{"total":58,"rows":[{"id":"2301.07597","title":"How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection","created":"2023-01-18","cited_by_count":481,"area":null},{"id":"2303.11504","title":"Language Model Behavior: A Comprehensive Survey","created":"2023-03-20","cited_by_count":92,"area":null},{"id":"2305.14938","title":"Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark","created":"2023-05-24","cited_by_count":63,"area":null},{"id":"2401.07078","title":"PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities","created":"2024-01-13","cited_by_count":59,"area":null},{"id":"2501.17047","title":"How Linguistics Learned to Stop Worrying and Love the Language Models","created":"2025-01-28","cited_by_count":51,"area":null},{"id":"2310.19619","title":"Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models","created":"2023-10-30","cited_by_count":32,"area":null},{"id":"2502.12378","title":"Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges","created":"2025-02-17","cited_by_count":31,"area":null},{"id":"2404.16367","title":"Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers","created":"2024-04-25","cited_by_count":24,"area":null},{"id":"2502.21098","title":"Re-evaluating Theory of Mind evaluation in large language models","created":"2025-02-28","cited_by_count":23,"area":null},{"id":"2303.13988","title":"Machine Psychology","created":"2023-03-24","cited_by_count":22,"area":null},{"id":"2404.01651","title":"NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps","created":"2024-04-02","cited_by_count":20,"area":null},{"id":"2404.19509","title":"Do Large Language Models Understand Conversational Implicature -- A case study with a chinese sitcom","created":"2024-04-30","cited_by_count":15,"area":null},{"id":"2403.00998","title":"Predictions from language models for multiple-choice tasks are not robust under variation of scoring methods","created":"2024-03-01","cited_by_count":13,"area":null},{"id":"2502.14359","title":"Triangulating LLM Progress through Benchmarks, Games, and Cognitive Tests","created":"2025-02-20","cited_by_count":12,"area":null},{"id":"2510.04764","title":"Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models","created":"2025-10-06","cited_by_count":11,"area":null},{"id":"2306.05240","title":"Dealing with Semantic Underspecification in Multimodal NLP","created":"2023-06-08","cited_by_count":9,"area":null},{"id":"2408.05102","title":"How Well Do LLMs Identify Cultural Unity in Diversity?","created":"2024-08-09","cited_by_count":8,"area":null},{"id":"2301.05149","title":"Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models","created":"2022-12-21","cited_by_count":7,"area":null},{"id":"2411.01562","title":"Are LLMs good pragmatic speakers?","created":"2024-11-03","cited_by_count":7,"area":null},{"id":"2310.10262","title":"Enhancing Interpretability using Human Similarity Judgements to Prune Word Embeddings","created":"2023-10-16","cited_by_count":6,"area":null},{"id":"2310.14422","title":"Large Language Models are biased to overestimate profoundness","created":"2023-10-22","cited_by_count":6,"area":null},{"id":"2605.07632","title":"Post-training makes large language models less human-like","created":"2026-05-08","cited_by_count":5,"area":null},{"id":"2303.04229","title":"Understanding Natural Language Understanding Systems. A Critical Analysis","created":"2023-03-01","cited_by_count":4,"area":null},{"id":"2311.09106","title":"\"We Demand Justice!\": Towards Social Context Grounding of Political Texts","created":"2023-11-15","cited_by_count":4,"area":null},{"id":"2602.08275","title":"Linguistics and Human Brain: A Perspective of Computational Neuroscience","created":"2026-02-09","cited_by_count":4,"area":null},{"id":"2506.06775","title":"They want to pretend not to understand: The Limits of Current LLMs in Interpreting Implicit Content of Political Discourse","created":"2025-06-07","cited_by_count":3,"area":null},{"id":"2604.08525","title":"Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest","created":"2026-04-09","cited_by_count":3,"area":null},{"id":"2404.02983","title":"Towards a Fully Interpretable and More Scalable RSA Model for Metaphor Understanding","created":"2024-04-03","cited_by_count":2,"area":null},{"id":"2503.17579","title":"Leveraging Human Production-Interpretation Asymmetries to Test LLM Cognitive Plausibility","created":"2025-03-21","cited_by_count":2,"area":null},{"id":"2509.15560","title":"How important is language