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Liangchen Luo
Liangchen Luo
Google DeepMind
在 google.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Adaptive Gradient Methods with Dynamic Bound of Learning Rate
L Luo, Y Xiong, Y Liu, X Sun
Proc. of ICLR 2019, 2019
8042019
Learning Personalized End-to-End Goal-Oriented Dialog
L Luo, W Huang, Q Zeng, Z Nie, X Sun
Proc. of AAAI 2019, 2019
972019
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
582019
Large-Scale Generative Data-Free Distillation
L Luo, M Sandler, Z Lin, A Zhmoginov, A Howard
arXiv preprint arXiv:2012.05578, 2020
522020
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
432018
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
352024
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
142023
Image Segmentation via Cellular Automata
M Sandler, A Zhmoginov, L Luo, A Mordvintsev, E Randazzo
arXiv preprint arXiv:2008.04965, 2020
142020
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
112024
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
102023
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
102023
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
32024
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
22021
Text Assisted Insight Ranking Using Context-Aware Memory Network
Q Zeng, L Luo, W Huang, Y Tang
Proc. of AAAI 2019, 2019
12019
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