Questions Generate Named Entity Recognition Datasets (EMNLP 2022)☆76Updated 2 years ago
- Official repository for our EACL 2023 paper "LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization" (https…☆44Updated last year
- ☆68Updated 9 months ago
- ☆71Updated 4 years ago
- ☆78Updated last year
- ☆13Updated 4 years ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 3 years ago
- Repository for the Dynamically Generated Hate Speech Dataset by Vidgen et al. (2021).☆46Updated 8 months ago
- Ensembling Hugging Face transformers made easy☆61Updated 3 years ago
- Detect hallucinated tokens for conditional sequence generation.☆64Updated 3 years ago
- Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Textual Style Transfer☆36Updated 3 years ago
- 🦮 Code and pretrained models for Findings of ACL 2022 paper "LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrie…☆49Updated 3 years ago
- EMNLP 2021 - CTC: A Unified Framework for Evaluating Natural Language Generation☆97Updated 2 years ago
- The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)☆53Updated 3 years ago
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆51Updated 2 years ago
- Long-context pretrained encoder-decoder models☆96Updated 3 years ago
- This repository contains the code for "How many data points is a prompt worth?"☆48Updated 4 years ago