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Tsendsuren Munkhdalai

Tsendsuren Munkhdalai has 3 papers in our library, in 2020–2026, most of them on Language models & pretraining, Speech & spoken language, Reasoning; often with Adam Trischler, Alessandro Sordoni, Andrew Mattarella-Micke.

3 papers in our library · 2020–2026

OpenAlex · ORCID · Wikidata · h-index 23 · 70 works · 2,285 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 269 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #5622

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Google DeepMindLondon · United Kingdom2026 · 1 papercurrent🏢GoogleMountain View · United States2021–2025 · 16 papers🏢Microsoft Research MontréalMontreal · Canada2018–2020 · 9 papers🎓Chungbuk National UniversityCheongju-si · South Korea2011–2015 · 9 papers🏢MicrosoftRedmond · United States2018–2021 · 7 papers🎓University of Massachusetts AmherstAmherst Center · United States2016–2020 · 5 papers🏢IntuitMountain View · United States2020 · 2 papers🎓University of Massachusetts Chan Medical SchoolWorcester · United States2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.English · 1 workSpeech & spoken language · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20231 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Exploring and Predicting Transferability across NLP Tasks (2020 · 198 citations)
    Fine-tuning BERT on an intermediate task before the target task can help, but it was unclear when this works and which source task to pick.
  2. Improving Speech Recognition for African American English With Audio Classification (2023 · 6 citations)
    Commercial speech recognizers make noticeably more errors on African American English (AAE) than on Mainstream American English (MAE).
  3. Do LLMs Really Need 10+ Thoughts for “Find the Time 1000 Days Later”? Towards Structural Understanding of LLM Overthinking (2026 · 4 citations)
    Reasoning-oriented LLMs often produce very long chains of thought even for trivial questions, such as simple arithmetic or date calculations.

All works

7 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Exploring and Predicting Transferability across NLP TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Tu Vu, Tong Wang, Tsendsuren Munkhdalai, et al.2020 · 198 citations
  2. Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetTrapit Bansal et al.2020 · 120 citations
  3. Sentence Simplification with Memory-Augmented Neural Networks ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yetTu Vu et al.2018 · 87 citations
  4. Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention ↗arXiv:2404.07143 · no summary yetTsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal2024 · 80 citations
  5. What Matters for Model Merging at Scale? ↗arXiv (Cornell University) · no summary yetYadav, Prateek et al.2024 · 15 citations
  6. Improving Speech Recognition for African American English With Audio ClassificationIEEE International Conference on Acoustics Speech and Signal ProcessingShefali Garg, Zhouyuan Huo, Khe Chai Sim, et al.2023 · 6 citations
  7. Do LLMs Really Need 10+ Thoughts for “Find the Time 1000 Days Later”? Towards Structural Understanding of LLM OverthinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Xinliang Frederick Zhang, Anhad Mohananey, Alexandra Chronopoulou, et al.2026 · 4 citations

 Co-authors here

11 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 269 times (of the 149,439 papers whose bibliographies we read); 42 citing papers with a page here →.

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