[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

Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces

A simple openGL 2D plotter for quickly updated data.

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".

A library & tool for probing, parsing, and validating security.txt files as specified in RFC 9116 🚀📚

[NAACL 2022 Findings]Specializing Pre-trained Language Models for Better Relational Reasoning via Network Pruning

Tools, scripts and tips useful during OSINT investigations and reconnaissance.

Comparison of Hashing Algorithms - Double Hashing, Robin Hood Hashing Cuckoo Hashing with Java's inbuilt HashMap/ HastSet over million of add(), contains() and remove() operations.

Discourse Probing of Pretrained Language Models. In Proceedings of NAACL 2021.

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".

Memory efficient convolution networks

A framework for ASR probing using MDL approach

Curriculum is a new format of NLI benchmark for evaluation of broad-coverage linguistic phenomena. This linguistic-phenomena-driven benchmark can serve as an effective tool for diagnosing model behavior and verifying model learning quality.

Probing Bert for part of speech (POS) and named entity recognition (NER) to alleviate the opacity of learned representations.

Code and data for the ACL 2022 paper "Probing as Quantifying Inductive Bias".