{"total":26,"rows":[{"id":"2103.11790","title":"Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do","created":"2021-03-08","cited_by_count":178,"area":null},{"id":"2210.03588","title":"Understanding Transformer Memorization Recall Through Idioms","created":"2022-10-07","cited_by_count":62,"area":null},{"id":"2109.00087","title":"It's not Rocket Science : Interpreting Figurative Language in Narratives","created":"2021-08-31","cited_by_count":39,"area":null},{"id":"2204.10050","title":"SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding","created":"2022-04-21","cited_by_count":36,"area":null},{"id":"2205.15301","title":"Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation","created":"2022-05-30","cited_by_count":28,"area":null},{"id":"2109.04413","title":"AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models","created":"2021-09-09","cited_by_count":27,"area":null},{"id":"2303.15445","title":"IRFL: Image Recognition of Figurative Language","created":"2023-03-27","cited_by_count":23,"area":null},{"id":"2404.04332","title":"Scope Ambiguities in Large Language Models","created":"2024-04-05","cited_by_count":11,"area":null},{"id":"2401.15393","title":"Semantics of Multiword Expressions in Transformer-Based Models: A Survey","created":"2024-01-27","cited_by_count":9,"area":null},{"id":"2410.20221","title":"Generative linguistics contribution to artificial intelligence: Where this contribution lies?","created":"2024-10-26","cited_by_count":8,"area":null},{"id":"2411.19858","title":"What fifty-one years of Linguistics and Artificial Intelligence research tell us about their correlation: A scientometric analysis","created":"2024-11-29","cited_by_count":8,"area":null},{"id":"2302.07232","title":"A Psycholinguistic Analysis of BERT's Representations of Compounds","created":"2023-02-14","cited_by_count":7,"area":null},{"id":"2205.11306","title":"Sample Efficient Approaches for Idiomaticity Detection","created":"2022-05-23","cited_by_count":3,"area":null},{"id":"2304.14333","title":"Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space","created":"2023-04-27","cited_by_count":3,"area":null},{"id":"2205.11456","title":"Multilingual Extraction and Categorization of Lexical Collocations with Graph-aware Transformers","created":"2022-05-23","cited_by_count":2,"area":null},{"id":"2502.06086","title":"Is a Peeled Apple Still Red? Evaluating LLMs' Ability for Conceptual Combination with Property Type","created":"2025-02-10","cited_by_count":2,"area":null},{"id":"2205.14084","title":"UAlberta at SemEval 2022 Task 2: Leveraging Glosses and Translations for Multilingual Idiomaticity Detection","created":"2022-05-27","cited_by_count":1,"area":null},{"id":"2301.04788","title":"Language Cognition and Language Computation -- Human and Machine Language Understanding","created":"2023-01-12","cited_by_count":1,"area":null},{"id":"2307.02910","title":"Agentivit\\`a e telicit\\`a in GilBERTo: implicazioni cognitive","created":"2023-07-06","cited_by_count":1,"area":null},{"id":"2411.02610","title":"Investigating Idiomaticity in Word Representations","created":"2024-11-04","cited_by_count":1,"area":null},{"id":"2104.05928","title":"Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders","created":"2021-04-13","cited_by_count":0,"area":null},{"id":"2205.13708","title":"HiJoNLP at SemEval-2022 Task 2: Detecting Idiomaticity of Multiword Expressions using Multilingual Pretrained Language Models","created":"2022-05-27","cited_by_count":0,"area":null},{"id":"2211.04364","title":"NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?","created":"2022-11-08","cited_by_count":0,"area":null},{"id":"2311.11085","title":"Compositional Fusion of Signals in Data Embedding","created":"2023-11-18","cited_by_count":0,"area":null},{"id":"2505.06062","title":"Attention on Multiword Expressions: A Multilingual Study of BERT-based Models with Regard to Idiomaticity and Microsyntax","created":"2025-05-09","cited_by_count":0,"area":null},{"id":"2605.01073","title":"Controlled Paraphrase Geometry in Sentence Embedding Space: Local Manifold Modeling and Latent Probing","created":"2026-05-01","cited_by_count":0,"area":null}],"next_cursor":null}