| Explainability for large language models: A survey H Zhao, H Chen, F Yang, N Liu, H Deng, H Cai, S Wang, D Yin, M Du ACM Transactions on Intelligent Systems and Technology 15 (2), 1-38, 2024 | 431 | 2024 |
| Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection H Chen, G Zheng, Y Ji The 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020 | 111 | 2020 |
| Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers H Chen, Y Ji The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 | 68 | 2020 |
| Squarylium and rubrene based filterless narrowband photodetectors for an all-organic two-channel visible light communication system W Li, S Li, L Duan, H Chen, L Wang, G Dong, Z Xu Organic Electronics 37, 346-351, 2016 | 50 | 2016 |
| A 51.6 Mb/s experimental VLC system using a monochromic organic LED H Chen, Z Xu, Q Gao, S Li IEEE Photonics Journal 10 (2), 1-12, 2017 | 48 | 2017 |
| Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing S Sinha, H Chen, A Sekhon, Y Ji, Y Qi EMNLP BlackboxNLP Workshop 2021, 2021 | 41 | 2021 |
| REV: Information-Theoretic Evaluation of Free-Text Rationales H Chen, F Brahman, X Ren, Y Ji, Y Choi, S Swayamdipta The 61th Annual Meeting of the Association for Computational Linguistics (ACL), 2023 | 33* | 2023 |
| OLED panel radiation pattern and its impact on VLC channel characteristics H Chen, Z Xu IEEE Photonics Journal 10 (2), 1-10, 2017 | 31 | 2017 |
| Volterra-based nonlinear equalization for nonlinearity mitigation in organic VLC X Li, H Chen, S Li, Q Gao, C Gong, Z Xu 2017 13th International Wireless Communications and Mobile Computing …, 2017 | 29 | 2017 |
| Adversarial training for improving model robustness? Look at both prediction and interpretation H Chen, Y Ji Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10463 …, 2022 | 24 | 2022 |
| Improving the explainability of neural sentiment classifiers via data augmentation H Chen, Y Ji NeurIPS 2019 Workshop on Robust AI in Financial Services, 2019 | 24* | 2019 |
| Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks H Chen, S Feng, J Ganhotra, H Wan, C Gunasekara, S Joshi, Y Ji 2021 Annual Conference of the North American Chapter of the Association for …, 2021 | 23 | 2021 |
| A 1.9 Mbps OFDM-based all-organic visible light communication system H Chen, S Li, B Huang, Z Xu, W Li, G Dong, J Xie 2016 IEEE International Conference on Communication Systems (ICCS), 1-6, 2016 | 19 | 2016 |
| Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions H Chen, Z Fang, Y Singla, M Dredze 2025 Annual Conference of the Nations of the Americas Chapter of the …, 2025 | 18 | 2025 |
| Will the real linda please stand up... to large language models? examining the representativeness heuristic in llms P Wang, Z Xiao, H Chen, FL Oswald The First Conference on Language Modeling (COLM), 2024 | 13* | 2024 |
| A two-dimensional constellation design method for visible light communications with signal-dependent shot noise H Chen, Z Xu IEEE Communications Letters 22 (9), 1786-1789, 2018 | 12 | 2018 |
| KNIFE: Distilling Reasoning Knowledge From Free-Text Rationales A Chan, Z Zeng, W Lake, B Joshi, H Chen, X Ren arXiv preprint arXiv:2212.09721, 2022 | 10* | 2022 |
| Explanation in the Era of Large Language Models Z Zhu, H Chen, X Ye, Q Lyu, C Tan, A Marasović, S Wiegreffe Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 7 | 2024 |
| Explaining predictive uncertainty by looking back at model explanations H Chen, W Du, Y Ji arXiv preprint arXiv:2201.03742, 2022 | 6* | 2022 |
| Language and Multimodal Models in Sports: A Survey of Datasets and Applications H Xia, Z Yang, Y Zhao, Y Wang, J Li, R Tracy, Z Zhu, Y Wang, H Chen, ... arXiv preprint arXiv:2406.12252, 2024 | 5 | 2024 |
Yangfeng JiComputer Science, University of VirginiaVerificeret mail på virginia.edu