[NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240
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Updated
Oct 7, 2022 - Python
[NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240
Subprober is a powerful and efficient subdomain scanning tool written in Python. With the ability to handle large lists of subdomains. The tool offers concurrent scanning, allowing users to define their preferred concurrency level for faster results. Whether you are on Linux, Windows, or macos
Network probing tool crafted for datacenters (but not only)
Framework for probing tasks
The official code and dataset for EMNLP 2022 paper "COPEN: Probing Conceptual Knowledge in Pre-trained Language Models".
[NAACL 2022 Findings]Specializing Pre-trained Language Models for Better Relational Reasoning via Network Pruning
Memory efficient convolution networks
Official repository for the paper: "Probing LLMs for Joint Encoding of Linguistic Categories." Findings of EMNLP 2023.
Probing for Predicate Argument Structures in Pretrained Language Models (ACL 2022).
Code and data for the EMNLP 2020 paper "Intrinsic Probing through Dimension Selection".
Probing Bert for part of speech (POS) and named entity recognition (NER) to alleviate the opacity of learned representations.
Probe and cluster antibody paratopes and clonotypes
This repo contains a challenging dataset for sentiment analysis, as well as a python script to calculate per class results presented in at BlackboxNLP 2019
Repository with code for interpretability analyses of a recurrent neural network predicting German plural nouns.
The codebase for "DLAMA: A Framework for Curating Culturally Diverse Facts for Probing the Knowledge of Pretrained Language Models"
Causal Probing of a Bi-Encoder for Retrieval
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