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Found 6 papers, 4 papers with code
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices
In this paper, we propose a method for uncertainty estimation based on the topological properties of the attention mechanism and compare it with classical methods.
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts
Rapidly increasing quality of AI-generated content makes it difficult to distinguish between human and AI-generated texts, which may lead to undesirable consequences for society.
Learning Topology-Preserving Data Representations
The method aims to provide topological similarity between the data manifold and its latent representation via enforcing the similarity in topological features (clusters, loops, 2D voids, etc.)
Topological Data Analysis for Speech Processing
We apply topological data analysis (TDA) to speech classification problems and to the introspection of a pretrained speech model, HuBERT.
Acceptability Judgements via Examining the Topology of Attention Maps
The role of the attention mechanism in encoding linguistic knowledge has received special interest in NLP.
Ranked #1 on
Linguistic Acceptability
on ItaCoLA
Artificial Text Detection via Examining the Topology of Attention Maps
The impressive capabilities of recent generative models to create texts that are challenging to distinguish from the human-written ones can be misused for generating fake news, product reviews, and even abusive content.
