---
title: "Who cites Nikunj Saunshi — 179 papers of our library"
description: "179 papers of the Elamur Research library cite the works of Nikunj Saunshi, found in their bibliographies; the most cited first."
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---
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# 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](https://md.research.elamur.ai/free/en/authors/nikunj-saunshi/)

1. [**Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj**Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.*2022 · 1,756 citations*](https://md.research.elamur.ai/free/en/papers/srivastava-2022-imitation-game-quantifying-extrapolating-capabilities/)
2. **[A Transformer-based approach to Irony and Sarcasm detection](https://md.research.elamur.ai/free/en/papers/potamias-2019-transformer-based-approach-irony-sarcasm/) [Neural Computing and Applications](https://md.research.elamur.ai/free/en/venues/neural-computing-and-applications/)**Rolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis*2019 · 312 citations*
3. **[Large Language Models for Mathematical Reasoning: Progresses and Challenges](https://md.research.elamur.ai/free/en/papers/ahn-2024-large-language-models-mathematical-reasoning/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Janice Ahn, Rishu Verma, Renze Lou, et al.*2024 · 280 citations*
4. **[Reasoning with Sarcasm by Reading In-Between](https://md.research.elamur.ai/free/en/papers/tay-2018-reasoning-sarcasm-reading-between/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Models](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 176 citations*
6. [**Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models arXiv:2503.16419**Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.*2025 · 157 citations*](https://md.research.elamur.ai/free/en/papers/sui-2025-stop-overthinking-survey-efficient-reasoning/)
7. [**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/)
8. **[Deep contextualized word representations for detecting sarcasm and irony](https://md.research.elamur.ai/free/en/papers/ilic-2018-deep-contextualized-word-representations-detecting/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Suzana Ilić, Edison Marrese-Taylor, Jorge Balazs, et al.*2018 · 142 citations*
9. **[Affective and Contextual Embedding for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/babanejad-2020-affective-contextual-embedding-sarcasm-detection/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.*2020 · 135 citations*
10. **[From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset](https://md.research.elamur.ai/free/en/papers/farha-2020-arabic-sentiment-analysis-sarcasm-detection/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ibrahim Abu Farha, Walid Magdy*2020 · 132 citations*
11. **[Faithful Logical Reasoning via Symbolic Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/xu-2024-faithful-logical-reasoning-symbolic-chain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jundong Xu, Hao Fei, Liangming Pan, et al.*2024 · 129 citations*
12. **[Sarcasm Analysis Using Conversation Context](https://md.research.elamur.ai/free/en/papers/ghosh-2018-sarcasm-analysis-conversation-context/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan*2018 · 119 citations*
13. **[A Report on the 2020 Sarcasm Detection Shared Task](https://md.research.elamur.ai/free/en/papers/ghosh-2020-report-2020-sarcasm-detection-shared/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan*2020 · 92 citations*
14. **[CASCADE: Contextual Sarcasm Detection in Online Discussion Forums](https://md.research.elamur.ai/free/en/papers/hazarika-2018-cascade-contextual-sarcasm-detection-online/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/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:2503.24235**Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.*2025 · 79 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-survey-test-time-scaling-large/)
16. **[CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation](https://md.research.elamur.ai/free/en/papers/shen-2025-codi-compressing-chain-thought-into/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhenyi Shen, Hanqi Yan, Linhai Zhang, et al.*2025 · 78 citations*
17. [**Dynamic Early Exit in Reasoning Models arXiv:2504.15895**Chenxu Yang, Qingyi Si, Yongjie Duan, et al.*2025 · 74 citations*](https://md.research.elamur.ai/free/en/papers/yang-2025-dynamic-early-exit-reasoning-models/)
