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4 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

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  1. Does AI-Generated Scientific Text Follow Human Argumentation Patterns? A CARS-Based Comparison of Research Article Introductions

    Oct 1, 2026Abdelrahman Sadallah, Narjes Sheikh Asadi, Lonneke van der PlasHuman-Written TextRhetoric

    Università della Svizzera italiana (USI)

  2. A Shared Taste for Model-Written Text: The Generator-by-Selector Matrices of "AI-AI Bias" Show No Detectable Own-Model Premium

    Sep 30, 2026Dmitrij ŻatuchinLarge Language Model BiasHuman-Written Text

    Department of Information Technologies, Estonian Entrepreneurship University of Applied Sciences (EUAS), Tallinn, Estonia. · Rankfor.AI, Wroc law, Poland; Tallinn, Estonia.

  3. How Humans and LLMs Read Gender into "Gender-Neutral" Physical Descriptions

    Sep 14, 2026Yingjia Wan, Lin Lin, Elisa KreissGenderNeutrality

    Department of Communication University of California, Los Angeles (UCLA) · Department of Computer Science University of California, Los Angeles (UCLA)

  4. What is the Difference Between Me and You? Benchmarking the Quality Gap Between Human-Written and AI-Generated Code

    Sep 14, 2026Cristina Improta, Pietro Liguori, Domenico CotroneoCode QualityCode Generation

    University of Naples Federico II, Naples, Italy · University of North Carolina at Charlotte, Charlotte, NC, USA

  5. Value Over Language Model: Detecting Original Contribution in Writing

    Sep 1, 2026Vibhhu Sharma, Thorsten Joachims, Sarah DeanHuman-Written TextLarge Language Model Generation

    Cornell University

  6. Same Request, Different Boundary: Evaluating Cybersecurity Assistance across Conversational Contexts

    Sep 1, 2026Rui Yang, Yang Hong, Yichao Xu +3Large Language Model SafetyCybersecurity

    Johns Hopkins University

  7. AI Writers Have a Consistent Stylometric Footprint, but AI Editors Do Not

    Aug 28, 2026Zhengyang Shan, Yukyung Lee, Sophie HaoHuman-Written TextStylometric

    Boston University

  8. Templated or fully synthetic? Prompt construction as a confound in measuring LLM political stance beyond writing assistance

    Aug 11, 2026Ilias ChalkidisPolitical DiscourseHuman-Written Text

    The National Center for AI in Society (CAISA) University of Copenhagen Denmark

  9. Can Humans Dream of Electric Sheep? Human-Written Samples for Fine-Grained Vision-and-Language Hallucination Benchmarking

    Aug 2, 2026Timothee Mickus, Claudio Savelli, Eduardo Calò +10Large Language Model HallucinationHallucination Rate

    University of Helsinki

  10. Mitigating Fabrication in Multi-Stage LLM Pipelines for Hiring: An Empirical Evaluation of Prompt Guardrails and Human-in-the-Loop Checkpoints

    Jul 22, 2026Hiroko TakanoJobsStreaming Guardrails

    Lemmanode LLC

  11. Literary Non-Style in LLM-Generated Text

    Jul 19, 2026Cory MassaroHuman-Written TextLiterature

  12. How Ethos and Pathos Appeals Resonate in Reader Interpretations of Social Media Messages

    Jul 1, 2026Ewelina Gajewska, Katarzyna Budzynska, Jaroslaw Chudziak +1RhetoricAudience

    Warsaw University of Technology, Poland · Department of Computer Science, KU Leuven, Belgium · Department of Electronics and Information Systems, Ghent University, Belgium

  13. An Empirical Analysis of Factual Errors in Human-Written Text and Its Application to Factual Error Detection

    Jun 26, 2026Kazuma Iwamoto, Kazumasa Omura, Shotaro IshiharaHuman-Written TextLarge Language Models Fail

    Nikkei Inc.

  14. CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories

    Jun 21, 2026Anneliese Brei, Abhisheik Sharma, Nicholas Sanaie +2Narrative GenerationHuman-Written Text

    UNC Chapel Hill · Georgia Institute of Technology · University of Michigan

  15. Market Design for AI: Beyond the Copyright Binary

    Jun 10, 2026Yan Dai, Maryam Farboodi, Negin Golrezaei +1IncentivesHuman-Written Text

    MIT Operations Research Center. · MIT Sloan School of Management, NBER and CEPR. · NBER and CEPR. +2

  16. The Dynamics of Human and AI-Generated Language: How Semantics Fluctuates across Different Timescales

    Jun 9, 2026Han-Jen Chang, Yasir Çatal, Angelika Wolman +5Speech Language ModelsHuman-Written Text

  17. "I understand your perspective": LLM Persuasion and Sycophancy through the Lens of Communicative Action Theory

    Jun 6, 2026Esra Dönmez, Agnieszka FalenskaPersuasionLarge Language Model Decisions

    Institute for Natural Language Processing, University of Stuttgart · Interchange Forum for Reflecting on Intelligent Systems, University of Stuttgart

  18. Repeated Sequences Reveal Gaps between Large Language Models and Natural Language

    May 24, 2026Kumiko Tanaka-IshiiFluencyNatural Language

    Waseda University, Japan.

