{"total":40,"rows":[{"id":"2303.11504","title":"Language Model Behavior: A Comprehensive Survey","created":"2023-03-20","cited_by_count":92,"area":null},{"id":"2305.13264","title":"Prompting is not a substitute for probability measurements in large language models","created":"2023-05-22","cited_by_count":44,"area":null},{"id":"2305.10588","title":"A Better Way to Do Masked Language Model Scoring","created":"2023-05-17","cited_by_count":27,"area":null},{"id":"2403.14859","title":"Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models","created":"2024-03-21","cited_by_count":24,"area":null},{"id":"2403.09207","title":"TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks","created":"2024-03-14","cited_by_count":14,"area":null},{"id":"2410.16139","title":"A Psycholinguistic Evaluation of Language Models' Sensitivity to Argument Roles","created":"2024-10-21","cited_by_count":14,"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":"2510.24963","title":"Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale","created":"2025-10-28","cited_by_count":13,"area":null},{"id":"2310.15004","title":"When Language Models Fall in Love: Animacy Processing in Transformer Language Models","created":"2023-10-23","cited_by_count":12,"area":null},{"id":"2502.19737","title":"XCOMPS: A Multilingual Benchmark of Conceptual Minimal Pairs","created":"2025-02-27","cited_by_count":12,"area":null},{"id":"2311.01386","title":"Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics","created":"2023-11-02","cited_by_count":11,"area":null},{"id":"2407.19998","title":"Do LLMs Really Adapt to Domains? An Ontology Learning Perspective","created":"2024-07-29","cited_by_count":11,"area":null},{"id":"2509.15114","title":"Large Language Model probabilities cannot distinguish between possible and impossible language","created":"2025-09-18","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":"2411.07533","title":"Large Language Models as Neurolinguistic Subjects: Discrepancy between Performance and Competence","created":"2024-11-12","cited_by_count":4,"area":null},{"id":"2510.25356","title":"Prompting from the bench: Large-scale pretraining is not sufficient to prepare LLMs for ordinary meaning analysis","created":"2025-10-29","cited_by_count":4,"area":null},{"id":"2505.00004","title":"LangVAE and LangSpace: Building and Probing for Language Model VAEs","created":"2025-03-29","cited_by_count":3,"area":null},{"id":"2505.09852","title":"Do Large Language Models Know Conflict? Investigating Parametric vs. Non-Parametric Knowledge of LLMs for Conflict Forecasting","created":"2025-05-14","cited_by_count":3,"area":null},{"id":"2506.01205","title":"Trick or Neat: Adversarial Ambiguity and Language Model Evaluation","created":"2025-06-01","cited_by_count":3,"area":null},{"id":"2507.12553","title":"Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility","created":"2025-07-16","cited_by_count":3,"area":null},{"id":"2303.02411","title":"The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges","created":"2023-03-04","cited_by_count":2,"area":null},{"id":"2406.03666","title":"What Makes Language Models Good-enough?","created":"2024-06-06","cited_by_count":2,"area":null},{"id":"2501.12651","title":"The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories","created":"2025-01-22","cited_by_count":2,"area":null},{"id":"2502.20469","title":"Shades of Zero: Distinguishing Impossibility from Inconceivability","created":"2025-02-27","cited_by_count":2,"area":null},{"id":"2506.06808","title":"Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events","created":"2025-06-07","cited_by_count":2,"area":null},{"id":"2302.08150","title":"Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Model","created":"2023-02-16","cited_by_count":1,"area":null},{"id":"2407.13419","title":"From Words to Worlds: Compositionality for Cognitive Architectures","created":"2024-07-18","cited_by_count":1,"area":null},{"id":"2504.02395","title":"The quasi-semantic competence of LLMs: a case study on the part-whole relation","created":"2025-04-03","cited_by_count":1,"area":null},{"id":"2505.21301","title":"How Humans and LLMs Organize Conceptual Knowledge: Exploring Subordinate Categories in Italian","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2510.01652","title":"Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention","created":"2025-10-02","cited_by_count":1,"area":null},{"id":"2603.18007","title":"Do Large Language Models Possess a Theory of Mind? A Comparative Evaluation Using the Strange Stories Paradigm","created":"2026-02-20","cited_by_count":1,"area":null},{"id":"2605.05197","title":"Implicit Representations of Grammaticality in Language Models","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2408.06332","title":"Animate, or Inanimate, That is the Question for Large Language Models","created":"2024-08-12","cited_by_count":0,"area":null},{"id":"2410.15173","title":"Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event Representation","created":"2024-10-19","cited_by_count":0,"area":null},{"id":"2504.16884","title":"Do Large Language Models know who did what to whom?","created":"2025-04-23","cited_by_count":0,"area":null},{"id":"2507.21828","title":"Modelling Adjectival Modification Effects on Semantic Plausibility","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2604.25423","title":"Do LLMs Capture Embodied Cognition and Cultural Variation? Cross-Linguistic Evidence from Demonstratives","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2607.20995","title":"Where Animacy Lives in Large Language Models: Tracing the Circuits of the Animacy Concept","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2609.35161","title":"Small transformers track Bayesian evidence for latent common causes via a context-invariant mechanism","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.16952","title":"Lexical Redefinition Reveals Context-Sensitive Instruction Following","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}