18. **[Aligning Large and Small Language Models via Chain-of-Thought Reasoning](https://md.research.elamur.ai/free/en/papers/ranaldi-2024-aligning-large-small-language-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Leonardo Ranaldi, Andre Freitas*2024 · 70 citations*
19. **[BIG-Bench Extra Hard](https://md.research.elamur.ai/free/en/papers/kazemi-2025-big-bench-extra-hard/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mehran Kazemi, Bahare Fatemi, Hritik Bansal, et al.*2025 · 58 citations*
20. [**Reasoning Models Can Be Effective Without Thinking arXiv:2504.09858**Wenjie Ma, Jingxuan He, Charlie Snell, et al.*2025 · 58 citations*](https://md.research.elamur.ai/free/en/papers/ma-2025-reasoning-models-effective-thinking/)
21. [**iSarcasm: A Dataset of Intended Sarcasm**Silviu Oprea, Walid Magdy*2020 · 58 citations*](https://md.research.elamur.ai/free/en/papers/oprea-2020-isarcasm-dataset-intended-sarcasm/)
22. **[Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/ataei-2020-applying-transformers-aspect-based-sentiment/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Taha Shangipour ataei, Soroush Javdan, Behrouz Minaei-Bidgoli*2020 · 56 citations*
23. **[Sarcasm Detection Using an Ensemble Approach](https://md.research.elamur.ai/free/en/papers/lemmens-2020-sarcasm-detection-ensemble-approach/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Jens Lemmens, Ben Burtenshaw, Ehsan Lotfi, et al.*2020 · 56 citations*
24. **[Representing Social Media Users for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/kolchinski-2018-representing-social-media-users-sarcasm/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Y. Alex Kolchinski, Christopher Potts*2018 · 54 citations*
25. **[Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches](https://md.research.elamur.ai/free/en/papers/fried-2023-pragmatics-language-grounding-phenomena-tasks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Daniel Fried, Nicholas Tomlin, Jennifer Hu, et al.*2023 · 38 citations*
26. **[A Transformer Approach to Contextual Sarcasm Detection in Twitter](https://md.research.elamur.ai/free/en/papers/gregory-2020-transformer-approach-contextual-sarcasm-detection/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Hunter Gregory, Steven Li, Pouya Mohammadi, et al.*2020 · 38 citations*
27. [**Efficient Reasoning Models: A Survey arXiv:2504.10903**Sicheng Feng, Gongfan Fang, Xinyin Ma, et al.*2025 · 37 citations*](https://md.research.elamur.ai/free/en/papers/feng-2025-efficient-reasoning-models-survey/)
28. **[Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models](https://md.research.elamur.ai/free/en/papers/ranaldi-2024-self-refine-instruction-tuning-aligning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Leonardo Ranaldi, Andre Freitas*2024 · 35 citations*
29. **[A Multimodal Corpus for Emotion Recognition in Sarcasm](https://md.research.elamur.ai/free/en/papers/ray-2022-multimodal-corpus-emotion-recognition-sarcasm/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Anupama Ray, Shubham Mishra, Apoorva Nunna, et al.*2022 · 35 citations*
30. **[Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media](https://md.research.elamur.ai/free/en/papers/dong-2020-transformer-based-context-aware-sarcasm/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Xiangjue Dong, Changmao Li, Jinho D. Choi*2020 · 35 citations*
31. **[A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict](https://md.research.elamur.ai/free/en/papers/liu-2022-dual-channel-framework-sarcasm-recognition/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiyi Liu, Yequan Wang, Aixin Sun, et al.*2022 · 34 citations*
32. **[Transformers on Sarcasm Detection with Context](https://md.research.elamur.ai/free/en/papers/kumar-2020-transformers-sarcasm-detection-context/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Amardeep Kumar, Vivek Anand*2020 · 34 citations*
33. **[Sarcasm Identification and Detection in Conversion Context using BERT](https://md.research.elamur.ai/free/en/papers/a-2020-sarcasm-identification-detection-conversion-context/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Kalaivani A., Thenmozhi D.*2020 · 31 citations*
34. **[Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/guo-2021-latent-optimized-adversarial-neural-transfer/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xu Guo, Boyang Li, Han Yu, et al.*2021 · 27 citations*
35. **[Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context](https://md.research.elamur.ai/free/en/papers/lee-2020-augmenting-data-sarcasm-detection-unlabeled/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Hankyol Lee, Youngjae Yu, Gunhee Kim*2020 · 27 citations*
