🧑‍🔬 Who cites Nikunj Saunshi

179 citations of their works from 179 papers of our library (of the 149,439 whose bibliographies we read) · 74 with a page here, the most cited first · ← Nikunj Saunshi

1. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
2. A Transformer-based approach to Irony and Sarcasm detectionNeural Computing and ApplicationsRolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis2019 · 312 citations
3. Large Language Models for Mathematical Reasoning: Progresses and ChallengesConference of the European Chapter of the Association for Computational Linguistics (EACL)Janice Ahn, Rishu Verma, Renze Lou, et al.2024 · 280 citations
4. Reasoning with Sarcasm by Reading In-BetweenAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Tay, Anh Tuan Luu, Siu Cheung Hui, et al.2018 · 248 citations
5. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
6. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
7. SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and ArabicIbrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.2022 · 146 citations
8. Deep contextualized word representations for detecting sarcasm and ironyWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisSuzana Ilić, Edison Marrese-Taylor, Jorge Balazs, et al.2018 · 142 citations
9. Affective and Contextual Embedding for Sarcasm DetectionInternational Conference on Computational Linguistics (COLING)Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.2020 · 135 citations
10. From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm DatasetWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksIbrahim Abu Farha, Walid Magdy2020 · 132 citations
11. Faithful Logical Reasoning via Symbolic Chain-of-ThoughtAnnual Meeting of the Association for Computational Linguistics (ACL)Jundong Xu, Hao Fei, Liangming Pan, et al.2024 · 129 citations
12. Sarcasm Analysis Using Conversation ContextComputational LinguisticsDebanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan2018 · 119 citations
13. A Report on the 2020 Sarcasm Detection Shared TaskWorkshop on Figurative Language ProcessingDebanjan Ghosh, Avijit Vajpayee, Smaranda Muresan2020 · 92 citations
14. CASCADE: Contextual Sarcasm Detection in Online Discussion ForumsInternational Conference on Computational Linguistics (COLING)Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, et al.2018 · 89 citations
15. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
16. CODI: Compressing Chain-of-Thought into Continuous Space via Self-DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenyi Shen, Hanqi Yan, Linhai Zhang, et al.2025 · 78 citations
17. Dynamic Early Exit in Reasoning ModelsarXiv:2504.15895Chenxu Yang, Qingyi Si, Yongjie Duan, et al.2025 · 74 citations
18. Aligning Large and Small Language Models via Chain-of-Thought ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Leonardo Ranaldi, Andre Freitas2024 · 70 citations
19. BIG-Bench Extra HardAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Bahare Fatemi, Hritik Bansal, et al.2025 · 58 citations
20. Reasoning Models Can Be Effective Without ThinkingarXiv:2504.09858Wenjie Ma, Jingxuan He, Charlie Snell, et al.2025 · 58 citations
21. iSarcasm: A Dataset of Intended SarcasmSilviu Oprea, Walid Magdy2020 · 58 citations
22. Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm DetectionWorkshop on Figurative Language ProcessingTaha Shangipour ataei, Soroush Javdan, Behrouz Minaei-Bidgoli2020 · 56 citations
23. Sarcasm Detection Using an Ensemble ApproachWorkshop on Figurative Language ProcessingJens Lemmens, Ben Burtenshaw, Ehsan Lotfi, et al.2020 · 56 citations
24. Representing Social Media Users for Sarcasm DetectionConference on Empirical Methods in Natural Language Processing (EMNLP)Y. Alex Kolchinski, Christopher Potts2018 · 54 citations
25. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesFindings of the Association for Computational LinguisticsDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 38 citations
26. A Transformer Approach to Contextual Sarcasm Detection in TwitterWorkshop on Figurative Language ProcessingHunter Gregory, Steven Li, Pouya Mohammadi, et al.2020 · 38 citations
