BatsResearch / nplm
A weak supervision framework for (partial) labeling functions
☆16Updated 10 months ago
Alternatives and similar repositories for nplm
Users that are interested in nplm are comparing it to the libraries listed below
Sorting:
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- Embedding Recycling for Language models☆38Updated last year
- Few-shot Learning with Auxiliary Data☆27Updated last year
- official repo of AAAI2024 paper Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization☆13Updated last year
- ☆13Updated 2 years ago
- Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost☆8Updated 11 months ago
- SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…☆33Updated 11 months ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Updated 3 years ago
- ☆22Updated 3 months ago
- Language Models as Hierarchy Encoders☆26Updated 3 weeks ago
- Applies ROME and MEMIT on Mamba-S4 models☆14Updated last year
- Ranking of fine-tuned HF models as base models.☆35Updated last week
- In-BoXBART: Get Instructions into Biomedical Multi-task Learning☆14Updated 2 years ago
- Lightweight implementations of generative label models for weakly supervised machine learning☆22Updated last year
- ☆12Updated 5 months ago
- ☆18Updated last year
- Zero-Shot Learning in Named Entity Recognition with Common Sense Knowledge☆17Updated 3 years ago
- Tasks for describing differences between text distributions.☆16Updated 9 months ago
- Measuring if attention is explanation with ROAR☆22Updated 2 years ago
- Starbucks: Improved Training for 2D Matryoshka Embeddings☆19Updated 3 months ago
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 3 years ago
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated 2 years ago
- ☆17Updated 3 years ago
- ☆13Updated last year
- [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.☆26Updated 2 years ago
- Materials for paper "Are Large Language Models Temporally Grounded?"☆10Updated last year
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆42Updated 2 months ago
- ☆36Updated 2 years ago
- Code for our EMNLP '22 paper "Fixing Model Bugs with Natural Language Patches"☆19Updated 2 years ago
- ☆13Updated 3 weeks ago