Codebase for testing whether hidden states of neural networks encode discrete structures.

Python implementation of TEISER also capable of using SHAPE structural probing data

Analysis pipeline for RNA structural probing mutational profiling data sequenced on Nanopore devices

Code base for paper "Finding Structural Knowledge in Multimodal-BERT". Framework for probing and code for creating Scene Trees.

Code and data for our CoNLL 2020 publication: "How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation"

RNA Structural Probing Data Predicting and Structural Motif Finding using Deep Learning

A module that can convert natural language sentence into binary tree implied sequence, based on: https://github.com/john-hewitt/structural-probes

Metadata for structural chemical probing experiments for RNAcentral

Repository of code applying the probing with noise method: an intrinsic, structural probe that identifies whether some (linguistic) information is encoded in the vector norm.

Code for the paper "Investigating semantic subspaces of Transformer sentence embeddings through linear structural probing"

A Streamlit app for structural probing of BERT, analyzing how knowledge is localized across layers using PyTorch, Transformers, and scikit-learn.

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Structural probing of the fleeting memory Transformer.

Nanopore RNA Structural Probe Identification and Detection

Probing visual structural compositionality in CLIP-like models

Search RASP datasets for lncRNAs with structural probing data

RANStein SelfAudit: structural self-audit operator for agents with memory (L2-L4), including dismounting detection and low-risk probes.

Method for structural probing signal calculation that eliminates read distribution bias and prevents reactivity underestimation.

AI abliteration forge and jailbreak testing framework. 6-stage pipeline for probing structural alignment in frontier LLMs.

Input text -> fixed weights LLMs -> extract layer's hidden states. Structural probe -> small mapping + predict syntactic distances / tree structure. Evaluate: compare prediction to gold parse.

BeamGuard monitors structural beams using ESP32 with ADXL345, piezo , DHT11 , and copper corrosion probe. Tracks bending angle, vibration frequency, impact, corrosion risk, and Structural Health Index (0-100). Z-score anomaly detection on-device. Isolation Forest, RUL prediction and Random Forest classifier in progress.

Deep Traffic Structural Prior (DTSP) is a self-supervised deep learning framework for cycle-by-cycle signal timing information(STI) at both fixed-time and adaptive signalized intersections using sparse probe vehicle data.

Evaluation frameworks and probe templates for detecting structural failure modes in LLM and multi-agent systems — including invariant violations, constraint drift, and global incoherence despite local correctness. Designed as a foundation for durable, programmatic evaluation tooling.

We investigate the extent to which popular recurrent and attention-based neural models trained with an auto-regressive language modeling objective can represent the hierarchical nature of language by probing linguistic and structural properties using diagnostic classifiers.

A deterministic descent operator that navigates the prime landscape using exactly one binary choice per step. Every prime reaches a terminal state in finite steps. Right-truncation is not a curiosity. It is a structural probe of prime stability. Run it and see where it lands.