Liangchen Luo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Top Venues

Publications

Lei Shu, Liangchen Luo, Jayakumar Hoskere, Yun Zhu, Yinxiao Liu, Simon Tong, Jindong Chen, Lei Meng
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting. AAAI (2024)
Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection. CoRR (2024)
Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. CoRR (2024)
Liangchen Luo, Yinxiao Liu, Rosanne Liu, Samrat Phatale, Harsh Lara, Yunxuan Li, Lei Shu, Yun Zhu, Lei Meng, Jiao Sun, Abhinav Rastogi
Improve Mathematical Reasoning in Language Models by Automated Process Supervision. CoRR (2024)
Yun Zhu, Yinxiao Liu, Felix Stahlberg, Shankar Kumar, Yu-Hui Chen, Liangchen Luo, Lei Shu, Renjie Liu, Jindong Chen, Lei Meng
Towards an On-device Agent for Text Rewriting. CoRR (2023)
Lei Shu, Nevan Wichers, Liangchen Luo, Yun Zhu, Yinxiao Liu, Jindong Chen, Lei Meng
Fusion-Eval: Integrating Evaluators with LLMs. CoRR (2023)
Yun Zhu, Nevan Wichers, Chu-Cheng Lin, Xinyi Wang, Tianlong Chen, Lei Shu, Han Lu, Canoee Liu, Liangchen Luo, Jindong Chen, Lei Meng
SiRA: Sparse Mixture of Low Rank Adaptation. CoRR (2023)
Liangchen Luo, Zi Lin, Yinxiao Liu, Lei Shu, Yun Zhu, Jingbo Shang, Lei Meng
Critique Ability of Large Language Models. CoRR (2023)
Lei Shu, Liangchen Luo, Jayakumar Hoskere, Yun Zhu, Canoee Liu, Simon Tong, Jindong Chen, Lei Meng
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting. CoRR (2023)
Marco Fornoni, Chaochao Yan, Liangchen Luo, Kimberly Wilber, Alex Stark, Yin Cui, Boqing Gong, Andrew G. Howard
Bridging the Gap Between Object Detection and User Intent via Query-Modulation. CoRR (2021)
Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard
Large-Scale Generative Data-Free Distillation. CoRR (2020)
Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang
Text Assisted Insight Ranking Using Context-Aware Memory Network. AAAI (2019)
Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun
Adaptive Gradient Methods with Dynamic Bound of Learning Rate. ICLR (Poster) (2019)
Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun
Learning Personalized End-to-End Goal-Oriented Dialog. AAAI (2019)
Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun
Adaptive Gradient Methods with Dynamic Bound of Learning Rate. CoRR (2019)
Guangxiang Zhao, Xu Sun, Jingjing Xu, Zhiyuan Zhang, Liangchen Luo
MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning. CoRR (2019)
Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation. CoRR (2018)
Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang
Text Assisted Insight Ranking Using Context-Aware Memory Network. CoRR (2018)
Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation. EMNLP (2018)
Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun
Learning Personalized End-to-End Goal-Oriented Dialog. CoRR (2018)