{"total":61,"rows":[{"id":"2305.03514","title":"Can Large Language Models Transform Computational Social Science?","created":"2023-04-12","cited_by_count":250,"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":"2305.16171","title":"Multi-lingual and Multi-cultural Figurative Language Understanding","created":"2023-05-25","cited_by_count":47,"area":null},{"id":"2306.04746","title":"Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models","created":"2023-06-07","cited_by_count":39,"area":null},{"id":"2401.11839","title":"AI for social science and social science of AI: A Survey","created":"2024-01-22","cited_by_count":29,"area":null},{"id":"2305.14492","title":"Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment","created":"2023-05-23","cited_by_count":22,"area":null},{"id":"2505.18152","title":"Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs","created":"2025-05-23","cited_by_count":16,"area":null},{"id":"2310.14159","title":"Can Language Models Laugh at YouTube Short-form Videos?","created":"2023-10-22","cited_by_count":11,"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":"2405.10579","title":"A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models","created":"2024-05-17","cited_by_count":11,"area":null},{"id":"2502.08946","title":"The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding","created":"2025-02-13","cited_by_count":11,"area":null},{"id":"2609.24574","title":"Evaluating Decision Models for Text Annotation in Computational Social Science","created":"2026-09-21","cited_by_count":11,"area":null},{"id":"2506.08354","title":"Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning","created":"2025-06-10","cited_by_count":10,"area":null},{"id":"2410.03594","title":"Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments","created":"2024-10-04","cited_by_count":9,"area":null},{"id":"2210.16407","title":"Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE","created":"2022-10-28","cited_by_count":8,"area":null},{"id":"2305.18657","title":"Representation Of Lexical Stylistic Features In Language Models' Embedding Space","created":"2023-05-29","cited_by_count":8,"area":null},{"id":"2507.15357","title":"Metaphor and Large Language Models: When Surface Features Matter More than Deep Understanding","created":"2025-07-21","cited_by_count":8,"area":null},{"id":"2402.01980","title":"SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks","created":"2024-02-03","cited_by_count":7,"area":null},{"id":"2410.17218","title":"Creativity in AI: Progresses and Challenges","created":"2024-10-22","cited_by_count":7,"area":null},{"id":"2407.11988","title":"Generating Harder Cross-document Event Coreference Resolution Datasets using Metaphoric Paraphrasing","created":"2024-06-05","cited_by_count":6,"area":null},{"id":"2404.06357","title":"Generalizable Sarcasm Detection Is Just Around The Corner, Of Course!","created":"2024-04-09","cited_by_count":5,"area":null},{"id":"2404.07053","title":"Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation","created":"2024-04-10","cited_by_count":5,"area":null},{"id":"2411.14137","title":"VAGUE: Visual Contexts Clarify Ambiguous Expressions","created":"2024-11-21","cited_by_count":5,"area":null},{"id":"2508.02241","title":"Isolating Culture Neurons in Multilingual Large Language Models","created":"2025-08-04","cited_by_count":4,"area":null},{"id":"2510.08543","title":"VideoNorms: Benchmarking Cultural Awareness of Video Language Models","created":"2025-10-09","cited_by_count":4,"area":null},{"id":"2604.10787","title":"When Meaning Isn't Literal: Exploring Idiomatic Meaning Across Languages and Modalities","created":"2026-04-12","cited_by_count":4,"area":null},{"id":"2306.00217","title":"FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms","created":"2023-05-31","cited_by_count":3,"area":null},{"id":"2310.10543","title":"ViPE: Visualise Pretty-much Everything","created":"2023-10-16","cited_by_count":3,"area":null},{"id":"2310.14610","title":"That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?","created":"2023-10-23","cited_by_count":3,"area":null},{"id":"2401.16012","title":"Finding Challenging Metaphors that Confuse Pretrained Language Models","created":"2024-01-29","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":"2309.10744","title":"Evaluating Large Language Models' Ability Using a Psychiatric Screening Tool Based on Metaphor and Sarcasm Scenarios","created":"2023-09-19","cited_by_count":2,"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":"2411.08010","title":"ExpressivityBench: Can LLMs Communicate Implicitly?","created":"2024-11-12","cited_by_count":2,"area":null},{"id":"2504.02983","title":"Hummus: A Dataset of Humorous Multimodal Metaphor Use","created":"2025-04-03","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":"2601.20105","title":"FFE-Hallu:Hallucinations in Fixed Figurative Expressions:Benchmark of Idioms and Proverbs in the Persian Language","created":"2026-01-27","cited_by_count":2,"area":null},{"id":"2602.12921","title":"When Words Don't Mean What They Say: Figurative Understanding in Bengali Idioms","created":"2026-02-13","cited_by_count":2,"area":null},{"id":"2405.08760","title":"Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Non-Literal Intent Resolution in LLMs","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":"2505.11829","title":"Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Tasks","created":"2025-05-17","cited_by_count":1,"area":null},{"id":"2507.12039","title":"A Comparative Approach to Assessing Linguistic Creativity of Large Language Models and Humans","created":"2025-07-16","cited_by_count":1,"area":null},{"id":"2604.12919","title":"MetFuse: Figurative Fusion between Metonymy and Metaphor","created":"2026-04-14","cited_by_count":1,"area":null},{"id":"2605.30443","title":"Cross-Lingual Steering for Figurative Language Generation","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2308.04109","title":"I-WAS: a Data Augmentation Method with GPT-2 for Simile Detection","created":"2023-08-08","cited_by_count":0,"area":null},{"id":"2311.13029","title":"Systematic word meta-sense extension","created":"2023-11-21","cited_by_count":0,"area":null},{"id":"2406.08218","title":"Figuratively Speaking: Authorship Attribution via Multi-Task Figurative Language Modeling","created":"2024-06-12","cited_by_count":0,"area":null},{"id":"2412.00425","title":"Was that Sarcasm?: A Literature Survey on Sarcasm Detection","created":"2024-11-30","cited_by_count":0,"area":null},{"id":"2505.15095","title":"Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English","created":"2025-05-21","cited_by_count":0,"area":null},{"id":"2507.18915","title":"Mining Contextualized Visual Associations from Images for Creativity Understanding","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2510.23828","title":"Beyond Understanding: Evaluating the Pragmatic Gap in LLMs' Cultural Processing of Figurative Language","created":"2025-10-27","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":"2605.01323","title":"SiNFluD: Creating and Evaluating Figurative Language Dataset for Sindhi","created":"2026-05-02","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":"2605.25461","title":"MetaphorVU: Towards Metaphorical Video Understanding","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2606.18922","title":"As Easy as Rocket Science: Assessing the Ability of Large Language Models to Interpret Negation in Figurative Language","created":"2026-06-17","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},{"id":"2608.18361","title":"Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning","created":"2026-08-18","cited_by_count":0,"area":null},{"id":"2610.12863","title":"Unreliable Narrator Framing as a Cost-effective Mechanism for Satire Explanation of Australian and American Satirical News","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}