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# Who cites «SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic»

49 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/farha-2022-semeval-2022-task-6-isarcasmeval/)

1. [When AI Rewrites, Classifiers Relax: Uncertainty-Aware Sentiment Analysis on Sarcastic and AI-Paraphrased Social Text](https://arxiv.org/abs/2608.15338) *— 2026 · arXiv:2608.15338*
2. [Irony Detection, Reasoning and Understanding in Zero-shot Learning](https://arxiv.org/abs/2501.16884) *— 2025 · arXiv:2501.16884*
3. [Rhetorical Device-Aware Sarcasm Detection with Counterfactual Data Augmentation](https://aclanthology.org/2025.findings-acl.607/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
4. [Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence](https://aclanthology.org/2024.findings-acl.665/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
5. [Can Large Multimodal Models Uncover Deep Semantics Behind Images?](https://aclanthology.org/2024.findings-acl.113/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
6. [EgyBERT: A Large Language Model Pretrained on Egyptian Dialect Corpora](https://arxiv.org/abs/2408.03524) *— 2024 · arXiv:2408.03524*
7. [Error Analysis of NLP Models and Non-Native Speakers of English Identifying Sarcasm in Reddit Comments](https://aclanthology.org/2024.lrec-main.552/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
8. [Estimating the Level of Dialectness Predicts Inter-annotator Agreement in Multi-dialect Arabic Datasets](https://aclanthology.org/2024.acl-short.70/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
9. [Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets](https://arxiv.org/abs/2405.11282) *— 2024 · arXiv:2405.11282*
10. [Generalizable Sarcasm Detection is Just Around the Corner, of Course!](https://aclanthology.org/2024.naacl-long.238/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
11. [Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science](https://aclanthology.org/2024.lrec-main.1055/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
12. [PHAnToM: Persona-based Prompting Has An Effect on Theory-of-Mind Reasoning in Large Language Models](https://arxiv.org/abs/2403.02246) *— 2024 · arXiv:2403.02246*
13. [SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding](https://arxiv.org/abs/2408.11319) *— 2024 · arXiv:2408.11319*
14. [Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning](https://aclanthology.org/2024.naacl-long.221/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
15. [Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark](https://aclanthology.org/2023.emnlp-main.699/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
16. [The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation](https://aclanthology.org/2023.findings-emnlp.444/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
17. [CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic](https://aclanthology.org/2022.semeval-1.117/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
18. [DUCS at SemEval-2022 Task 6: Exploring Emojis and Sentiments for Sarcasm Detection](https://aclanthology.org/2022.semeval-1.141/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
19. [Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5](https://aclanthology.org/2022.flp-1.8/) *— 2022 · Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)*
20. [FII UAIC at SemEval-2022 Task 6: iSarcasmEval - Intended Sarcasm Detection in English and Arabic](https://aclanthology.org/2022.semeval-1.136/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
21. [GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification](https://aclanthology.org/2022.semeval-1.114/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
22. [High Tech team at SemEval-2022 Task 6: Intended Sarcasm Detection for Arabic texts](https://aclanthology.org/2022.semeval-1.116/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
23. [I2C at SemEval-2022 Task 6: Intended Sarcasm Detection on Social Networks with Deep Learning](https://aclanthology.org/2022.semeval-1.122/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
24. [I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning Techniques](https://aclanthology.org/2022.semeval-1.119/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
25. [JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams](https://aclanthology.org/2022.semeval-1.145/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
26. [LISACTeam at SemEval-2022 Task 6: A Transformer based Approach for Intended Sarcasm Detection in English Tweets](https://aclanthology.org/2022.semeval-1.139/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
27. [NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning](https://aclanthology.org/2022.semeval-1.120/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
28. [PALI-NLP at SemEval-2022 Task 6: iSarcasmEval- Fine-tuning the Pre-trained Model for Detecting Intended Sarcasm](https://aclanthology.org/2022.semeval-1.112/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
29. [Plumeria at SemEval-2022 Task 6: Robust Approaches for Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation](https://arxiv.org/abs/2203.04111) *— 2022 · arXiv:2203.04111*
30. [R2D2 at SemEval-2022 Task 6: Are language models sarcastic enough? Finetuning pre-trained language models to identify sarcasm](https://aclanthology.org/2022.semeval-1.143/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
31. [Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection](https://aclanthology.org/2022.findings-emnlp.387/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
32. [SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic Languages](https://aclanthology.org/2022.semeval-1.144/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
33. [Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation](https://aclanthology.org/2022.acl-long.530/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection](https://aclanthology.org/2022.semeval-1.133/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
35. [TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models](https://aclanthology.org/2022.semeval-1.118/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
36. [Understanding the Sarcastic Nature of Emojis with SarcOji](https://aclanthology.org/2022.emoji-1.4/) *— 2022 · Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media*
37. [UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection](https://aclanthology.org/2022.semeval-1.121/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
38. [X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection](https://aclanthology.org/2022.semeval-1.140/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
39. [YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic](https://aclanthology.org/2022.semeval-1.134/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
40. [stce at SemEval-2022 Task 6: Sarcasm Detection in English Tweets](https://aclanthology.org/2022.semeval-1.113/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
41. almendros-2022-identifying-condescending-language-tale-two
42. bagdon-2025-donate-or-create-comparing-data
43. djamai-2026-namaa-semeval-2026-task-9
44. goot-2022-machamp-semeval-2022-tasks-2
45. guo-2026-textreasoningbench-reasoning-really-improve-text
46. hashimoto-2024-mlt-dr-multi-lingual-task
47. katsios-2024-figuratively-speaking-authorship-attribution-multi
48. mu-2024-enhancing-data-quality-through-simple
49. wang-2025-beyond-single-frames-can-lmms
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