--- title: "Who cites Lun-Wei Ku — 69 papers of our library" description: "69 papers of the Elamur Research library cite the works of Lun-Wei Ku, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/lun-wei-ku/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lun-wei-ku/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Lun-Wei Ku](https://md.research.elamur.ai/free/en/authors/lun-wei-ku/) / cited by # Who cites Lun-Wei Ku 69 citations of their works from 69 papers of our library (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · [← Lun-Wei Ku](https://md.research.elamur.ai/free/en/authors/lun-wei-ku/) 1. **[Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/mohammad-2022-ethics-sheet-automatic-emotion-recognition/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Saif M. Mohammad*2022 · 164 citations* 2. [**SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic**Ibrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.*2022 · 146 citations*](https://md.research.elamur.ai/free/en/papers/farha-2022-semeval-2022-task-6-isarcasmeval/) 3. **[The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models](https://md.research.elamur.ai/free/en/papers/kirk-2024-prism-alignment-dataset-participatory-representative/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hannah Rose Kirk, Alexander Whitefield, Paul Rottger, et al.*2024 · 133 citations* 4. **[POTATO: The Portable Text Annotation Tool](https://md.research.elamur.ai/free/en/papers/pei-2022-potato-portable-text-annotation-tool/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, et al.*2022 · 90 citations* 5. **[Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation](https://md.research.elamur.ai/free/en/papers/fernandes-2023-bridging-gap-survey-integrating-human/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Patrick Fernandes, Aman Madaan, Emmy Liu, et al.*2023 · 84 citations* 6. **[The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation](https://md.research.elamur.ai/free/en/papers/loakman-2023-iron-ic-melting-pot-reviewing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tyler Loakman, Aaron Maladry, Chenghua Lin*2023 · 19 citations* 7. **[Perceived and Intended Sarcasm Detection with Graph Attention Networks](https://md.research.elamur.ai/free/en/papers/plepi-2021-perceived-intended-sarcasm-detection-graph-2021-findings-emnlp-408/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joan Plepi, Lucie Flek*2021 · 18 citations* 8. [**A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives**Qingcheng Zeng, An-Ran Li*2022 · 14 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2022-survey-automatic-irony-processing-linguistic/) 9. **[Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/farha-2022-sarcasm-detection-is-way-too/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ibrahim Abu Farha, Steven Wilson, Silviu Oprea, et al.*2022 · 13 citations* 10. **[Perceived and Intended Sarcasm Detection with Graph Attention Networks](https://md.research.elamur.ai/free/en/papers/plepi-2021-perceived-intended-sarcasm-detection-graph/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Joan Plepi, Lucie Flek*2021 · 11 citations* 11. **[“When Words Fail, Emojis Prevail”: A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic Incongruity](https://md.research.elamur.ai/free/en/papers/kader-2023-when-words-fail-emojis-prevail/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.*2023 · 5 citations* 12. [**Training LLMs to Recognize Hedges in Dialogues about Roadrunner Cartoons**Amie Paige, Adil Soubki, John Murzaku, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/paige-2024-training-llms-recognize-hedges-dialogues/) 13. [**Computational Sarcasm Analysis on Social Media: A Systematic Review arXiv:2209.06170**Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/kader-2022-computational-sarcasm-analysis-social-media/) 14. **[TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/angel-2022-tug-cic-semeval-2021-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Jason Angel, Segun Taofeek Aroyehun, Alexander Gelbukh*2022 · 4 citations* 15. **[Using Sarcasm to Improve Cyberbullying Detection](https://md.research.elamur.ai/free/en/papers/guo-2024-sarcasm-improve-cyberbullying-detection/) [Workshop on Trolling, Aggression and Cyberbullying](https://md.research.elamur.ai/free/en/venues/trac/)**Xiaoyu Guo, Susan Gauch*2024 · 3 citations* 16. **[Can Contextualizing User Embeddings Improve Sarcasm and Hate Speech Detection?](https://md.research.elamur.ai/free/en/papers/breitwieser-2022-can-contextualizing-user-embeddings-improve/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Kim Breitwieser*2022 · 2 citations* 17. **[Can LLMs Understand the Impact of Trauma? Costs and Benefits of LLMs Coding the Interviews of Firearm Violence Survivors](https://md.research.elamur.ai/free/en/papers/zhu-2026-can-llms-understand-impact-trauma/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jessica H Zhu, Shayla Stringfield, Vahe Zaprosyan, et al.*2026 · 1 citation* 18. **[Multilingual Communication in the Asylum Context: Evaluating LLM-Based Machine Translation with Fuzzy Match Augmentation and Adaptive NMT across Resource Conditions under Low-Data Constraints](https://md.research.elamur.ai/free/en/papers/moerman-2026-multilingual-communication-asylum-context-evaluating/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Thomas Moerman, Arda Tezcan, Lieve Macken*2026 · 1 citation* 19. **[Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants](https://md.research.elamur.ai/free/en/papers/ranjit-2026-uncovering-intervention-opportunities-suicide-prevention/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jaspreet Ranjit, Hyundong Justin Cho, Claire J. Smerdon, et al.*2026 · 1 citation* 20. [**Training LLMs to Recognize Hedges in Spontaneous Narratives SIGDIAL 2024**Amie J. Paige, Adil Soubki, John Murzaku, et al.*2024*](https://md.research.elamur.ai/free/en/papers/paige-2024-training-llms-recognize-hedges-spontaneous/) 49 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/lun-wei-ku/) — Lun-Wei Ku