Implicit Association Test

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3 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. PTC-Bias: Phoneme-Level Temporal Competition for Bias Retrieval and Post-Decoding Correction in Speech LLMs

    Sep 23, 2026Zhiqi Ai, Han Cheng, Shiyi Mu +2Grapheme-To-PhonemeImplicit Association Test

    Shanghai University, Shanghai, China · Xi’an Jiaotong-Liverpool University, Suzhou, China

  2. Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection

    Sep 15, 2026Lijie Zheng, Ji He, Alessandro Brighente +2Intrusion DetectionGraph Representation Learning

    School of Computer Science and Technology, Xidian University, Xi’an, China · Department of Mathematics, University of Padova, Padova, Italy · School of Science and Technology, Örebro University, Örebro, Sweden

  3. FreqBLiMP: Frequency-Controlled Minimal Pairs Reveal Robustness and Fragility of LLMs Under Lexical Rarity

    Sep 7, 2026Tyrone White, Yuki AraseImplicit Association TestLinguistics

    School of Computing, Institute of Science Tokyo Tokyo, Japan

  4. Probing Factual Knowledge Transfer with Training Data Interventions

    Sep 1, 2026Romina Oji, Marc Braun, Marcel Bollmann +2Multilingual Language ModelsLarge Language Model Pretraining

    Department of Computer and Information Science Linköping University

  5. The Privacy-Hallucination Tradeoff in Differentially Private Language Models

    Aug 31, 2026Krithika Ramesh, Krishna Pillutla, Danish Pruthi +1Large Language Model HallucinationPrivacy-Utility Trade-Offs

    Johns Hopkins University · Indian Institute of Technology, Madras · Indian Institute of Science

  6. The em-dash em-beds in Congress: A population-level rise in em-dash frequency in U.S. congressional press releases at the dawn of the large-language-model era, 2021-2025

    Aug 6, 2026Przemysław CzumaParliamentary DebatesImplicit Association Test

    Polish Association for Artificial Intelligence in Medicine · Polish Association for Artificial Intelligence in Medicine (inteligencja.org.pl)

  7. From Minds to Models: The Intersection of Psychology and LLM Behaviours

    Jul 30, 2026Oliver Guidetti, Reza RyanLarge Language Model BiasPsychology

    School of Psychology, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW 2522, Australia. · School of Electrical Engineering, Computing and Mathematical Sciences, Faculty of Science and Engineering, Curtin University, Bentley, WA 6102, Australia.

  8. Usage frequency and application variety of research methods in library and information science: Continuous investigation from 1991 to 2021

    Jun 30, 2026Chengzhi Zhang, Liang Tian, Heting ChuOpenalex MetadataSystematic Study

    Department of Information Management, Nanjing University of Science and Technology, Nanjing, Jiangsu, China · Palmer School of Library and Information Science, Long Island University, NY 11548, USA

  9. A Two-Stage Statistical Framework for Evaluating Associative Interference in Large Language Models

    Jun 12, 2026Achraf Cohen, Andrew KincaidLarge Language Model BiasInter-Annotator Agreement

    Department of Mathematics and Statistics University of West Florida

  10. CS-YODAS: A Mined Dataset of In-the-Wild Code-Switched Speech

    Jun 9, 2026Brian Yan, Qingzheng Wang, Matthew Wiesner +9Code-SwitchingMultilingual Automatic Speech Recognition

    Carnegie Mellon University · Johns Hopkins University · University of Texas at Austin +4

  11. Medication-Aware Financial Exploitation Detection for Alzheimer's Patients Using Edge-Aware Interaction Risk Modeling

    May 30, 2026Farzana Akter, Lisan Al Amin, Rakib Hossain +2AlzheimerMedication Leaflet

    Cognitive Links LLC, Maryland, USA · University of Maryland, College Park, USA

  12. X-Token: Projection-Guided Cross-Tokenizer Knowledge Distillation

    May 20, 2026Sharath Turuvekere Sreenivas, Adithyakrishna Venkatesh Hanasoge, Mingyu Yang +4Teacher-Student DistillationSingle-Token Output Distributions

  13. Predictable Confabulations: Factual Recall by LLMs Scales with Model Size and Topic Frequency

    May 18, 2026Matthew L. Smith, Jonathan P. Shock, Samuel T. Segun +2Large Language Model ReliabilityFactual Recall

    International Development Research Centre Canada · University of Cape Town South Africa · Global Center on AI Governance Canada +2

  14. Accurate and Efficient Statistical Testing for Word Semantic Breadth

    May 8, 2026Yo EharaTwo-Sample TestingContextual Embeddings

    Tokyo Gakugei University

  15. The Frequency Confound in Language-Model Surprisal and Metaphor Novelty

    May 7, 2026Omar Momen, Sina ZarrießSurprisalImplicit Association Test

    CRC 1646 – Linguistic Creativity in Communication · Bielefeld University, Germany

  16. The Impact of Vocabulary Overlaps on Knowledge Transfer in Multilingual Machine Translation

    May 5, 2026Oona Itkonen, Jörg TiedemannNeural Machine TranslationCross-Lingual Transfer

    University of Helsinki

  17. Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface Forms

    Apr 23, 2026Yuto Nishida, Naoki Shikoda, Yosuke Kishinami +4MemorizationImplicit Association Test

    Nara Institute of Science and Technology · Future Corporation

  18. Adam's Law: Textual Frequency Law on Large Language Models

    Apr 2, 2026Hongyuan Adam Lu, Z. L., Victor Wei +5Implicit Association TestCognitive Science

    FaceMind Corporation · The Chinese University of Hong Kong