avidml / evaluating-LLMs
Creating the tools and data sets necessary to evaluate vulnerabilities in LLMs.
β21Updated last year
Related projects: β
- π€ Disaggregators: Curated data labelers for in-depth analysis.β66Updated last year
- A Python library aimed at dissecting and augmenting NER training data.β56Updated last year
- π« SpaCy wrapper for ConceptNet π«β88Updated last year
- [EMNLP 2023 Demo] fabricator - annotating and generating datasets with large language models.β99Updated 4 months ago
- β41Updated last year
- β13Updated last year
- Alternate Implementation for Zero Shot Text Classification: Instead of reframing NLI/XNLI, this reframes the text backbone of CLIP modelsβ¦β37Updated 2 years ago
- Explainable Zero-Shot Topic Extractionβ62Updated last month
- Dataset from the paper "Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering" (COLING 2022)β102Updated last year
- Using short models to classify long textsβ20Updated last year
- A library to synthesize text datasets using Large Language Models (LLM)β151Updated last year
- Tools for managing datasets for governance and training.β77Updated last month
- Source code and data for Like a Good Nearest Neighborβ28Updated 7 months ago
- β28Updated 7 months ago
- Repo for training MLMs, CLMs, or T5-type models on the OLM pretraining data, but it should work with any hugging face text dataset.β91Updated last year
- A monolingual and cross-lingual meta-embedding generation and evaluation frameworkβ79Updated 2 years ago
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answersβ118Updated 6 months ago
- Generalist and Lightweight Model for Text Classificationβ29Updated 2 weeks ago
- Detecting Bias and ensuring Fairness in AI solutionsβ77Updated last year
- A spaCy custom component that extracts and normalizes temporal expressionsβ53Updated last year
- SPRINT Toolkit helps you evaluate diverse neural sparse models easily using a single click on any IR dataset.β40Updated last year
- π οΈ Tools for Transformers compression using PyTorch Lightning β‘β77Updated 6 months ago
- Our open source implementation of MiniLMv2 (https://aclanthology.org/2021.findings-acl.188)β59Updated last year
- Datasets collection and preprocessings framework for NLP extreme multitask learningβ143Updated 2 months ago
- Open source library for few shot NLPβ78Updated last year
- Code for Relevance-guided Supervision for OpenQA with ColBERT (TACL'21)β40Updated 3 years ago
- π§ͺ Experimental features for Haystackβ14Updated this week
- β82Updated 3 weeks ago
- Minimum Bayes Risk Decoding for Hugging Face Transformersβ51Updated 3 months ago
- The codebase for our ACL2023 paper: Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learniβ¦β26Updated last year
- We believe the ability of an LLM to attribute the text that it generates is likely to be crucial for both system developers and users in β¦β42Updated last year