| Cmmlu: Measuring massive multitask language understanding in chinese H Li, Y Zhang, F Koto, Y Yang, H Zhao, Y Gong, N Duan, T Baldwin arXiv preprint arXiv:2306.09212, 2023 | 217 | 2023 |
| Do-not-answer: A dataset for evaluating safeguards in llms Y Wang, H Li, X Han, P Nakov, T Baldwin arXiv preprint arXiv:2308.13387, 2023 | 147 | 2023 |
| A framework for few-shot language model evaluation L Gao, J Tow, B Abbasi, S Biderman, S Black, A DiPofi, C Foster, ... URL https://zenodo. org/records/10256836 7, 2023 | 98 | 2023 |
| Jais and jais-chat: Arabic-centric foundation and instruction-tuned open generative large language models N Sengupta, SK Sahu, B Jia, S Katipomu, H Li, F Koto, W Marshall, ... arXiv preprint arXiv:2308.16149, 2023 | 89 | 2023 |
| LLM360 K2: Scaling Up 360-Open-Source Large Language Models Z Liu, B Tan, H Wang, W Neiswanger, T Tao, H Li, F Koto, Y Wang, S Sun, ... arXiv e-prints, arXiv: 2501.07124, 2025 | 68* | 2025 |
| Bactrian-x: Multilingual replicable instruction-following models with low-rank adaptation H Li, F Koto, M Wu, AF Aji, T Baldwin arXiv preprint arXiv:2305.15011, 2023 | 58 | 2023 |
| Multispanqa: A dataset for multi-span question answering H Li, M Tomko, M Vasardani, T Baldwin Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 52 | 2022 |
| Fact-checking the output of large language models via token-level uncertainty quantification E Fadeeva, A Rubashevskii, A Shelmanov, S Petrakov, H Li, H Mubarak, ... arXiv preprint arXiv:2403.04696, 2024 | 38 | 2024 |
| Lessons from the trenches on reproducible evaluation of language models S Biderman, H Schoelkopf, L Sutawika, L Gao, J Tow, B Abbasi, AF Aji, ... arXiv preprint arXiv:2405.14782, 2024 | 37 | 2024 |
| Neural character-level dependency parsing for Chinese H Li, Z Zhang, Y Ju, H Zhao Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 34 | 2018 |
| Place questions and human-generated answers: A data analysis approach E Hamzei, H Li, M Vasardani, T Baldwin, S Winter, M Tomko Geospatial Technologies for Local and Regional Development: Proceedings of …, 2020 | 33 | 2020 |
| Arabicmmlu: Assessing massive multitask language understanding in arabic F Koto, H Li, S Shatnawi, J Doughman, AB Sadallah, A Alraeesi, ... arXiv preprint arXiv:2402.12840, 2024 | 28 | 2024 |
| Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU F Koto, N Aisyah, H Li, T Baldwin EMNLP 2023, 2023 | 28 | 2023 |
| Kfcnet: Knowledge filtering and contrastive learning network for generative commonsense reasoning H Li, Y Gong, J Jiao, R Zhang, T Baldwin, N Duan arXiv preprint arXiv:2109.06704, 2021 | 28 | 2021 |
| A framework for few-shot language model evaluation, 07 2024 L Gao, J Tow, B Abbasi, S Biderman, S Black, A DiPofi, C Foster, ... URL https://zenodo. org/records/12608602, 0 | 28 | |
| Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis S Fan, C Lin, H Li, Z Lin, J Su, H Zhang, Y Gong, J Guo, N Duan EMNLP 2022, 2022 | 25 | 2022 |
| Learning from failure: Integrating negative examples when fine-tuning large language models as agents R Wang, H Li, X Han, Y Zhang, T Baldwin arXiv preprint arXiv:2402.11651, 2024 | 19 | 2024 |
| Against The Achilles' Heel: A Survey on Red Teaming for Generative Models L Lin, H Mu, Z Zhai, M Wang, Y Wang, R Wang, J Gao, Y Zhang, W Che, ... Journal of Artificial Intelligence Research 82, 687-775, 2025 | 16 | 2025 |
| Neural factoid geospatial question answering H Li, E Hamzei, I Majic, H Hua, J Renz, M Tomko, M Vasardani, S Winter, ... Journal of Spatial Information Science, 65-90, 2021 | 15 | 2021 |
| Exams-v: A multi-discipline multilingual multimodal exam benchmark for evaluating vision language models RJ Das, SE Hristov, H Li, DI Dimitrov, I Koychev, P Nakov arXiv preprint arXiv:2403.10378, 2024 | 14 | 2024 |
Timothy BaldwinMBZUAI and The University of MelbourneZweryfikowany adres z unimelb.edu.au