bcbi-edu / p_eickhoff_isoscoreLinks
☆34Updated last year
Alternatives and similar repositories for p_eickhoff_isoscore
Users that are interested in p_eickhoff_isoscore are comparing it to the libraries listed below
Sorting:
- ☆86Updated last year
- ☆31Updated 4 years ago
- templates and other documents regarding responsible NLP research☆70Updated last year
- ☆34Updated 2 years ago
- ☆57Updated 3 years ago
- Easy-to-use framework for evaluating cross-lingual consistency of factual knowledge (Supported LLaMA, BLOOM, mT5, RoBERTa, etc.) Paper he…☆25Updated 5 months ago
- ☆39Updated 4 years ago
- ☆43Updated 2 years ago
- Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics☆201Updated 3 years ago
- ☆97Updated 2 years ago
- Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively …☆126Updated 3 years ago
- ☆13Updated 2 years ago
- ☆321Updated 4 years ago
- Code and data accompanying our ACL 2020 paper, "Unsupervised Domain Clusters in Pretrained Language Models".☆58Updated 4 years ago
- Code for the ACL 2022 paper "Contextual Representation Learning beyond Masked Language Modeling"☆33Updated 2 years ago
- Measuring the Mixing of Contextual Information in the Transformer☆31Updated 2 years ago
- Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (h…☆84Updated 4 years ago
- Source code for ACL 2022 paper "Self-contrastive Decorrelation for Sentence Embeddings".☆26Updated 5 months ago
- The original Backpack Language Model implementation, a fork of FlashAttention☆69Updated 2 years ago
- Train Dense Passage Retriever (DPR) with a single GPU☆133Updated 4 years ago
- Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022☆99Updated last year
- This repository provides details and links to the ACL anthology corpus/collection including .bib, .pdf and grobid extractions of the pdfs☆182Updated last year
- Code for Editing Factual Knowledge in Language Models