microsoft / advNLGLinks
☆25Updated 3 years ago
Alternatives and similar repositories for advNLG
Users that are interested in advNLG are comparing it to the libraries listed below
Sorting:
- UNISUMM: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning☆61Updated 2 years ago
- ☆70Updated 3 years ago
- [EMNLP 2022] TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data☆17Updated 2 years ago
- [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation☆152Updated 2 years ago
- ☆64Updated 3 years ago
- ☆83Updated 2 years ago
- ☆42Updated 2 years ago
- Code for the paper "Open Domain Question Answering with A Unified Knowledge Interface" (ACL 2022)☆55Updated 2 years ago
- ☆35Updated 3 years ago
- [ACL 2023] Learning Multi-step Reasoning by Solving Arithmetic Tasks. https://arxiv.org/abs/2306.01707☆24Updated 2 years ago
- ☆31Updated 4 years ago
- A benchmark dataset for evaluating dialog system and natural language generation metrics.☆39Updated 3 years ago
- An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"☆131Updated 3 years ago
- ☆32Updated 2 years ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆63Updated 2 years ago
- ACL'23: Unified Demonstration Retriever for In-Context Learning☆38Updated 2 years ago
- Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning☆100Updated 2 years ago
- Official codebase for “In-Context Learning with Many Demonstration Examples”☆16Updated 2 years ago
- This repository contains source code for the PASTA model, a pre-trained language model for table-based fact verification.☆18Updated 3 years ago
- ☆16Updated 3 years ago
- ☆28Updated last year
- ☆39Updated 3 years ago
- Code for our ACL2021 paper Neural Machine Translation with Monolingual Translation Memory☆82Updated 2 years ago
- ☆88Updated 3 years ago
- This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.☆16Updated 2 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆42Updated 2 years ago
- ☆116Updated 3 years ago
- ☆44Updated 2 years ago
- Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"☆46Updated 4 years ago
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆70Updated 3 years ago