BatsResearch / nplm
A weak supervision framework for (partial) labeling functions
☆16Updated 7 months ago
Alternatives and similar repositories for nplm:
Users that are interested in nplm are comparing it to the libraries listed below
- Few-shot Learning with Auxiliary Data☆26Updated last year
- Embedding Recycling for Language models☆38Updated last year
- Language Models as Hierarchy Encoders☆22Updated 2 weeks ago
- Adding new tasks to T0 without catastrophic forgetting☆32Updated 2 years ago
- Applies ROME and MEMIT on Mamba-S4 models☆14Updated 10 months ago
- This repo contains code for the paper "Psychologically-informed chain-of-thought prompts for metaphor understanding in large language mod…☆14Updated last year
- SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…☆31Updated 9 months ago
- Ranking of fine-tuned HF models as base models.☆35Updated last year
- This is the official PyTorch repo for "UNIREX: A Unified Learning Framework for Language Model Rationale Extraction" (ICML 2022).☆24Updated 2 years ago
- Tasks for describing differences between text distributions.☆16Updated 6 months ago
- Starbucks: Improved Training for 2D Matryoshka Embeddings☆18Updated 3 weeks ago
- Code for equipping pretrained language models (BART, GPT-2, XLNet) with commonsense knowledge for generating implicit knowledge statement…☆16Updated 3 years ago
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 2 years ago
- Finding semantically meaningful and accurate prompts.☆46Updated last year
- PyTorch implementation for MRL☆18Updated last year
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- Exploration using DSPy to optimize modules to maximize performance on the OpenToM dataset☆14Updated 11 months ago
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated last year
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated last year
- Experiments on GPT-3's ability to fit numerical models in-context.☆14Updated 2 years ago
- ☆23Updated 6 months ago
- ☆19Updated 2 years ago
- Lightweight implementations of generative label models for weakly supervised machine learning☆20Updated 10 months ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆39Updated 10 months ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 3 years ago
- Official implementation of Vector-ICL: In-context Learning with Continuous Vector Representations☆12Updated last week
- ☆22Updated 2 years ago
- ☆33Updated last year
- ☆22Updated 11 months ago
- In-BoXBART: Get Instructions into Biomedical Multi-task Learning☆14Updated 2 years ago