{"total":13,"rows":[{"id":"2303.16421","title":"ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models","created":"2023-03-29","cited_by_count":63,"area":null},{"id":"2410.13648","title":"SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs","created":"2024-10-17","cited_by_count":57,"area":null},{"id":"2401.01862","title":"A Vision Check-up for Language Models","created":"2024-01-03","cited_by_count":36,"area":null},{"id":"2305.14250","title":"Language Models with Rationality","created":"2023-05-23","cited_by_count":15,"area":null},{"id":"2410.01079","title":"Concept Space Alignment in Multilingual LLMs","created":"2024-10-01","cited_by_count":13,"area":null},{"id":"2310.15372","title":"EpiK-Eval: Evaluation for Language Models as Epistemic Models","created":"2023-10-23","cited_by_count":6,"area":null},{"id":"2311.01866","title":"Towards Concept-Aware Large Language Models","created":"2023-11-03","cited_by_count":6,"area":null},{"id":"2402.13584","title":"WinoViz: Probing Visual Properties of Objects Under Different States","created":"2024-02-21","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":"2601.03570","title":"How Do Large Language Models Learn Concepts During Continual Pre-Training?","created":"2026-01-07","cited_by_count":1,"area":null},{"id":"2406.05315","title":"Aligned at the Start: Conceptual Groupings in LLM Embeddings","created":"2024-06-08","cited_by_count":0,"area":null},{"id":"2410.12959","title":"Large Language Models as a Tool for Mining Object Knowledge","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2502.16717","title":"Beyond Pattern Recognition: Probing Mental Representations of LMs","created":"2025-02-23","cited_by_count":0,"area":null}],"next_cursor":null}