Binary text classification

Benchmarks archive 2025-07-28

7 leaderboard tables shown for this task, 7 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

10 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (20 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
  27 Sep 2021 3 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  Recent progress in generative language models has enabled machines to generate astonishingly realistic texts.
• LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
  11 Jan 2024 2 repositories listed Syntology ran 6 of 16 samples · 10 unverified · 16 pointer-only (licence)
  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…
• DACCORD : un jeu de données pour la Détection Automatique d'énonCés COntRaDictoires en français
  8 Jun 2023 2 repositories listed
  In this article, we present DACCORD, a new dataset dedicated to the task of automatically detecting contradictions between sentences in French.
• Ghostbuster: Detecting Text Ghostwritten by Large Language Models
  24 May 2023 2 repositories listed
  In conjunction with our model, we release three new datasets of human- and AI-generated text as detection benchmarks in the domains of student essays, creative writing, and news articles.
• MAGE: Machine-generated Text Detection in the Wild
  22 May 2023 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  In practical scenarios, however, the detector faces texts from various domains or LLMs without knowing their sources.
• Learning Representations for Soft Skill Matching
  20 Jul 2018 2 repositories listed
  The disambiguation is formulated as a binary text classification problem where the prediction is made for the potential soft skill based on the context where it occurs.
• Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
  1 Dec 2014 2 repositories listed
  Using online EP and the central limit theorem we find an analytical approximation to the Bayes update of this posterior, as well as the resulting Bayes estimates of the weights and outputs.
• Hoaxpedia: A Unified Wikipedia Hoax Articles Dataset
  3 May 2024 1 repository listed
  Hoaxes are a recognised form of disinformation created deliberately, with potential serious implications in the credibility of reference knowledge resources such as Wikipedia.
• Identification of the Relevance of Comments in Codes Using Bag of Words and Transformer Based Models
  11 Aug 2023 1 repository listed
  The performance of the classical bag of words model and transformer-based models were explored to identify significant features from the given training corpus.
• Active Learning for BERT: An Empirical Study
  1 Nov 2020 1 repository listed
  Here, we present a large-scale empirical study on active learning techniques for BERT-based classification, addressing a diverse set of AL strategies and datasets.
• TweepFake: about Detecting Deepfake Tweets
  31 Jul 2020 1 repository listed
  To prevent this, it is crucial to develop deepfake social media messages detection systems.
• Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification
  12 Sep 2019 1 repository listed
  Shallow machine learning strategies showed lower overall micro F1 scores, but still higher than deep learning strategies and the baseline.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.