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Found 7 papers, 4 papers with code
AI-generated text boundary detection with RoFT
Due to the rapid development of large language models, people increasingly often encounter texts that may start as written by a human but continue as machine-generated.
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.
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.
Betti numbers of attention graphs is all you really need
We apply methods of topological analysis to the attention graphs, calculated on the attention heads of the BERT model ( arXiv:1810. 04805v2 ).
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.
Category-Learning with Context-Augmented Autoencoder
Finding an interpretable non-redundant representation of real-world data is one of the key problems in Machine Learning.
