Binary text classification
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Benchmarks
Most implemented
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
DACCORD : un jeu de données pour la Détection Automatique d'énonCés COntRaDictoires en français
Ghostbuster: Detecting Text Ghostwritten by Large Language Models
MAGE: Machine-generated Text Detection in the Wild
Learning Representations for Soft Skill Matching
Papers
Reliable Decision Support with LLMs: A Framework for Evaluating Consistency in Binary Text Classification Applications
This study introduces a framework for evaluating consistency in large language model (LLM) binary text classification, addressing the lack of established reliability assessment methods. Adapting psychometric principles, …
ArticlesBinary text classificationLarge Language ModelSentiment Analysis+3GigaCheck: Detecting LLM-generated Content
With the increasing quality and spread of LLM-based assistants, the amount of LLM-generated content is growing rapidly. In many cases and tasks, such texts are already indistinguishable from those written by humans, and …
Binary text classificationBoundary DetectionLLM-generated Text DetectionText Classification+1Calibrated Large Language Models for Binary Question Answering
Quantifying the uncertainty of predictions made by large language models (LLMs) in binary text classification tasks remains a challenge. Calibration, in the context of LLMs, refers to the alignment between the model's pr…
Binary text classificationQuestion Answeringtext-classificationText ClassificationHoaxpedia: A Unified Wikipedia Hoax Articles Dataset
Hoaxes are a recognised form of disinformation created deliberately, with potential serious implications in the credibility of reference knowledge resources such as Wikipedia. What makes detecting Wikipedia hoaxes hard i…
ArticlesBinary ClassificationBinary text classificationtext-classification+1LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
With the rapid development and widespread application of Large Language Models (LLMs), the use of Machine-Generated Text (MGT) has become increasingly common, bringing with it potential risks, especially in terms of qual…
Binary text classificationIdentification of the Relevance of Comments in Codes Using Bag of Words and Transformer Based Models
The Forum for Information Retrieval (FIRE) started a shared task this year for classification of comments of different code segments. This is binary text classification task where the objective is to identify whether com…
Binary text classificationFeature EngineeringInformation Retrievaltext-classification+1