| CLIP-Event: Connecting text and images with event structures M Li, R Xu, S Wang, L Zhou, X Lin, C Zhu, M Zeng, H Ji, SF Chang 🌟 Oral at CVPR 2022, 16420-16429, 2022 | 192 | 2022 |
| COVID-19 literature knowledge graph construction and drug repurposing report generation Q Wang, M Li, X Wang, N Parulian, G Han, J Ma, J Tu, Y Lin, H Zhang, ... 🌟 Best Demo Paper at NAACL 2021, 2020 | 187 | 2020 |
| Language models with image descriptors are strong few-shot video-language learners Z Wang*, M Li*, R Xu, L Zhou, J Lei, X Lin, S Wang, Z Yang, C Zhu, ... Advances in Neural Information Processing Systems 35, 8483-8497, 2022 | 183 | 2022 |
| Keep meeting summaries on topic: Abstractive multi-modal meeting summarization M Li, L Zhang, H Ji, RJ Radke Proceedings of the 57th annual meeting of the association for computational …, 2019 | 180 | 2019 |
| Embodied agent interface: Benchmarking llms for embodied decision making M Li, S Zhao, Q Wang, K Wang, Y Zhou, S Srivastava, C Gokmen, T Lee, ... 🌟 Oral at NeurIPS D&B, Best Paper at SoCal NLP 2024 37, 100428-100534, 2024 | 158 | 2024 |
| GAIA: A fine-grained multimedia knowledge extraction system M Li, A Zareian, Y Lin, X Pan, S Whitehead, B Chen, B Wu, H Ji, ... 🌟 Best Demo Paper at ACL 2020, 77-86, 2020 | 156* | 2020 |
| M2E2: Cross-media structured common space for multimedia event extraction M Li, A Zareian, Q Zeng, S Whitehead, D Lu, H Ji, SF Chang Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 145* | 2020 |
| Connecting the dots: Event graph schema induction with path language modeling M Li, Q Zeng, Y Lin, K Cho, H Ji, J May, N Chambers, C Voss Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 112 | 2020 |
| Empirical Methods in Natural Language Processing System Demonstrations DIH Farías, T Hope, M Li Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 109 | 2024 |
| RESIN: A dockerized schema-guided cross-document cross-lingual cross-media information extraction and event tracking system H Wen, Y Lin, T Lai, X Pan, S Li, X Lin, B Zhou, M Li, H Wang, H Zhang, ... Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 105* | 2021 |
| HallE-Control: controlling object hallucination in large multimodal models B Zhai, S Yang, C Xu, S Shen, K Keutzer, C Li, M Li arXiv preprint arXiv:2310.01779, 2023 | 97* | 2023 |
| EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents R Yang, H Chen, J Zhang, M Zhao, C Qian, K Wang, Q Wang, ... 🌟 Oral at ICML 2025, 2025 | 95 | 2025 |
| 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 Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 95* | 2021 |
| RAGEN: Understanding Self-evolution in LLM Agents via Multi-turn Reinforcement Learning Z Wang, K Wang, Q Wang, P Zhang, L Li, Z Yang, X Jin, K Yu, MN Nguyen, ... 🌟 Best Poster Award at Midwest ML Symposium 2025; arXiv preprint arXiv:2504 …, 2025 | 93 | 2025 |
| Hourvideo: 1-hour video-language understanding K Chandrasegaran, A Gupta, LM Hadzic, T Kota, J He, C Eyzaguirre, ... Advances in Neural Information Processing Systems 37, 53168-53197, 2024 | 88 | 2024 |
| LM-Steer: Word embeddings are steers for language models C Han, J Xu, M Li, Y Fung, C Sun, N Jiang, T Abdelzaher, H Ji 🌟 Outstanding Paper at ACL 2024, 2023 | 76* | 2023 |
| Adept: A debiasing prompt framework K Yang, C Yu, YR Fung, M Li, H Ji Proceedings of the AAAI conference on artificial intelligence 37 (9), 10780 …, 2023 | 75 | 2023 |
| The law of knowledge overshadowing: Towards understanding, predicting, and preventing llm hallucination Y Zhang, S Li, C Qian, J Liu, P Yu, C Han, YR Fung, K McKeown, C Zhai, ... arXiv preprint arXiv:2502.16143, 2025 | 72* | 2025 |
| Can llms produce faithful explanations for fact-checking? towards faithful explainable fact-checking via multi-agent debate K Kim, S Lee, KH Huang, HP Chan, M Li, H Ji arXiv preprint arXiv:2402.07401, 2024 | 61 | 2024 |
| Link prediction in knowledge graphs: A hierarchy-constrained approach M Li, Y Wang, D Zhang, Y Jia, X Cheng IEEE Transactions on Big Data 8 (3), 630-643, 2018 | 58* | 2018 |
Heng JiProfessor of CS@UIUC, Co-Founder&CTO of Medicas AI, ACL Fellow, Founding Director of AICE and ASKSVerified email at illinois.edu
