FranxYao / Distributional-Generalization-in-Natural-Language-ProcessingLinks
Distributional Generalization in NLP. A roadmap.
☆88Updated 3 years ago
Alternatives and similar repositories for Distributional-Generalization-in-Natural-Language-Processing
Users that are interested in Distributional-Generalization-in-Natural-Language-Processing are comparing it to the libraries listed below
Sorting:
- ☆75Updated 2 years ago
- Code for paper "CrossFit : A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)☆113Updated 3 years ago
- Official Code for the papers: "Controlled Text Generation as Continuous Optimization with Multiple Constraints" and "Gradient-based Const…☆65Updated last year
- ☆47Updated last year
- ☆114Updated 3 years ago
- ☆54Updated 2 years ago
- ☆177Updated last year
- Code for preprint: Summarizing Differences between Text Distributions with Natural Language☆43Updated 2 years ago
- ☆83Updated 2 years ago
- Code for Editing Factual Knowledge in Language Models☆142Updated 3 years ago
- Language modeling via stochastic processes. Oral @ ICLR 2022.☆138Updated 2 years ago
- Repository for ACL 2022 paper Mix and Match: Learning-free Controllable Text Generation using Energy Language Models☆45Updated 3 years ago
- The official repository for the paper "From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning".☆66Updated 2 years ago
- reStructured Pre-training☆99Updated 3 years ago
- ☆58Updated 3 years ago
- An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"☆131Updated 3 years ago
- Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"☆78Updated 2 years ago
- ☆42Updated 5 years ago
- Companion repo for "Evaluating Verifiability in Generative Search Engines".☆85Updated 2 years ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated 2 years ago
- [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.☆27Updated 2 years ago
- ☆35Updated 4 years ago
- Provides a minimal implementation to extract FLAN datasets for further processing☆11Updated 2 years ago
- [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674☆196Updated 2 years ago
- code associated with ACL 2021 DExperts paper☆118Updated 2 years ago
- Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃☆114Updated 3 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆61Updated 2 years ago
- This project maintains a reading list for general text generation tasks☆66Updated 4 years ago
- DEMix Layers for Modular Language Modeling☆54Updated 4 years ago
- ☆88Updated 2 years ago