Interpretable charge predictions for criminal cases: Learning to generate court views from fact descriptions H Ye, X Jiang, Z Luo, W Chao arXiv preprint arXiv:1802.08504, 2018 | 144 | 2018 |
Interpretable rationale augmented charge prediction system X Jiang, H Ye, Z Luo, WH Chao, W Ma Proceedings of the 27th international conference on computational …, 2018 | 82 | 2018 |
Interpretable charge prediction for criminal cases with dynamic rationale attention W Chao, X Jiang, Z Luo, Y Hu, W Ma Journal of Artificial Intelligence Research 66, 743-764, 2019 | 20 | 2019 |
Flm-101b: An open llm and how to train it with $100 k budget X Li, Y Yao, X Jiang, X Fang, X Meng, S Fan, P Han, J Li, L Du, B Qin, ... arXiv preprint arXiv:2309.03852, 2023 | 10 | 2023 |
Quantifying and attributing the hallucination of large language models via association analysis L Du, Y Wang, X Xing, Y Ya, X Li, X Jiang, X Fang arXiv preprint arXiv:2309.05217, 2023 | 7 | 2023 |
Dialogpaint: A dialog-based image editing model J Wei, S Wu, X Jiang, Y Wang arXiv preprint arXiv:2303.10073, 2023 | 3 | 2023 |
Claim retrieval in twitter W Ma, W Chao, Z Luo, X Jiang Web Information Systems Engineering–WISE 2018: 19th International Conference …, 2018 | 3 | 2018 |
Freelm: Fine-tuning-free language model X Li, X Jiang, X Meng, A Sun, Y Wang arXiv preprint arXiv:2305.01616, 2023 | 2 | 2023 |
CRST: a claim retrieval system in Twitter W Ma, WH Chao, Z Luo, X Jiang Proceedings of the 27th International Conference on Computational …, 2018 | 2 | 2018 |
Not all Layers of LLMs are Necessary during Inference S Fan, X Jiang, X Li, X Meng, P Han, S Shang, A Sun, Y Wang, Z Wang arXiv preprint arXiv:2403.02181, 2024 | 1 | 2024 |
The Extraction of Foreground Regions of the Moving Objects Based on Spatio-Temporal Information under a Static Camera Y Zhang, L Yu, S Li, G Wang, X Jiang, W Li Electronics 12 (15), 3346, 2023 | 1 | 2023 |
Tele-FLM Technical Report X Li, Y Yao, X Jiang, X Fang, C Wang, X Liu, Z Wang, Y Zhao, X Wang, ... arXiv preprint arXiv:2404.16645, 2024 | | 2024 |
NanoLM: An Affordable LLM Study Benchmark via Accurate Loss Prediction Across Scales X Huang, X Fang, Y Yao, X Li, Z Ni, X Jiang, X Meng, P Han, S Shang, ... | | 2023 |