Liangchen Luo

According to our database, Liangchen Luo authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improve Mathematical Reasoning in Language Models by Automated Process Supervision.

Liangchen Luo, Yinxiao Liu, Rosanne Liu, Samrat Phatale, Harsh Lara, Yunxuan Li, Lei Shu, Yun Zhu, Lei Meng, Jiao Sun, Abhinav Rastogi

CoRR, 2024

Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection.

Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen

CoRR, 2024

Towards an On-device Agent for Text Rewriting.

Yun Zhu, Yinxiao Liu, Felix Stahlberg, Shankar Kumar, Yu-Hui Chen, Liangchen Luo, Lei Shu, Renjie Liu, Jindong Chen, Lei Meng

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.

Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Fusion-Eval: Integrating Assistant Evaluators with LLMs.

Lei Shu, Nevan Wichers, Liangchen Luo, Yun Zhu, Yinxiao Liu, Jindong Chen, Lei Meng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting.

Lei Shu, Liangchen Luo, Jayakumar Hoskere, Yun Zhu, Yinxiao Liu, Simon Tong, Jindong Chen, Lei Meng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Fusion-Eval: Integrating Evaluators with LLMs.

Lei Shu, Nevan Wichers, Liangchen Luo, Yun Zhu, Yinxiao Liu, Jindong Chen, Lei Meng

CoRR, 2023

SiRA: Sparse Mixture of Low Rank Adaptation.

Yun Zhu, Nevan Wichers, Chu-Cheng Lin, Xinyi Wang, Tianlong Chen, Lei Shu, Han Lu, Canoee Liu, Liangchen Luo, Jindong Chen, Lei Meng

CoRR, 2023

Critique Ability of Large Language Models.

Liangchen Luo, Zi Lin, Yinxiao Liu, Lei Shu, Yun Zhu, Jingbo Shang, Lei Meng

CoRR, 2023

RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting.

Lei Shu, Liangchen Luo, Jayakumar Hoskere, Yun Zhu, Canoee Liu, Simon Tong, Jindong Chen, Lei Meng

CoRR, 2023

2021

Bridging the Gap Between Object Detection and User Intent via Query-Modulation.

Marco Fornoni, Chaochao Yan, Liangchen Luo, Kimberly Wilber, Alex Stark, Yin Cui, Boqing Gong, Andrew G. Howard

CoRR, 2021

2020

Large-Scale Generative Data-Free Distillation.

Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard

CoRR, 2020

2019

MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning.

Guangxiang Zhao, Xu Sun, Jingjing Xu, Zhiyuan Zhang, Liangchen Luo

CoRR, 2019

Adaptive Gradient Methods with Dynamic Bound of Learning Rate.

Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun

Proceedings of the 7th International Conference on Learning Representations, 2019

Text Assisted Insight Ranking Using Context-Aware Memory Network.

Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Personalized End-to-End Goal-Oriented Dialog.

Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation.

Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018