ShaojieJiang / CT-LossLinks
The contrastive token loss function for reducing generative repetition of autoregressive neural language models.
☆13Updated 3 years ago
Alternatives and similar repositories for CT-Loss
Users that are interested in CT-Loss are comparing it to the libraries listed below
Sorting:
- We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…☆42Updated 2 years ago
- ☆50Updated 2 years ago
- Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)☆25Updated last year
- TBC☆27Updated 2 years ago
- PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)☆39Updated 2 years ago
- Detect hallucinated tokens for conditional sequence generation.☆64Updated 3 years ago
- ☆17Updated 2 years ago
- ☆58Updated 3 years ago
- ☆16Updated 2 years ago
- This repository contains the code for "How many data points is a prompt worth?"☆48Updated 4 years ago
- The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).☆44Updated 2 years ago
- ☆39Updated 2 years ago
- The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".☆27Updated 4 years ago
- The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Gene…☆26Updated last year
- Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking☆13Updated 2 years ago
- [NeurIPS 2022] Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings☆22Updated 2 years ago
- First explanation metric (diagnostic report) for text generation evaluation☆62Updated 4 months ago
- Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.☆34Updated last year
- The code for lifelong few-shot language learning☆55Updated 3 years ago
- code for the table-based open domain question answering project, with paper title: "Reasoning over Hybrid Chain for Table-and-Text Open D…☆12Updated 2 years ago
- FRANK: Factuality Evaluation Benchmark☆57Updated 2 years ago
- [NAACL 2022] Contrastive Learning for Prompt-based Few-shot Language Learners☆22Updated 2 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Updated 3 years ago
- Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Textual Style Transfer☆35Updated 2 years ago
- Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"☆62Updated 2 years ago
- Supervised Contrastive Learning for Downstream Optimized Sequence Representations☆27Updated 3 years ago
- Official code repository for "Exploring Neural Models for Query-Focused Summarization".☆50Updated 2 years ago
- Code base of In-Context Learning for Dialogue State tracking☆45Updated last year
- ☆82Updated 2 years ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 3 years ago