jpwahle / emnlp23-paraphrase-typesLinks
The official implementation of the EMNLP 2023 paper "Paraphrase Types for Generation and Detection"
☆13Updated 8 months ago
Alternatives and similar repositories for emnlp23-paraphrase-types
Users that are interested in emnlp23-paraphrase-types are comparing it to the libraries listed below
Sorting:
- Code for paper 'Data-Efficient FineTuning'☆29Updated 2 years ago
- This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation.☆72Updated 2 years ago
- The data and the PyTorch implementation for the models and experiments in the paper "Exploiting Asymmetry for Synthetic Training Data Gen…☆63Updated 2 years ago
- A extension of Transformers library to include T5ForSequenceClassification class.☆38Updated 2 years ago
- Code and dataset for the emnlp paper titled Instruct and Extract: Instruction Tuning for On-Demand Information Extraction☆53Updated last year
- [ACL 2023] Few-shot Reranking for Multi-hop QA via Language Model Prompting☆27Updated 2 years ago
- Code repo for EMNLP 2023 paper "Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models"☆22Updated last year
- codes and pre-trained models of paper "Segatron: Segment-aware Transformer for Language Modeling and Understanding"☆18Updated 2 years ago
- Source for the ACL 2021 Findings paper "Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models"☆50Updated 2 years ago
- [NeurIPS 2021] Open Rule Induction☆19Updated 3 years ago
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆67Updated 2 years ago
- Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs [EMNLP 2023 Findings]☆23Updated last year
- [Neurips2023] Source code for Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory☆60Updated 2 years ago
- [EMNLP 2023] Knowledge Rumination for Pre-trained Language Models☆17Updated 2 years ago
- ALIGNIE: Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation☆20Updated 2 years ago
- [NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.☆57Updated last year
- ACL 2023 (Findings) - BertNet: Harvesting Knowledge Graphs from Pretrained Language Models☆105Updated last year
- PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance☆14Updated last year
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆41Updated last year
- Code for embedding and retrieval research.☆16Updated last year
- Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study☆43Updated 2 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Updated 3 years ago
- Code for COLING22 paper, DPTDR: Deep Prompt Tuning for Dense Passage Retrieval☆25Updated last year
- CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding. EMNLP 2022☆31Updated 2 years ago
- [ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning☆42Updated 2 years ago
- ☆25Updated 2 years ago
- This is the code for the Submission 3358 at NeurIPS 2022.☆22Updated 2 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆40Updated 2 years ago
- [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.☆48Updated 3 years ago
- PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxi…☆106Updated last year