36. [**A Survey of Multimodal Sarcasm Detection arXiv:2410.18882**Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia, et al.*2024 · 26 citations*](https://md.research.elamur.ai/free/en/papers/farabi-2024-survey-multimodal-sarcasm-detection/)
37. [**Scaling Latent Reasoning via Looped Language Models arXiv:2510.25741**Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.*2025 · 22 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2025-scaling-latent-reasoning-looped-language/)
38. **[Generalizable Sarcasm Detection is Just Around the Corner, of Course!](https://md.research.elamur.ai/free/en/papers/jang-2024-generalizable-sarcasm-detection-is-just/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hyewon Jang, Diego Frassinelli*2024 · 22 citations*
39. **[Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains](https://md.research.elamur.ai/free/en/papers/tan-2025-think-silently-think-fast-dynamic/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Wenhui Tan, Jiaze Li, Jianzhong Ju, et al.*2025 · 19 citations*
40. [**A Survey on Automated Sarcasm Detection on Twitter arXiv:2202.02516**Bleau Moores, Vijay Mago*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/moores-2022-survey-automated-sarcasm-detection-twitter/)
41. **[The Effect of Arabic Dialect Familiarity on Data Annotation](https://md.research.elamur.ai/free/en/papers/farha-2022-effect-arabic-dialect-familiarity-data/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ibrahim Abu Farha, Walid Magdy*2022 · 19 citations*
42. **[Linguistic Features of Sarcasm and Metaphor Production Quality](https://md.research.elamur.ai/free/en/papers/skalicky-2018-linguistic-features-sarcasm-metaphor-production/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Stephen Skalicky, Scott Crossley*2018 · 17 citations*
43. [**A Survey on Latent Reasoning arXiv:2507.06203**Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.*2025 · 15 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2025-survey-latent-reasoning/)
44. **[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*
45. **[Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation](https://md.research.elamur.ai/free/en/papers/oprea-2022-should-chatbot-be-sarcastic-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Silviu Vlad Oprea, Steven Wilson, Walid Magdy*2022 · 13 citations*
46. [**Could Thinking Multilingually Empower LLM Reasoning? arXiv:2504.11833**Changjiang Gao, Xu Huang, Wenhao Zhu, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/gao-2025-could-thinking-multilingually-empower-llm/)
47. [**Implicit Reasoning in Large Language Models: A Comprehensive Survey arXiv:2509.02350**Jindong Li, Yali Fu, Li Fan, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-implicit-reasoning-large-language-models/)
48. **[Sarcasm Detection in a Disaster Context](https://md.research.elamur.ai/free/en/papers/sosea-2024-sarcasm-detection-disaster-context/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tiberiu Sosea, Junyi Jessy Li, Cornelia Caragea*2024 · 8 citations*
49. **[Chandler: An Explainable Sarcastic Response Generator](https://md.research.elamur.ai/free/en/papers/oprea-2021-chandler-explainable-sarcastic-response-generator/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Silviu Oprea, Steven Wilson, Walid Magdy*2021 · 8 citations*
50. [**Cutting Through the Noise: Boosting LLM Performance on Math Word Problems**Ujjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/anantheswaran-2024-cutting-through-noise-boosting-llm/)
51. **[Efficient Reasoning for LLMs through Speculative Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/wang-2026-efficient-reasoning-llms-through-speculative/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jikai Wang, Juntao Li, Jianye Hou, et al.*2026 · 6 citations*
52. **[Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning](https://md.research.elamur.ai/free/en/papers/yu-2026-enhancing-auto-regressive-chain-thought/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/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 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*
54. **[Understanding the Sarcastic Nature of Emojis with SarcOji](https://md.research.elamur.ai/free/en/papers/grover-2022-understanding-sarcastic-nature-emojis-sarcoji/) [International Workshop on Emoji Understanding and Applications in Social Media](https://md.research.elamur.ai/free/en/venues/emoji/)**Vandita Grover, Hema Banati*2022 · 5 citations*
