alexa / kilm
☆23Updated last year
Alternatives and similar repositories for kilm
Users that are interested in kilm 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…☆41Updated 2 years ago
- An Interpretable Neuro-Symbolic Framework for Task-Oriented Dialogue Generation☆24Updated 3 years ago
- TBC☆27Updated 2 years ago
- Lexically constrained text generation with CBART.☆48Updated 2 years ago
- Code and data for "Retrieval Enhanced Model for Commonsense Generation" (ACL-IJCNLP 2021).☆28Updated 3 years ago
- ☆26Updated 2 years ago
- Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"☆64Updated 3 years ago
- Code for paper Document-Level Paraphrase Generation with Sentence Rewriting and Reordering by Zhe Lin, Yitao Cai and Xiaojun Wan. This pa…☆25Updated 3 years ago
- Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)☆25Updated last year
- Source code for paper on commonsense reasoning for 2020 Annual Conference of the Association for Computational Linguistics (ACL) 2020.☆29Updated 9 months ago
- The implementation of the paper "Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters".☆17Updated 2 years ago
- Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"☆67Updated 3 years ago
- Codes for "NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer" (ACL 2021 findings)☆15Updated 3 years ago
- ☆48Updated 2 years ago
- [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering☆45Updated 2 years ago
- ☆16Updated 2 years ago
- PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)☆39Updated 2 years ago
- ☆17Updated 4 years ago
- The contrastive token loss function for reducing generative repetition of autoregressive neural language models.☆13Updated 3 years ago
- ☆36Updated last year
- Mutual Information Predicts Hallucinations in Abstractive Summarization☆12Updated 2 years ago
- Perturbation CheckLists for Evaluating NLG Evaluation Metrics, EMNLP 2021☆9Updated 3 years ago
- A unified approach to explain conditional text generation models. Pytorch. The code of paper "Local Explanation of Dialogue Response Gene…☆17Updated 3 years ago
- 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 4 years ago
- Code Repo for the ACL21 paper "Common Sense Beyond English: Evaluating and Improving Multilingual LMs for Commonsense Reasoning"☆22Updated 3 years ago
- An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation☆27Updated 11 months ago
- ☆38Updated 2 years ago
- Resources for paper "DialSummEval: Revisiting summarization evaluation for dialogues"☆15Updated 2 years ago
- ☆32Updated last month
- This repository contains the code for "How many data points is a prompt worth?"☆48Updated 4 years ago