Adaptive Gradient Methods with Dynamic Bound of Learning Rate L Luo, Y Xiong, Y Liu, X Sun Proc. of ICLR 2019, 2019 | 804 | 2019 |
Learning Personalized End-to-End Goal-Oriented Dialog L Luo, W Huang, Q Zeng, Z Nie, X Sun Proc. of AAAI 2019, 2019 | 97 | 2019 |
MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning G Zhao, X Sun, J Xu, Z Zhang, L Luo arXiv preprint arXiv:1911.09483, 2019 | 58 | 2019 |
Large-Scale Generative Data-Free Distillation L Luo, M Sandler, Z Lin, A Zhmoginov, A Howard arXiv preprint arXiv:2012.05578, 2020 | 52 | 2020 |
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation L Luo, J Xu, J Lin, Q Zeng, X Sun Proc. of EMNLP 2018, 702--707, 2018 | 43 | 2018 |
Improve Mathematical Reasoning in Language Models by Automated Process Supervision L Luo, Y Liu, R Liu, S Phatale, H Lara, Y Li, L Shu, Y Zhu, L Meng, J Sun, ... arXiv preprint arXiv:2406.06592, 2024 | 37* | 2024 |
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting L Shu, L Luo, J Hoskere, Y Zhu, Y Liu, S Tong, J Chen, L Meng Proc. of AAAI 2024 38 (17), 18970-18980, 2024 | 35 | 2024 |
SiRA: Sparse Mixture of Low Rank Adaptation Y Zhu, N Wichers, CC Lin, X Wang, T Chen, L Shu, H Lu, C Liu, L Luo, ... arXiv preprint arXiv:2311.09179, 2023 | 14 | 2023 |
Image Segmentation via Cellular Automata M Sandler, A Zhmoginov, L Luo, A Mordvintsev, E Randazzo arXiv preprint arXiv:2008.04965, 2020 | 14 | 2020 |
Multi-Step Problem Solving Through A Verifier: An Empirical Analysis on Model-Induced Process Supervision Z Wang, Y Li, Y Wu, L Luo, L Hou, H Yu, J Shang Proc. of EMNLP (Findings) 2024, 2024 | 11 | 2024 |
Critique Ability of Large Language Models L Luo, Z Lin, Y Liu, L Shu, Y Zhu, J Shang, L Meng arXiv preprint arXiv:2310.04815, 2023 | 10 | 2023 |
Towards an On-Device Agent for Text Rewriting Y Zhu, Y Liu, F Stahlberg, S Kumar, Y Chen, L Luo, L Shu, R Liu, J Chen, ... Proc. of NAACL (Findings) 2024, 2023 | 10 | 2023 |
Fusion-Eval: Integrating Assistant Evaluators with LLMs L Shu, N Wichers, L Luo, Y Zhu, Y Liu, J Chen, L Meng Proc. of EMNLP (Industry Track) 2024, 225-238, 2024 | 5* | 2024 |
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection Y Zhu, JC Gu, C Sikora, H Ko, Y Liu, CC Lin, L Shu, L Luo, L Meng, B Liu, ... arXiv preprint arXiv:2405.16178, 2024 | 3 | 2024 |
Bridging the Gap Between Object Detection and User Intent via Query-Modulation M Fornoni, C Yan, L Luo, K Wilber, A Stark, Y Cui, B Gong, A Howard arXiv preprint arXiv:2106.10258, 2021 | 2 | 2021 |
Text Assisted Insight Ranking Using Context-Aware Memory Network Q Zeng, L Luo, W Huang, Y Tang Proc. of AAAI 2019, 2019 | 1 | 2019 |