55. [**Sarcasm in Sight and Sound: Benchmarking and Expansion to Improve Multimodal Sarcasm Detection arXiv:2310.01430**Swapnil Bhosale, Abhra Chaudhuri, Alex Lee Robert Williams, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/bhosale-2023-sarcasm-sight-sound-benchmarking-expansion/)
56. [**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/)
57. **[Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated Dataset](https://md.research.elamur.ai/free/en/papers/painter-2022-utilizing-weak-supervision-create-s3d/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Jordan Painter, Helen Treharne, Diptesh Kanojia*2022 · 4 citations*
58. [**Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literature arXiv:2106.05752 · In RAAI 2020. Advances in Intelligent Systems and Computing, vol 1355 (2021)**Sourav Das, Anup Kumar Kolya*2020 · 4 citations*](https://md.research.elamur.ai/free/en/papers/das-2021-parallel-deep-learning-driven-sarcasm/)
59. **[AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning Techniques](https://md.research.elamur.ai/free/en/papers/lotfy-2022-alexu-al-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Aya Lotfy, Marwan Torki, Nagwa El-Makky*2022 · 3 citations*
60. **[Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling](https://md.research.elamur.ai/free/en/papers/ajayan-2022-amrita-cen-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Aparna K Ajayan, Krishna Mohanan, Anugraha S, et al.*2022 · 3 citations*
61. **[Sarcasm Detection and Building an English Language Corpus in Real Time](https://md.research.elamur.ai/free/en/papers/andrews-2021-sarcasm-detection-building-english-language/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Oliver Cakebread-Andrews*2021 · 3 citations*
62. **[IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets](https://md.research.elamur.ai/free/en/papers/taylor-2018-iiidyt-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/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 Models](https://md.research.elamur.ai/free/en/papers/liu-2026-think-how-think-mitigating-overthinking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongjiang Liu, Haoxi Li, Xiaosong Ma, et al.*2026 · 2 citations*
64. **[BERT's The Word : Sarcasm Target Detection using BERT](https://md.research.elamur.ai/free/en/papers/parameswaran-2021-bert-s-word-sarcasm-target/) [Annual Workshop of the Australasian Language Technology Association (ALTA)](https://md.research.elamur.ai/free/en/venues/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 Analysis](https://md.research.elamur.ai/free/en/papers/steglich-2026-active-learning-corpus-refinement-cost/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jakob Steglich, Stephan Poppe*2026 · 1 citation*
66. **[SpiralThinker: Latent Reasoning through an Iterative Process with Text–Latent Interleaving](https://md.research.elamur.ai/free/en/papers/piao-2026-spiralthinker-latent-reasoning-through-iterative/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shengmin Piao, Sanghyun Park*2026 · 1 citation*
67. [**Personalized Intended and Perceived Sarcasm Detection on Twitter Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences**Joan Plepi, Magdalena Buski, Lucie Flek*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/plepi-2023-personalized-intended-perceived-sarcasm-detection/)
68. **[JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams](https://md.research.elamur.ai/free/en/papers/kerner-2022-jct-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yaakov HaCohen-Kerner, Matan Fchima, Ilan Meyrowitsch*2022 · 1 citation*
69. [**CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language Models arXiv:2603.09993**Jon Chun, Hannah Sussman, Adrian Mangine, et al.*2026*](https://md.research.elamur.ai/free/en/papers/chun-2026-cei-benchmark-evaluating-pragmatic-reasoning/)
70. **[Learning Shortcut Models for Efficient Recursive Reasoning](https://md.research.elamur.ai/free/en/papers/shankar-2026-learning-shortcut-models-efficient-recursive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shiv Shankar*2026*
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74. **[TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models](https://md.research.elamur.ai/free/en/papers/sivanaiah-2022-techssn-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton R, et al.*2022*

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