{"total":34,"rows":[{"id":"2211.05100","title":"BLOOM: A 176B-Parameter Open-Access Multilingual Language Model","created":"2022-11-09","cited_by_count":1984,"area":null},{"id":"2502.11856","title":"LLMs as a synthesis between symbolic and distributed approaches to language","created":"2025-02-17","cited_by_count":13,"area":null},{"id":"2405.09279","title":"Sign of the Times: Evaluating the use of Large Language Models for Idiomaticity Detection","created":"2024-05-15","cited_by_count":11,"area":null},{"id":"2211.13327","title":"A Report on the Euphemisms Detection Shared Task","created":"2022-11-23","cited_by_count":7,"area":null},{"id":"2403.04872","title":"Code-Mixed Probes Show How Pre-Trained Models Generalise On Code-Switched Text","created":"2024-03-07","cited_by_count":7,"area":null},{"id":"2406.15175","title":"Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss","created":"2024-06-21","cited_by_count":7,"area":null},{"id":"2311.00790","title":"Construction Artifacts in Metaphor Identification Datasets","created":"2023-11-01","cited_by_count":5,"area":null},{"id":"2406.18045","title":"PharmaGPT: Domain-Specific Large Language Models for Bio-Pharmaceutical and Chemistry","created":"2024-06-26","cited_by_count":4,"area":null},{"id":"2412.18151","title":"CoAM: Corpus of All-Type Multiword Expressions","created":"2024-12-24","cited_by_count":4,"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":"2306.00121","title":"Multilingual Multi-Figurative Language Detection","created":"2023-05-31","cited_by_count":3,"area":null},{"id":"2403.02009","title":"Topic Aware Probing: From Sentence Length Prediction to Idiom Identification how reliant are Neural Language Models on Topic?","created":"2024-03-04","cited_by_count":3,"area":null},{"id":"2503.15358","title":"SemEval-2025 Task 1: AdMIRe -- Advancing Multimodal Idiomaticity Representation","created":"2025-03-19","cited_by_count":3,"area":null},{"id":"2602.03484","title":"Preferences for Idiomatic Language are Acquired Slowly -- and Forgotten Quickly: A Case Study on Swedish","created":"2026-02-03","cited_by_count":3,"area":null},{"id":"2210.17301","title":"Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5","created":"2022-10-31","cited_by_count":2,"area":null},{"id":"2508.11828","title":"A Survey of Idiom Datasets for Psycholinguistic and Computational Research","created":"2025-08-15","cited_by_count":2,"area":null},{"id":"2511.16345","title":"NLP Datasets for Idiom and Figurative Language Tasks","created":"2025-11-20","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":"2405.08497","title":"Is Less More? Quality, Quantity and Context in Idiom Processing with Natural Language Models","created":"2024-05-14","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":"2601.08645","title":"A Parallel Cross-Lingual Benchmark for Multimodal Idiomaticity Understanding","created":"2026-01-13","cited_by_count":1,"area":null},{"id":"2602.09866","title":"SinFoS: A Parallel Dataset for Translating Sinhala Figures of Speech","created":"2026-02-09","cited_by_count":1,"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":"2206.03025","title":"OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual Idiomaticity Detection","created":"2022-06-07","cited_by_count":0,"area":null},{"id":"2206.11854","title":"HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization","created":"2022-06-01","cited_by_count":0,"area":null},{"id":"2304.04054","title":"tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection using XLM-T, Google Translate, and Ensemble Learning","created":"2023-04-08","cited_by_count":0,"area":null},{"id":"2305.14070","title":"Assessing Linguistic Generalisation in Language Models: A Dataset for Brazilian Portuguese","created":"2023-05-23","cited_by_count":0,"area":null},{"id":"2306.01443","title":"Unsupervised Paraphrasing of Multiword Expressions","created":"2023-06-02","cited_by_count":0,"area":null},{"id":"2504.20051","title":"Evaluating Large Language Models on Multiword Expressions in Multilingual and Code-Switched Contexts","created":"2025-04-10","cited_by_count":0,"area":null},{"id":"2603.22799","title":"Span Modeling for Idiomaticity and Figurative Language Detection with Span Contrastive Loss","created":"2026-03-24","cited_by_count":0,"area":null},{"id":"2605.22247","title":"IdioLink: Retrieving Meaning Beyond Words Across Idiomatic and Literal Expressions","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2608.03095","title":"VIVID: A Culturally Grounded Benchmark Exposing the Figurative Language Gap in Vietnamese NLP","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.08090","title":"Wisdom in Unity: The Role of Multilingual Training in Figurative Language Identification in Proverbs","created":"2026-08-08","cited_by_count":0,"area":null}],"next_cursor":null}