| Tool Learning with Foundation Models Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, Y Huang, C Xiao, ... ACM Computing Survey, 2024 | 263 | 2024 |
| 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, ... NAACL (Best Demo Paper), 2021 | 162 | 2021 |
| Infosurgeon: Cross-media fine-grained information consistency checking for fake news detection Y Fung, C Thomas, RG Reddy, S Polisetty, H Ji, SF Chang, K McKeown, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 80 | 2021 |
| 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 NAACL (Outstanding Paper), 7106-7132, 2024 | 71* | 2024 |
| Creator: Tool creation for disentangling abstract and concrete reasoning of large language models C Qian, C Han, Y Fung, Y Qin, Z Liu, H Ji Findings of the Association for Computational Linguistics: EMNLP 2023, 6922-6939, 2023 | 70* | 2023 |
| RESIN: A Dockerlized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System H Wen, Y Lin, TM Lai, X Pan, S Li, X Lin, B Zhou, M Li, H Wang, H Zhang, ... NAACL 2021 (Demo Paper), 2021 | 66 | 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, M Fung, S Li, Z Huang, X Cao, X Wang, ... https://arxiv.org/pdf/2401.00812.pdf, 2025 | 58 | 2025 |
| Alzheimer's Disease Brain MRI Classification: Challenges and Insights YR Fung, Z Guan, R Kumar, JY Wu, M Fiterau Workshops at the Twenty-Eighth IJCAI International Joint Conference on …, 2019 | 53* | 2019 |
| ADEPT: A DEbiasing PrompT Framework K Yang, C Yu, YR Fung, M Li, H Ji AAAI, 2023 | 50 | 2023 |
| NormSage: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly YR Fung, T Charkraborty, H Guo, O Rambow, S Muresan, H Ji The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 | 49 | 2023 |
| CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets L Yuan, Y Chen, X Wang, YR Fung, H Peng, H Ji ICLR, 2024 | 44 | 2024 |
| NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge RR Gangi, S Chetan, Z Wang, YR Fung, K Conger, A Elsayed, M Palmer, ... EMNLP, 2022 | 38* | 2022 |
| Cross-document Misinformation Detection based on Event Graph Reasoning X Wu, KH Huang, YR Fung, H Ji NAACL, 2022 | 31 | 2022 |
| KompaRe: A Knowledge Graph Comparative Reasoning System L Liu, B Du, YR Fung, X Xu, H Ji, H Tong SIGKDD 2021 (Applied Data Science Track), 2021 | 30 | 2021 |
| Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning KH Huang, M Zhou, HP Chan, YR Fung, Z Wang, L Zhang, SF Chang, ... ACL, 2024 | 27 | 2024 |
| Enhance Chart Understanding via Visual Language Pre-training on Plot Table Pairs M Zhou, Y Fung, C Thomas, L Chen, H Ji, S Chang ACL Findings, 2023 | 27* | 2023 |
| 🌍 No Culture Left Behind: Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking Y Fung, R Zhao, J Doo, C Sun, H Ji arXiv preprint arXiv:2402.09369, 2024 | 26 | 2024 |
| Word Embeddings Are Steers for Language Models C Han, J Xu, M Li, Y Fung, C Sun, N Jiang, T Abdelzaher, H Ji ACL (Outstanding Paper), 16410-16430, 2024 | 21* | 2024 |
| Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting C Sun, J Li, Y Fung, HP Chan, T Abdelzaher, C Zhai, H Ji The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 | 19 | 2023 |
| The Battlefront of Combating Misinformation and Coping with Media Bias YR Fung, KH Huang, P Nakov, H Ji Proc. The 2nd Conference of the Asia-Pacific Chapter of the Association for …, 2022 | 19 | 2022 |
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon Scholar在 illinois.edu 的电子邮件经过验证
