HKUNLP / ProGenLinks
[EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
☆26Updated 2 years ago
Alternatives and similar repositories for ProGen
Users that are interested in ProGen are comparing it to the libraries listed below
Sorting:
- ☆27Updated 2 years ago
- Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.☆21Updated 2 years ago
- ☆41Updated last year
- [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.☆48Updated 3 years ago
- ☆44Updated last year
- Tasks for describing differences between text distributions.☆16Updated 9 months 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”.☆16Updated 3 years ago
- Supporting code for ReCEval paper☆28Updated 8 months ago
- The official code and dataset for EMNLP 2022 paper "COPEN: Probing Conceptual Knowledge in Pre-trained Language Models".☆20Updated 2 years ago
- ☆36Updated last year
- Augmenting Statistical Models with Natural Language Parameters☆26Updated 8 months ago
- PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)☆72Updated 2 years ago
- NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks☆20Updated 3 years ago
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- ☆44Updated 9 months ago
- Code for preprint: Summarizing Differences between Text Distributions with Natural Language☆42Updated 2 years ago
- Repository for ACL 2022 paper Mix and Match: Learning-free Controllable Text Generation using Energy Language Models☆42Updated 3 years ago
- The official repository for the paper "From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning".☆65Updated 2 years ago
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆23Updated 4 years ago
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆100Updated 2 years ago
- [EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning☆11Updated 2 years ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆31Updated last year
- Dataset for Unified Editing, EMNLP 2023. This is a model editing dataset where edits are natural language phrases.☆23Updated 9 months ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated last year
- ☆14Updated last year
- [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"☆109Updated last year
- ☆75Updated last year
- Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs☆36Updated last year