| Cosmos QA: Machine reading comprehension with contextual commonsense reasoning L Huang, RL Bras, C Bhagavatula, Y Choi arXiv preprint arXiv:1909.00277, 2019 | 425 | 2019 |
| A language-independent neural network for event detection X Feng, L Huang, D Tang, H Ji, B Qin, T Liu Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 331 | 2016 |
| Zero-shot transfer learning for event extraction L Huang, H Ji, K Cho, I Dagan, S Riedel, CR Voss ACL'2018, 2018 | 224 | 2018 |
| AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding X Ren, W He, M Qu, L Huang, H Ji, J Han | 172 | 2016 |
| Liberal Event Extraction and Event Schema Induction L Huang, T Cassidy, X Feng, H Ji, CR Voss, J Han, A Sil Proc. the 54th Annual Meeting of the Association for Computational …, 2016 | 155 | 2016 |
| Tracking state changes in procedural text: A challenge dataset and models for process paragraph comprehension BD Mishra*, L Huang*, N Tandon, W Yih, P Clark Conference of the North American Chapter of the Association for …, 2018 | 148 | 2018 |
| Trustllm: Trustworthiness in large language models L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ... ICML 2024, 2024 | 133 | 2024 |
| Biomedical Event Extraction based on Knowledge-driven Tree-LSTM D Li, L Huang, H Ji, J Han NAACL'2019, 2019 | 108 | 2019 |
| Bridging Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding Y Cao, L Huang, H Ji, X Chen, J Li | 108* | 2017 |
| MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning Z Xu, Y Shen, L Huang ACL'2023, 2023 | 84 | 2023 |
| Expertise-Aware Truth Analysis and Task Allocation in Mobile Crowdsourcing X Zhang, Y Wu, L Huang, H Ji, G Cao | 82 | 2017 |
| Entity-aware image caption generation D Lu, S Whitehead, L Huang, H Ji, SF Chang arXiv preprint arXiv:1804.07889, 2018 | 80 | 2018 |
| Semi-supervised new event type induction and event detection L Huang, H Ji Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 60 | 2020 |
| PaperRobot: Incremental draft generation of scientific ideas Q Wang, L Huang, Z Jiang, K Knight, H Ji, M Bansal, Y Luan arXiv preprint arXiv:1905.07870, 2019 | 60 | 2019 |
| Describing a knowledge base Q Wang, X Pan, L Huang, B Zhang, Z Jiang, H Ji, K Knight arXiv preprint arXiv:1809.01797, 2018 | 58 | 2018 |
| Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding S Wang, M Yu, S Chang, L Sun, L Huang Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 57 | 2022 |
| Improving event extraction via multimodal integration T Zhang, S Whitehead, H Zhang, H Li, J Ellis, L Huang, W Liu, H Ji, ... Proceedings of the 25th ACM international conference on Multimedia, 270-278, 2017 | 56 | 2017 |
| End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models BM Yao, A Shah, L Sun, JH Cho, L Huang The 46th International ACM SIGIR Conference on Research and Development in …, 2023 | 50 | 2023 |
| The future is not one-dimensional: Complex event schema induction by graph modeling for event prediction M Li, S Li, Z Wang, L Huang, K Cho, H Ji, J Han, C Voss arXiv preprint arXiv:2104.06344, 2021 | 50 | 2021 |
| ReviewRobot: Explainable paper review generation based on knowledge synthesis Q Wang, Q Zeng Proc. The 13th International Conference on Natural Language Generation …, 2020 | 50 | 2020 |
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon ScholarVerified email at illinois.edu
