| Tool Learning with Foundation Models Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, X Zhou, Y Huang, ... ACM Computing Surveys 57 (4), 40, 2024 | 273* | 2024 |
| LM-Infinite: Simple on-the-fly length generalization for large language models C Han, Q Wang, W Xiong, Y Chen, H Ji, S Wang arXiv preprint arXiv:2308.16137, 2023 | 146* | 2023 |
| Large language models on graphs: A comprehensive survey B Jin, G Liu, C Han, M Jiang, H Ji, J Han IEEE Transactions on Knowledge and Data Engineering, 2024 | 131 | 2024 |
| Learning Shared Semantic Space for Speech-to-Text Translation C Han, M Wang, H Ji, L Li ACL-IJCAI Findings 2021, 2021 | 81 | 2021 |
| Visual Concept-Metaconcept Learning C Han, J Mao, C Gan, J Tenenbaum, J Wu Advances in Neural Information Processing Systems (NeurIPS) 2019, 5002-5013, 2019 | 79 | 2019 |
| Creator: Tool creation for disentangling abstract and concrete reasoning of large language models C Qian, C Han, YR Fung, Y Qin, Z Liu, H Ji arXiv preprint arXiv:2305.14318, 2023 | 70* | 2023 |
| Explaining Emergent In-Context Learning as Kernel Regression C Han, Z Wang, H Zhao, H Ji arXiv preprint arXiv:2305.12766, 2023 | 48* | 2023 |
| Rcot: Detecting and rectifying factual inconsistency in reasoning by reversing chain-of-thought T Xue, Z Wang, Z Wang, C Han, P Yu, H Ji arXiv preprint arXiv:2305.11499, 2023 | 30 | 2023 |
| Word Embeddings Are Steers for Language Models C Han, J Xu, M Li, Y Fung, C Sun, N Jiang, T Abdelzaher, H Ji The 62nd Annual Meeting of the Association for Computational Linguistics …, 2024 | 22* | 2024 |
| LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning R Pan, X Liu, S Diao, R Pi, J Zhang, C Han, T Zhang arXiv preprint arXiv:2403.17919, 2024 | 20 | 2024 |
| Defining a new NLP playground S Li, C Han, P Yu, C Edwards, M Li, X Wang, YR Fung, C Yu, JR Tetreault, ... arXiv preprint arXiv:2310.20633, 2023 | 14 | 2023 |
| Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning C Han, Q He, C Yu, X Du, H Tong, H Ji International Conference on Learning Representations (ICLR 2023), 2023 | 9 | 2023 |
| Eliminating position bias of language models: A mechanistic approach Z Wang, H Zhang, X Li, KH Huang, C Han, S Ji, SM Kakade, H Peng, H Ji arXiv preprint arXiv:2407.01100, 2024 | 8 | 2024 |
| Birds of a feather flock together: A close look at cooperation emergence via multi-agent rl H Dong, T Wang, J Liu, C Han, C Zhang arXiv preprint arXiv:2104.11455, 2021 | 8 | 2021 |
| GAIA at SMKBP 2020-a dockerlized multi-media multi-lingual knowledge extraction, clustering, temporal tracking and hypothesis generation system M Li, Y Lin, TM Lai, X Pan, H Wen, S Li, Z Wang, P Yu, L Huang, D Lu, ... Proceedings of Thirteenth Text Analysis Conference (TAC 2020), 2020 | 8 | 2020 |
| Why Does New Knowledge Create Messy Ripple Effects in LLMs? J Qin, Z Zhang, C Han, M Li, P Yu, H Ji arXiv preprint arXiv:2407.12828, 2024 | 7 | 2024 |
| Zero-Shot Classification by Logical Reasoning on Natural Language Explanations C Han, H Pei, X Du, H Ji ACL-IJCAI Findings 2023, 2023 | 3 | 2023 |
| Towards lifespan cognitive systems Y Wang, C Han, T Wu, X He, W Zhou, N Sadeq, X Chen, Z He, W Wang, ... arXiv preprint arXiv:2409.13265, 2024 | 2 | 2024 |
| Understanding the effect of data augmentation on knowledge distillation Z Wang, C Han, W Bao, H Ji arXiv preprint arXiv:2305.12565, 2023 | 2 | 2023 |
| Learning to Generate Research Idea with Dynamic Control R Li, L Jing, C Han, J Zhou, X Du arXiv preprint arXiv:2412.14626, 2024 | 1 | 2024 |
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon ScholarVerified email at illinois.edu