  19. Towards Human-Level Book-Writing Capability

    May 16, 2026Jan Zierstek, Matteo Batelic, Maya Medjad +1Ai-Assisted WritingHuman-Written Text

    Pageshift Entertainment

  20. AI-Mediated Communication Can Steer Collective Opinion

    May 15, 2026Stratis Tsirtsis, Kai Rawal, Chris Russell +2Large Language Model BiasSocial Influence

    1Hasso Plattner Institute · 2Oxford Internet Institute, University of Oxford · 3Weizenbaum Institute

  21. The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events

    May 12, 2026Gunjan, Sidahmed Benabderrahmane, Talal RahwanPolitical DiscourseDiscourse

    New York University (NYUAD), Division of Science, Computer Science Department

  22. Log-Likelihood, Simpson's Paradox, and the Detection of Machine-Generated Text

    May 7, 2026Tom Kempton, Viktor Drobnyi, Maeve Madigan +1Machine-Generated Text DetectionHuman-Written Text

    Department of Mathematics University of Manchester · Risk and Security AI Lab Visa Inc.

  23. More Aligned, Less Diverse? Analyzing the Grammar and Lexicon of Two Generations of LLMs

    May 7, 2026Adrián Gude, Roi Santos-Ríos, Francis Bond +3Human-Written TextSyntactic Structure

    Universidade da Coruña, CITIC · Palacký University, Olomouc · Independent Researcher

  24. Lightweight Stylistic Consistency Profiling: Robust Detection of LLM-Generated Textual Content for Multimedia Moderation

    May 7, 2026Siyuan Li, Aodu Wulianghai, Xi Lin +6Content ModerationHuman-Written Text

    School of Computer Science, Shanghai Jiao Tong University, Shanghai, China · Institute of Automation, Chinese Academy of Sciences, Beijing, China · College of Computer Science and Technology, Zhejiang University, Hangzhou, China

  25. On the Role of Artificial Intelligence in Human-Machine Symbiosis

    May 1, 2026Ching-Chun Chang, Yuchen Guo, Hanrui Wang +2Human-Ai CollaborationArtificial Intelligence Systems

    Information and Society Research Division, National Institute of Informatics, Tokyo, Japan · Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan

  26. DeGenTWeb: A First Look at LLM-dominant Websites

    Apr 30, 2026Sichang Steven He, Calvin Ardi, Ramesh Govindan +1Human-Written Text

    University of Southern California · Una￿liated

  27. Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior

    Apr 30, 2026Ali Aghazadeh Ardebili, Massimo StellaLarge Language Model BiasArtificial Intelligence Personas

    CogNosco Lab, University of Trento, Department of Psychology and Cognitive Science, Trento, Italy

  28. Differentially-Private Text Rewriting reshapes Linguistic Style

    Apr 29, 2026Stefan ArnoldStylistic FidelityPrivacy

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

  29. Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations

    Apr 23, 2026Nalin Poungpeth, Nicholas Clark, Tanu MitraPersuasionHuman-Written Text

    Department of Cognitive Science Northwestern University Evanston, IL 60201, USA · Information School University of Washington Seattle, WA 98195 USA

  30. HoWToBench: Holistic Evaluation for LLM's Capability in Human-level Writing using Tree of Writing

    Apr 21, 2026Andrew Zhuoer Feng, Cunxiang Wang, Yu Luo +7Human-Written TextRelevance

    Department of Computer Science and Technology, Tsinghua University

  31. LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies

    Apr 18, 2026Alexis Carrillo, Salvatore Citraro, Ali Aghazhadeh Ardebili +5PersuasionHuman-Ai Interaction

    CogNosco Lab, Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy · Institute of Information Science and Technologies “Alessandro Faedo", National Research Council, Italy · Thomas Lord Department of Computer Science, University of Southern California, Los Angeles, California, USA +2

  32. Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation

    Apr 17, 2026Nicolò Pagan, Christopher Barrie, Chris Andrew Bail +1Large Language Model BiasHuman-Written Text

    University of Zurich, Department of Informatics, Zurich, CH · New York University, Department of Sociology, New York, USA · University of Oxford, Department of Sociology, Oxford, UK +2

  33. Which Demographics do LLMs Default to During Annotation?

    Oct 11, 2024Johannes Schäfer, Aidan Combs, Christopher Bagdon +9Large Language Model AnnotationsLarge Language Model Bias

    Fundamentals of Natural Language Processing, University of Bamberg, Germany

  34. Measuring Human Contribution in AI-Assisted Content Generation

    Aug 27, 2024Yueqi Xie, Tao Qi, Jingwei Yi +7Generative Artificial IntelligenceHuman-Ai Collaboration

    Princeton University · Tsinghua University · University of Science and Technology of China +4

  35. Limits of LLM Text Detectors in Education

    Date pendingLukas Gehring, Benjamin Paa\ssenMachine-Generated Text DetectionHuman-Written Text

    Faculty of Technology, Bielefeld University