for human-like intelligence?","created":"2025-09-19","cited_by_count":2,"area":null},{"id":"2408.11189","title":"Emotional RAG LLMs: Reading Comprehension for the Open Internet","created":"2024-08-20","cited_by_count":1,"area":null},{"id":"2507.00783","title":"Generative AI and the future of scientometrics: current topics and future questions","created":"2025-07-01","cited_by_count":1,"area":null},{"id":"2512.08646","title":"QSTN: A Modular Framework for Robust Questionnaire Inference with Large Language Models","created":"2025-12-09","cited_by_count":1,"area":null},{"id":"2601.09041","title":"Representational Similarity Alignment of Figurative Language in Humans and Large Language Models","created":"2026-01-14","cited_by_count":1,"area":null},{"id":"2604.15873","title":"How Hypocritical Is Your LLM judge? Listener-Speaker Asymmetries in the Pragmatic Competence of Large Language Models","created":"2026-04-17","cited_by_count":1,"area":null},{"id":"2606.01845","title":"Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2609.00576","title":"Consistency Without Alignment: Item-Sensitive Language Models Indistinguishable From Random","created":"2026-09-01","cited_by_count":1,"area":null},{"id":"2403.00126","title":"FAC$^2$E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition","created":"2024-02-29","cited_by_count":0,"area":null},{"id":"2405.09293","title":"Do language models capture implied discourse meanings? An investigation with exhaustivity implicatures of Korean morphology","created":"2024-05-15","cited_by_count":0,"area":null},{"id":"2503.00992","title":"Evidence of conceptual mastery in the application of rules by Large Language Models","created":"2025-03-02","cited_by_count":0,"area":null},{"id":"2503.01269","title":"ChatGPT for President! Presupposed content in politicians versus GPT-generated texts","created":"2025-03-03","cited_by_count":0,"area":null},{"id":"2506.00065","title":"Using Perspectival Words Is Harder Than Vocabulary Words for Humans and Even More So for Multimodal Language Models","created":"2025-05-29","cited_by_count":0,"area":null},{"id":"2506.09301","title":"$(RSA)^2$: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding","created":"2025-06-10","cited_by_count":0,"area":null},{"id":"2512.09394","title":"Language models as tools for investigating the distinction between possible and impossible natural languages","created":"2025-12-10","cited_by_count":0,"area":null},{"id":"2512.12447","title":"Large language models have learned to use language","created":"2025-12-13","cited_by_count":0,"area":null},{"id":"2512.13441","title":"Large language models are not about natural language","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2512.14506","title":"Linguists should learn to love speech-based deep learning models","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2601.10421","title":"Are Language Models Models?","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2603.19997","title":"When Contextual Inference Fails: Cancelability in Interactive Instruction Following","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2604.02557","title":"Pragmatics Meets Culture: Culturally-adapted Artwork Description Generation and Evaluation","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2604.09466","title":"Across the Levels of Analysis: Explaining Predictive Processing in Humans Requires More Than Machine-Estimated Probabilities","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2604.09501","title":"You Can't Fight in Here! This is BBS!","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2604.17718","title":"Do LLMs Use Cultural Knowledge Without Being Told? A Multilingual Evaluation of Implicit Pragmatic Adaptation","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2605.10061","title":"Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.24267","title":"DRInQ: Evaluating Conversational Implicature with Controlled Context Variation","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2606.17688","title":"LLMs Infer Cultural Context but Fail to Apply It When Responding","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2608.28560","title":"A Formal Limitation on Learning Human Language From Textual Corpora","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2610.13794","title":"Not Just an Evaluation: A Case Study of Discourse Particle Sensitivity in Language Models","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}