27. Efficient Reasoning Models: A SurveyarXiv:2504.10903Sicheng Feng, Gongfan Fang, Xinyin Ma, et al.2025 · 37 citations
28. Self-Refine Instruction-Tuning for Aligning Reasoning in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Leonardo Ranaldi, Andre Freitas2024 · 35 citations
29. A Multimodal Corpus for Emotion Recognition in SarcasmLanguage Resources and Evaluation Conference (LREC)Anupama Ray, Shubham Mishra, Apoorva Nunna, et al.2022 · 35 citations
30. Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social MediaWorkshop on Figurative Language ProcessingXiangjue Dong, Changmao Li, Jinho D. Choi2020 · 35 citations
31. A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment ConflictFindings of the Association for Computational LinguisticsYiyi Liu, Yequan Wang, Aixin Sun, et al.2022 · 34 citations
32. Transformers on Sarcasm Detection with ContextWorkshop on Figurative Language ProcessingAmardeep Kumar, Vivek Anand2020 · 34 citations
33. Sarcasm Identification and Detection in Conversion Context using BERTWorkshop on Figurative Language ProcessingKalaivani A., Thenmozhi D.2020 · 31 citations
34. Latent-Optimized Adversarial Neural Transfer for Sarcasm DetectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xu Guo, Boyang Li, Han Yu, et al.2021 · 27 citations
35. Augmenting Data for Sarcasm Detection with Unlabeled Conversation ContextWorkshop on Figurative Language ProcessingHankyol Lee, Youngjae Yu, Gunhee Kim2020 · 27 citations
36. A Survey of Multimodal Sarcasm DetectionarXiv:2410.18882Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia, et al.2024 · 26 citations
37. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
38. Generalizable Sarcasm Detection is Just Around the Corner, of Course!Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hyewon Jang, Diego Frassinelli2024 · 22 citations
39. Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning ChainsConference on Neural Information Processing Systems (NeurIPS)Wenhui Tan, Jiaze Li, Jianzhong Ju, et al.2025 · 19 citations
40. A Survey on Automated Sarcasm Detection on TwitterarXiv:2202.02516Bleau Moores, Vijay Mago2022 · 19 citations
41. The Effect of Arabic Dialect Familiarity on Data AnnotationArabic Natural Language Processing Workshop (WANLP)Ibrahim Abu Farha, Walid Magdy2022 · 19 citations
42. Linguistic Features of Sarcasm and Metaphor Production QualityWorkshop on Figurative Language ProcessingStephen Skalicky, Scott Crossley2018 · 17 citations
43. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations
44. Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm DetectionFindings of the Association for Computational LinguisticsIbrahim Abu Farha, Steven Wilson, Silviu Oprea, et al.2022 · 13 citations
45. Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Silviu Vlad Oprea, Steven Wilson, Walid Magdy2022 · 13 citations
46. Could Thinking Multilingually Empower LLM Reasoning?arXiv:2504.11833Changjiang Gao, Xu Huang, Wenhao Zhu, et al.2025 · 10 citations
47. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
48. Sarcasm Detection in a Disaster ContextLanguage Resources and Evaluation Conference (LREC)Tiberiu Sosea, Junyi Jessy Li, Cornelia Caragea2024 · 8 citations
49. Chandler: An Explainable Sarcastic Response GeneratorConference on Empirical Methods in Natural Language Processing (EMNLP)Silviu Oprea, Steven Wilson, Walid Magdy2021 · 8 citations
50. Cutting Through the Noise: Boosting LLM Performance on Math Word ProblemsUjjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al.2024 · 7 citations
51. Efficient Reasoning for LLMs through Speculative Chain-of-ThoughtFindings of the Association for Computational LinguisticsJikai Wang, Juntao Li, Jianye Hou, et al.2026 · 6 citations
52. Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Qifan Yu, Zhenyu He, Sijie Li, et al.2026 · 5 citations
53. “When Words Fail, Emojis Prevail”: A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic IncongruityAnnual Meeting of the Association for Computational Linguistics (ACL)Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.2023 · 5 citations
