| MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback X Wang, Z Wang, J Liu, Y Chen, L Yuan, H Peng, H Ji Proceedings of the International Conference on Learning Representations …, 2023 | 123 | 2023 |
| Executable code actions elicit better LLM agents X Wang, Y Chen, L Yuan, Y Zhang, Y Li, H Peng, H Ji arXiv preprint arXiv:2402.01030, 2024 | 121 | 2024 |
| Code4Struct: Code Generation for Few-Shot Event Structure Prediction X Wang, S Li, H Ji Proceedings of the 61st Annual Meeting of the Association for Computational …, 2022 | 121* | 2022 |
| Advancing llm reasoning generalists with preference trees L Yuan, G Cui, H Wang, N Ding, X Wang, J Deng, B Shan, H Chen, R Xie, ... arXiv preprint arXiv:2404.02078, 2024 | 82 | 2024 |
| OpenHands: An Open Platform for AI Software Developers as Generalist Agents X Wang, B Li, Y Song, FF Xu, X Tang, M Zhuge, J Pan, Y Song, B Li, ... arXiv preprint arXiv:2407.16741, 2024 | 78 | 2024 |
| Towards scalable distributed training of deep learning on public cloud clusters S Shi, X Zhou, S Song, X Wang, Z Zhu, X Huang, X Jiang, F Zhou, Z Guo, ... Proceedings of Machine Learning and Systems 3, 401-412, 2021 | 70 | 2021 |
| If LLM is the Wizard, then Code is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents K Yang, J Liu, J Wu, C Yang, YR Fung, S Li, Z Huang, X Cao, X Wang, ... arXiv preprint arXiv:2401.00812, 2024 | 69 | 2024 |
| Potato: The portable text annotation tool J Pei, A Ananthasubramaniam, X Wang, N Zhou, J Sargent, A Dedeloudis, ... Proceedings of the The 2022 Conference on Empirical Methods in Natural …, 2022 | 54 | 2022 |
| CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets L Yuan, Y Chen, X Wang, YR Fung, H Peng, H Ji Proceedings of the International Conference on Learning Representations …, 2023 | 52 | 2023 |
| R-tuning: Teaching large language models to refuse unknown questions H Zhang, S Diao, Y Lin, YR Fung, Q Lian, X Wang, Y Chen, H Ji, T Zhang Proceedings of the 2024 Annual Conference of the North American Chapter of …, 2023 | 49 | 2023 |
| R-tuning: Instructing large language models to say ‘I don’t know’ H Zhang, S Diao, Y Lin, Y Fung, Q Lian, X Wang, Y Chen, H Ji, T Zhang Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 37 | 2024 |
| LETI: Learning to Generate from Textual Interactions X Wang, H Peng, R Jabbarvand, H Ji Findings of the Association for Computational Linguistics: NAACL 2024, 2023 | 31 | 2023 |
| Sayself: Teaching llms to express confidence with self-reflective rationales T Xu, S Wu, S Diao, X Liu, X Wang, Y Chen, J Gao Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 19 | 2024 |
| Defining a New NLP Playground S Li, C Han, P Yu, C Edwards, M Li, X Wang, YR Fung, C Yu, JR Tetreault, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 14 | 2023 |
| A single transformer for scalable vision-language modeling Y Chen, X Wang, H Peng, H Ji Transactions on Machine Learning Research, 2024 | 10 | 2024 |
| Tinyzero J Pan, J Zhang, X Wang, L Yuan, H Peng, A Suhr | 9 | 2025 |
| ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation Y Chen, X Wang, M Li, D Hoiem, H Ji Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 9 | 2023 |
| An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog X Wang, D Jurgens Findings of the Association for Computational Linguistics: EMNLP 2021, 2021 | 7 | 2021 |
| Training Software Engineering Agents and Verifiers with SWE-Gym J Pan, X Wang, G Neubig, N Jaitly, H Ji, A Suhr, Y Zhang arXiv preprint arXiv:2412.21139, 2024 | 6 | 2024 |
| Text-based reasoning about vector graphics Z Wang, J Hsu, X Wang, KH Huang, M Li, J Wu, H Ji arXiv e-prints, arXiv: 2404.06479, 2024 | 6 | 2024 |
Heng JiProfessor of Computer Science, AICE Director, ASKS Director, UIUC, Amazon ScholarVerified email at illinois.edu
