damith92 / T5_encoder_decoder_prompt_tuning_for_text_generation
The model implementations for T5 encoder decoder soft prompt tuning for text generation.
☆24Updated 2 years ago
Alternatives and similar repositories for T5_encoder_decoder_prompt_tuning_for_text_generation:
Users that are interested in T5_encoder_decoder_prompt_tuning_for_text_generation are comparing it to the libraries listed below
- ☆26Updated 2 years ago
- The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Gene…☆25Updated last year
- This repository contains the code for paper Prompting ELECTRA Few-Shot Learning with Discriminative Pre-Trained Models.☆46Updated 2 years ago
- ☆16Updated 2 years ago
- Open-WikiTable :Dataset for Open Domain Question Answering with Complex Reasoning over Table☆22Updated last year
- ConTextual Mask Auto-Encoder for Dense Passage Retrieval☆35Updated 2 months ago
- TBC☆26Updated 2 years ago
- Official code for "Continual Prompt Tuning for Dialog State Tracking" (ACL 2022).☆27Updated last year
- Detect hallucinated tokens for conditional sequence generation.☆64Updated 2 years ago
- First explanation metric (diagnostic report) for text generation evaluation☆62Updated 6 months ago
- Code and Data Repo for [ACL 2023] Paper "Element-aware Summary and Summary Chain-of-Thought (SumCoT)"☆54Updated 11 months ago
- We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…☆41Updated 2 years ago
- PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)☆38Updated 2 years ago
- Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Textual Style Transfer☆34Updated 2 years ago
- code associated with ACL 2021 DExperts paper☆114Updated last year
- Codes for our paper "CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation" (ACL 2022)☆31Updated 2 years ago
- Repository for ACL 2022 paper Mix and Match: Learning-free Controllable Text Generation using Energy Language Models☆41Updated 2 years ago
- Code and data for the FACTOR paper☆44Updated last year
- ☆48Updated last year
- Source code for paper "Learning from Noisy Labels for Entity-Centric Information Extraction", EMNLP 2021☆55Updated 3 years ago
- ☆36Updated last year
- Token-level Reference-free Hallucination Detection☆93Updated last year
- Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study☆43Updated last year
- ☆37Updated 2 years ago
- Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"☆67Updated last year
- The contrastive token loss function for reducing generative repetition of autoregressive neural language models.☆12Updated 2 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆39Updated last year
- PyTorch reimplementation of the paper "SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization"☆16Updated 3 years ago
- Mutual Information Predicts Hallucinations in Abstractive Summarization☆12Updated 2 years ago
- Pytorch Implementation of EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks☆63Updated 2 years ago