54. Understanding the Sarcastic Nature of Emojis with SarcOjiInternational Workshop on Emoji Understanding and Applications in Social MediaVandita Grover, Hema Banati2022 · 5 citations
55. Sarcasm in Sight and Sound: Benchmarking and Expansion to Improve Multimodal Sarcasm DetectionarXiv:2310.01430Swapnil Bhosale, Abhra Chaudhuri, Alex Lee Robert Williams, et al.2023 · 4 citations
56. Computational Sarcasm Analysis on Social Media: A Systematic ReviewarXiv:2209.06170Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.2022 · 4 citations
57. Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated DatasetWorkshop on Natural Language Processing and Computational Social ScienceJordan Painter, Helen Treharne, Diptesh Kanojia2022 · 4 citations
58. Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor LiteraturearXiv:2106.05752 · In RAAI 2020. Advances in Intelligent Systems and Computing, vol 1355 (2021)Sourav Das, Anup Kumar Kolya2020 · 4 citations
59. AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning TechniquesInternational Workshop on Semantic Evaluation (SemEval)Aya Lotfy, Marwan Torki, Nagwa El-Makky2022 · 3 citations
60. Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using OversamplingInternational Workshop on Semantic Evaluation (SemEval)Aparna K Ajayan, Krishna Mohanan, Anugraha S, et al.2022 · 3 citations
61. Sarcasm Detection and Building an English Language Corpus in Real TimeRecent Advances in Natural Language Processing (RANLP)Oliver Cakebread-Andrews2021 · 3 citations
62. IIIDYT at SemEval-2018 Task 3: Irony detection in English tweetsInternational Workshop on Semantic Evaluation (SemEval)Edison Marrese-Taylor, Suzana Ilic, Jorge Balazs, et al.2018 · 3 citations
63. Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yongjiang Liu, Haoxi Li, Xiaosong Ma, et al.2026 · 2 citations
64. BERT's The Word : Sarcasm Target Detection using BERTAnnual Workshop of the Australasian Language Technology Association (ALTA)Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, et al.2021 · 2 citations
65. Active Learning for Corpus Refinement: Cost-Effective Preprocessing to Improve Validity of Applied Quantitative Text AnalysisConference of the European Chapter of the Association for Computational Linguistics (EACL)Jakob Steglich, Stephan Poppe2026 · 1 citation
66. SpiralThinker: Latent Reasoning through an Iterative Process with Text–Latent InterleavingFindings of the Association for Computational LinguisticsShengmin Piao, Sanghyun Park2026 · 1 citation
67. Personalized Intended and Perceived Sarcasm Detection on TwitterProceedings of the 3rd Workshop on Computational Linguistics for the Political and Social SciencesJoan Plepi, Magdalena Buski, Lucie Flek2023 · 1 citation
68. JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-gramsInternational Workshop on Semantic Evaluation (SemEval)Yaakov HaCohen-Kerner, Matan Fchima, Ilan Meyrowitsch2022 · 1 citation
69. CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language ModelsarXiv:2603.09993Jon Chun, Hannah Sussman, Adrian Mangine, et al.2026
70. Learning Shortcut Models for Efficient Recursive ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Shiv Shankar2026
71. LoopCoder: Scaling Code Intelligence via Looped Language ModelsFindings of the Association for Computational LinguisticsJian Yang, Wei Zhang, Shuyue Guo, et al.2026
72. Reasoning as Supportive Context for Machine Translation: A Case Study on Hindi to Bengali Language PairAnnual Conference of the European Association for Machine Translation (EAMT)Kshetrimayum Boynao Singh, Saksham Singh, Partha Pakray, et al.2026
73. Was that Sarcasm?: A Literature Survey on Sarcasm DetectionarXiv:2412.00425Harleen Kaur Bagga, Jasmine Bernard, Sahil Shaheen, et al.2024
74. TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer ModelsInternational Workshop on Semantic Evaluation (SemEval)Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton R, et al.2022

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