🧑‍🔬 Who cites Tsendsuren Munkhdalai

269 citations of their works from 262 papers of our library (of the 149,439 whose bibliographies we read) · 42 with a page here, the most cited first · ← Tsendsuren Munkhdalai

1. Making Pre-trained Language Models Better Few-shot LearnersAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Adam Fisch, Danqi Chen2021 · 1,987 citations
2. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,612 citations
3. The Flan Collection: Designing Data and Methods for Effective Instruction TuningarXiv:2301.13688Shayne Longpre, Le Hou, Tu Vu, et al.2023 · 607 citations
4. Editing Models with Task ArithmeticarXiv:2212.04089Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 402 citations
5. A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Michael A. Hedderich, Lukas Lange, Heike Adel, et al.2021 · 401 citations
6. SPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 306 citations
7. Parameter-efficient Multi-task Fine-tuning for Transformers via Shared HypernetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, et al.2021 · 258 citations
8. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationarXiv:2212.12017Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 244 citations
9. EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Yue Dong, Zichao Li, Mehdi Rezagholizadeh, et al.2019 · 244 citations
10. Noisy Channel Language Model Prompting for Few-Shot Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.2021 · 243 citations
11. Data-Driven Sentence Simplification: Survey and BenchmarkComputational LinguisticsFernando Alva-Manchego, Carolina Scarton, Lucia Specia2020 · 213 citations
12. Merging Models with Fisher-Weighted AveragingConference on Neural Information Processing Systems (NeurIPS)Michael Matena, Colin Raffel2021 · 208 citations
13. MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse AttentionConference on Neural Information Processing Systems (NeurIPS)Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, et al.2024 · 202 citations
14. Aya Expanse: Combining Research Breakthroughs for a New Multilingual FrontierarXiv:2412.04261John Dang, Shivalika Singh, Daniel D'souza, et al.2024 · 184 citations
15. Controllable Text Simplification with Explicit ParaphrasingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mounica Maddela, Fernando Alva-Manchego, Wei Xu2021 · 164 citations
16. The (Un)Suitability of Automatic Evaluation Metrics for Text SimplificationComputational LinguisticsFernando Alva-Manchego, Carolina Scarton, Lucia Specia2021 · 156 citations
17. What to Pre-Train on? Efficient Intermediate Task SelectionConference on Empirical Methods in Natural Language Processing (EMNLP)Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, et al.2021 · 132 citations
18. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryConference on Neural Information Processing Systems (NeurIPS)Chaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 126 citations
19. ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Akari Asai, Mohammadreza Salehi, Matthew Peters, et al.2022 · 122 citations
20. English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer TooConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Jason Phang, Iacer Calixto, Phu Mon Htut, et al.2020 · 70 citations
21. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
22. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
23. Kimi Linear: An Expressive, Efficient Attention ArchitecturearXiv:2510.26692Kimi Team, Yu Zhang, Zongyu Lin, et al.2025 · 51 citations
24. The SAMER Arabic Text Simplification CorpusLanguage Resources and Evaluation Conference (LREC)Bashar Alhafni, Reem Hazim, Juan David Pineros Liberato, et al.2024 · 30 citations
25. Distilling an End-to-End Voice Assistant Without Instruction Training DataAnnual Meeting of the Association for Computational Linguistics (ACL)William Held, Yanzhe Zhang, Minzhi Li, et al.2025 · 18 citations
26. Linearizing Large Language ModelsarXiv:2405.06640Jean Mercat, Igor Vasiljevic, Sedrick Keh, et al.2024 · 16 citations
27. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations
28. Self-supervised Speech Representations Still Struggle with African American Vernacular EnglishInterspeechKalvin Chang, Yi-Hui Chou, Jiatong Shi, et al.2024 · 10 citations
29. Nature-Inspired Population-Based Evolution of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yiqun Zhang, Peng Ye, Xiaocui Yang, et al.2026 · 8 citations
30. Fine-tuning Large Language Models with Limited Data: A Survey and Practical GuideTransactions of the Association for Computational Linguistics (TACL)Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.2026 · 7 citations
31. CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA CapabilityConference on Empirical Methods in Natural Language Processing (EMNLP)Han Peng, Jinhao Jiang, Zican Dong, et al.2025 · 4 citations
32. When More Thinking Hurts: Overthinking in LLM Test-Time Compute ScalingFindings of the Association for Computational LinguisticsShu Zhou, Rui Ling, Junan Chen, et al.2026 · 2 citations
33. Why Do More Experts Fail? A Theoretical Analysis of Model MergingAnnual Meeting of the Association for Computational Linguistics (ACL)Zijing Wang, Xingle Xu, YongKang Liu, et al.2026 · 2 citations
34. Family Matters: Language Transfer and Merging for Adapting Small LLMs to FaroesearXiv:2510.00810Jenny Kunz, Iben Nyholm Debess, Annika Simonsen2025 · 2 citations
35. When Do Large Language Models Exhibit Unsolicited Deception?Transactions of the Association for Computational Linguistics (TACL)Samuel M. Taylor, Benjamin K. Bergen2026 · 1 citation
36. An Empirical Analysis of Task Relations in the Multi-Task Annotation of an Arabizi CorpusConference on Language, Data and KnowledgeElisa Gugliotta, Marco Dinarelli2023 · 1 citation
37. DivMerge: A divergence-based model merging method for multi-taskingConference of the European Chapter of the Association for Computational Linguistics (EACL)Brahim Touayouch, Loïc Fosse, Géraldine Damnati, et al.2026
38. Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in FinanceLanguage Resources and Evaluation Conference (LREC)Kentaro Ueda, François Portet, Hirohiko Suwa, et al.2026
39. Opportunities and Challenges of LLMs in Education: An NLP PerspectiveWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.2026
40. Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text SimplificationFindings of the Association for Computational LinguisticsPeng Zhou, Guangxin Li, Xiaoying Huang, et al.2026
41. Tree-Notebook: A Context-Aware Agent with Tree Search and Entropy-Aware Data Shadow for Interactive Data ScienceFindings of the Association for Computational LinguisticsJunkun Qiu, Min Huang, Qinghai Miao2026
42. Will it Merge? On The Causes of Model MergeabilityFindings of the Association for Computational LinguisticsAdir Rahamim, Asaf Yehudai, Boaz Carmeli, et al.2026

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