| Dola: Decoding by contrasting layers improves factuality in large language models YS Chuang, Y Xie, H Luo, Y Kim, J Glass, P He arXiv preprint arXiv:2309.03883, 2023 | 229 | 2023 |
| DiffCSE: Difference-based contrastive learning for sentence embeddings YS Chuang, R Dangovski, H Luo, Y Zhang, S Chang, M Soljačić, SW Li, ... arXiv preprint arXiv:2204.10298, 2022 | 227 | 2022 |
| Listen, think, and understand Y Gong, H Luo, AH Liu, L Karlinsky, J Glass arXiv preprint arXiv:2305.10790, 2023 | 140 | 2023 |
| Online learning of interpretable word embeddings H Luo, Z Liu, H Luan, M Sun Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 76 | 2015 |
| Joint audio and speech understanding Y Gong, AH Liu, H Luo, L Karlinsky, J Glass 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 59 | 2023 |
| Halc: Object hallucination reduction via adaptive focal-contrast decoding Z Chen, Z Zhao, H Luo, H Yao, B Li, J Zhou arXiv preprint arXiv:2403.00425, 2024 | 47 | 2024 |
| Sail: Search-augmented instruction learning H Luo, YS Chuang, Y Gong, T Zhang, Y Kim, X Wu, D Fox, H Meng, ... arXiv preprint arXiv:2305.15225, 2023 | 43 | 2023 |
| Rq-rag: Learning to refine queries for retrieval augmented generation CM Chan, C Xu, R Yuan, H Luo, W Xue, Y Guo, J Fu arXiv preprint arXiv:2404.00610, 2024 | 40 | 2024 |
| DrMAD: distilling reverse-mode automatic differentiation for optimizing hyperparameters of deep neural networks J Fu, H Luo, J Feng, KH Low, TS Chua arXiv preprint arXiv:1601.00917, 2016 | 35 | 2016 |
| Interpretable unified language checking T Zhang, H Luo, YS Chuang, W Fang, L Gaitskell, T Hartvigsen, X Wu, ... arXiv preprint arXiv:2304.03728, 2023 | 32 | 2023 |
| Chain of thought prompt tuning in vision language models J Ge, H Luo, S Qian, Y Gan, J Fu, S Zhang arXiv preprint arXiv:2304.07919, 2023 | 30 | 2023 |
| Mitigating biases in toxic language detection through invariant rationalization YS Chuang, M Gao, H Luo, J Glass, H Lee, YN Chen, SW Li arXiv preprint arXiv:2106.07240, 2021 | 20 | 2021 |
| Learning word representations with cross-sentence dependency for end-to-end co-reference resolution H Luo, J Glass Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 17 | 2018 |
| Improving neural language models by segmenting, attending, and predicting the future H Luo, L Jiang, Y Belinkov, J Glass arXiv preprint arXiv:1906.01702, 2019 | 13 | 2019 |
| Search augmented instruction learning H Luo, T Zhang, YS Chuang, Y Gong, Y Kim, X Wu, H Meng, J Glass Findings of the Association for Computational Linguistics: EMNLP 2023, 3717-3729, 2023 | 12 | 2023 |
| Logic against bias: Textual entailment mitigates stereotypical sentence reasoning H Luo, J Glass arXiv preprint arXiv:2303.05670, 2023 | 12 | 2023 |
| Cooperative Self-training of Machine Reading Comprehension H Luo, SW Li, M Gao, S Yu, J Glass arXiv preprint arXiv:2103.07449, 2022 | 11 | 2022 |
| Bidirectional backpropagation: Towards biologically plausible error signal transmission in neural networks H Luo, J Fu, J Glass arXiv preprint arXiv:1702.07097, 2017 | 11 | 2017 |
| Natural language embedded programs for hybrid language symbolic reasoning T Zhang, J Ge, H Luo, YS Chuang, M Gao, Y Gong, X Wu, Y Kim, H Meng, ... arXiv preprint arXiv:2309.10814, 2023 | 10 | 2023 |
| Prototypical q networks for automatic conversational diagnosis and few-shot new disease adaption H Luo, SW Li, J Glass arXiv preprint arXiv:2005.11153, 2020 | 10 | 2020 |
James GlassMIT Computer Science and Artificial Intelligence Laboratory在 mit.edu 的電子郵件地址已通過驗證
