Baldwin, Timothy

CMMLU: Measuring massive multitask language understanding in Chinese

Li, H., Zhang, Y., Koto, F., Yang, Y., Zhao, H., Gong, Y., Duan, N., & Baldwin, T. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 464

Text-Based Twitter User Geolocation Prediction

Han, B., Cook, P., & Baldwin, T. (2014) · Journal of Artificial Intelligence Research

Authorship Attribution and ProfilingHuman Mobility and Location-Based Analysis

Cited by 324

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

Augenstein, I., Baldwin, T., Cha, M., Chakraborty, T., Ciampaglia, G. L., Corney, D., DiResta, R., Ferrara, E., Hale, S., Halevy, A., et al. (2024) · Nature Machine Intelligence

Misinformation and Its ImpactsTopic Modeling

Cited by 187

‘Just What do You Think You’re Doing, Dave?’ A Checklist for Responsible Data Use in NLP

Rogers, A., Baldwin, T., & Leins, K. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Ethics and Social Impacts of AIResearch Data Management Practices

Cited by 53

Language models are not naysayers: an analysis of language models on negation benchmarks

Truong, T. H., Baldwin, T., Verspoor, K., & Cohn, T. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 34

Factuality Challenges in the Era of Large Language Models

Augenstein, I., Baldwin, T., Cha, M., Chakraborty, T., Ciampaglia, G. L., Corney, D., DiResta, R., Ferrara, E., Hale, S., Halevy, A., et al. (2023) · arXiv

Misinformation and Its ImpactsEthics and Social Impacts of AI

Cited by 32

Fact-checking the output of large language models via token-level uncertainty quantification

Fadeeva, E., Rubashevskii, A., Shelmanov, A., Petrakov, S., Li, H., Mubarak, H., Tsymbalov, E., Kuzmin, G., Panchenko, A., Baldwin, T., et al. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 29

A Joint Model for Multimodal Document Quality Assessment

Shen, A., Salehi, B., Baldwin, T., & Qi, J. (2019) · 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

Wikis in Education and CollaborationText Readability and Simplification

Cited by 24

Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression

Wang, Y., Beck, D., Baldwin, T., & Verspoor, K. (2022) · Transactions of the Association for Computational Linguistics

Machine Learning and AlgorithmsTopic Modeling

Cited by 23

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

Vashurin, R., Fadeeva, E., Vazhentsev, A., Rvanova, L., Vasilev, D., Tsvigun, A., Petrakov, S., Xing, R., Sadallah, A., Grishchenkov, K., et al. (2025) · Transactions of the Association for Computational Linguistics

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 21

Do-Not-Answer: Evaluating Safeguards in LLMs

Wang, Y., Li, H., Han, X., Nakov, P., & Baldwin, T. (2024) · Findings of the Association for Computational Linguistics: EACL 2024

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 21

LM-Polygraph: Uncertainty estimation for language models

Fadeeva, E., Vashurin, R., Tsvigun, A., Vazhentsev, A., Petrakov, S., Fedyanin, K., Vasilev, D., Goncharova, E., Panchenko, A., Panov, M., et al. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Natural Language Processing TechniquesTopic Modeling

Cited by 20

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

Yun, S., Lin, H., Thushara, R., Bhat, M. Q., Wang, Y., Jiang, Z., Deng, M., Wang, J., Tao, T., Li, J., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsSoftware Engineering Research

Cited by 8

ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic

Koto, F., Li, H., Shatnawi, S., Doughman, J., Sadallah, A. B., Alraeesi, A., Almubarak, K., Alyafeai, Z., Sengupta, N., Shehata, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

ToolGen: Unified Tool Retrieval and Calling via Generation

Wang, R., Han, X., Ji, L., Wang, S., Baldwin, T., & Li, H. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0