Timothy Baldwin

Active 1991–2026

508
Papers
19,451
Citations
66
h-index
263
i10-index

Citations

Citations per year for Timothy Baldwin1905: 1 citations1967: 3 citations1969: 3 citations1985: 1 citations1988: 4 citations1992: 6 citations1993: 13 citations1994: 34 citations1995: 53 citations1996: 35 citations1997: 19 citations1998: 23 citations1999: 21 citations2000: 22 citations2001: 29 citations2002: 21 citations2003: 39 citations2004: 64 citations2005: 66 citations2006: 86 citations2007: 83 citations2008: 117 citations2009: 153 citations2010: 173 citations2011: 191 citations2012: 277 citations2013: 421 citations2014: 619 citations2015: 617 citations2016: 780 citations2017: 847 citations2018: 951 citations2019: 976 citations2020: 1,050 citations2021: 1,004 citations2022: 646 citations2023: 789 citations2024: 812 citations2025: 993 citations2026: 396 citations1906–1966: no citations, so these years are not shown1968: no citations, so this year is not shown1970–1984: no citations, so these years are not shown1986–1987: no citations, so these years are not shown1989–1991: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,266 citing papers, 20.6% of this breakdownChina: 1,159 citing papers, 10.5% of this breakdownUnited Kingdom: 815 citing papers, 7.4% of this breakdownGermany: 597 citing papers, 5.4% of this breakdownAustralia: 579 citing papers, 5.3% of this breakdownIndia: 420 citing papers, 3.8% of this breakdownJapan: 374 citing papers, 3.4% of this breakdownFrance: 361 citing papers, 3.3% of this breakdownCanada: 341 citing papers, 3.1% of this breakdownItaly: 329 citing papers, 3% of this breakdownSpain: 275 citing papers, 2.5% of this breakdownNetherlands: 228 citing papers, 2.1% of this breakdown
0%20.6%Other 29.6%

Fields

  • Computer Science74.7%
  • Social Sciences8.6%
  • Biochemistry, Genetics and Molecular Biology4.8%
  • Medicine2.4%
  • Physics and Astronomy2.1%
  • Psychology1.5%
  • Other5.9%

Topics

  • Topic Modeling18.4%
  • Natural Language Processing Techniques14.5%
  • Advanced Text Analysis Techniques5.7%
  • Sentiment Analysis and Opinion Mining3%
  • Speech and dialogue systems2.3%
  • Text Readability and Simplification2.1%
  • Other54%

Coauthors

All papers

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  1. CMMLU: Measuring massive multitask language understanding in Chinese

    Authors: , , , , , , , - Findings of the Association for Computational Linguistics ACL 2024, ACL (Findings) 2024 cited by 301

  2. Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

    Authors: , , , , - arXiv (Cornell University), CoRR 2023 cited by 142

  3. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Timothy Baldwin, Eric P. Xing - arXiv (Cornell University), CoRR 2023 cited by 147

  4. Factuality challenges in the era of large language models and opportunities for fact-checking

    Authors: , , , , , , , , , , , , , , , , , - Nature Machine Intelligence, Nat. Mac. Intell. 2024 cited by 123

  5. Bactrian-X : A Multilingual Replicable Instruction-Following Model with Low-Rank Adaptation

    Authors: , , , , - arXiv (Cornell University), CoRR 2023 cited by 78

  6. Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

    Authors: , , , , , , , , , , , - Findings of the Association for Computational Linguistics ACL 2024, ACL (Findings) 2024 cited by 66

  7. Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality

    Authors: , , - Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014 cited by 576

  8. Factuality Challenges in the Era of Large Language Models

    Authors: , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 68

  9. Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting

    Authors: , , , - arXiv (Cornell University), CoRR 2024 cited by 46

  10. Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents

    Authors: , , , , - arXiv (Cornell University), CoRR 2024 cited by 41

  11. Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings

    Authors: , , , - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL-HLT 2024 cited by 41

  12. ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic

    Authors: , , , , , , , , , , , , - Findings of the Association for Computational Linguistics ACL 2024, ACL (Findings) 2024 cited by 38

  13. Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph

    Authors: , , , , , , , , , , , , , , - Transactions of the Association for Computational Linguistics, Trans. Assoc. Comput. Linguistics 2024 cited by 38

  14. LM-Polygraph: Uncertainty Estimation for Language Models

    Authors: , , , , , , , , , , , - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP (Demos) 2023 cited by 38

  15. Against The Achilles' Heel: A Survey on Red Teaming for Generative Models

    Authors: , , , , , , , , , , , - Journal of Artificial Intelligence Research, J. Artif. Intell. Res. 2025 cited by 36

  16. Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs

    Authors: , , , , , , , , , , , , , , , , - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 75

  17. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

    Authors: , , , , - Empirical Methods in Natural Language Processing 2013 cited by 423

  18. ToolGen: Unified Tool Retrieval and Calling via Generation

    Authors: , , , , , - ICLR 2025 cited by 77

  19. BiMediX: Bilingual Medical Mixture of Experts LLM

    Authors: , , , , , , - Findings of the Association for Computational Linguistics: EMNLP 2024, EMNLP (Findings) 2024 cited by 28

  20. Proceedings of the Fourteenth Workshop on Semantic Evaluation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Alicia Krebs, Egoitz Laparra, Els Lefever, Alessandro Lenci, Maria Liakata, Iñigo López-Gazpio, Wei Lü, Montse Maritxalar, Tristan Miller, Ashutosh Modi, Saif M. Mohammad, Alessandro Moschitti, Hamdy Mubarak, Preslav Nakov, Roberto Navigli, Sergio Oramas, Simon Ostermann, Gustavo Henrique Paetzold, Denis Paperno, Tommaso Pasini, Viviana Patti, Mohammad Taher Pilehvar, Maria Pontiki, Marten Postma, Peter Potash, James Pustejovsky, Behrang QasemiZadeh, Alan Ritter, Alexey Romanov, Francesco Ronzano, Sara Rosenthal, Anna Rumshisky, Horacio Sag- Gion, Mohammad Salameh, Juliano Efson Sales, Anne-Kathrin Schumann, Piek Vossen, Henning Wachsmuth, Haïfa Zargayouna, Manel Zarrouk, Arkaitz Zubiaga, Just ; Hr, Al-Smadi Mohammad, Kk, Kristian Nrgaard Jensen, Nicolaj Filrup Rasmussen, Thai Wang, Marco Placenti, Barbara, Nuaa-Qmul At Semeval, Prhlt-Upv At Semeval, Elmo-Nb At Semeval, Semeval Mlengineer, Gaku Hitachi At Semeval ; Morishita, Shota Morio, Hiroaki Horiguchi, Toshinori Ozaki, Miyoshi, Mayukh Sharma, Ilanthenral Kandasamy, W Vasantha, Ayrton Amaral, Ndia Silva, Anderson Da, Silva Soares, Team_Swift At, Semeval, Marcos Zampieri, Preslav Nakov, Sara Rosenthal and 22 more - 2020 cited by 61

  21. Language models are not naysayers: An analysis of language models on negation benchmarks

    Authors: , , , - Joint Conference on Lexical and Computational Semantics (*SEM 2023), *SEM@ACL 2023 cited by 28

  22. Control Illusion: The Failure of Instruction Hierarchies in Large Language Models

    Authors: , , , , , , , - AAAI Conference on Artificial Intelligence 2026 cited by 20

  23. CQADupStack: A Benchmark Data Set for Community Question-Answering Research

    Authors: , , - Australasian Document Computing Symposium, ADCS 2015 cited by 76

  24. Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Alexander Fraser, Iryna Gurevych, Chin-Yew Lin, David Mcclosky, Yusuke Miyao, Tou Hwee, Slav Ng, Simone Petrov, Sebas- Tian Ponzetto, Verena Riedel, Helmut Rieser, Izhak Schmid, Hiroya Shafran, Lucy Takamura, Vanderwende, Fadi Abu-Sheika, Meni Adler, Nitish Aggarwal, Lars Ahrenberg, Yaser Al-Onaizan, Yasemin Altun, Waleed Ammar, Jacob Andreas, Ion Androutsopoulos, Gabor Angeli, Mihael Ar- Can, Yoav Artzi, Jordi Atserias Batalla, Michael Auli, Harald Baayen, Timothy Baldwin, David Bamman, Mohit Bansal, Loc Barrault, Nria Bel, Kedar Bellare, Islam Belt- Agy, Luciana Benotti, Yinon Bentor, Jonathan Berant, Sabine Bergler, Raffaella Bernardi, Klin- Ton Bicknell, Chris Biemann, Arianna Bisazza, Yonatan Bisk, Roi Blanco, Michael Bloodgood, Phil Blunsom, Nathan Bodenstab, Branimir Boguraev, Bernd Bohnet, Gemma Boleda, Danushka Bollegala, Francis Bond, Kalina Bontcheva, Johan Bos, Houda Bouamor, Thorsten Brants, Chlo Braud, Fabienne Braune, Chris Brew, Ted Briscoe, Julian Brooke, Marco Brunello, Paul Buite- Laar, Harry Bunt, Aljoscha Burchardt, David Burkett, Stephan Busemann and 1,085 more - 2014 cited by 148