An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation. - Liangchen Luo; Jingjing Xu 001; Junyang Lin; Qi Zeng 001; Xu Sun 001 (EMNLP, 2018)

Learning Personalized End-to-End Goal-Oriented Dialog. - Liangchen Luo; Wenhao Huang 001; Qi Zeng 001; Zaiqing Nie; Xu Sun 001 (AAAI, 2019)

Text Assisted Insight Ranking Using Context-Aware Memory Network. - Qi Zeng 001; Liangchen Luo; Wenhao Huang 001; Yang Tang (AAAI, 2019)

Adaptive Gradient Methods with Dynamic Bound of Learning Rate. - Liangchen Luo; Yuanhao Xiong; Yan Liu; Xu Sun 001 (ICLR (Poster), 2019)

MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning. - Guangxiang Zhao; Xu Sun 001; Jingjing Xu 001; Zhiyuan Zhang 001; Liangchen Luo (CoRR, 2019)

Large-Scale Generative Data-Free Distillation. - Liangchen Luo; Mark Sandler 002; Zi Lin; Andrey Zhmoginov; Andrew Howard 002 (CoRR, 2020)

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)

RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting. - Lei Shu 004; Liangchen Luo; Jayakumar Hoskere; Yun Zhu; Canoee Liu; Simon Tong; Jindong Chen; Lei Meng 008 (CoRR, 2023)

Critique Ability of Large Language Models. - Liangchen Luo; Zi Lin; Yinxiao Liu; Lei Shu 004; Yun Zhu; Jingbo Shang; Lei Meng 008 (CoRR, 2023)

SiRA: Sparse Mixture of Low Rank Adaptation. - Yun Zhu; Nevan Wichers; Chu-Cheng Lin; Xinyi Wang 001; Tianlong Chen 001; Lei Shu 004; Han Lu; Canoee Liu; Liangchen Luo; Jindong Chen; Lei Meng 008 (CoRR, 2023)

Fusion-Eval: Integrating Evaluators with LLMs. - Lei Shu 004; Nevan Wichers; Liangchen Luo; Yun Zhu; Yinxiao Liu; Jindong Chen; Lei Meng 008 (CoRR, 2023)

RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting. - Lei Shu 004; Liangchen Luo; Jayakumar Hoskere; Yun Zhu; Yinxiao Liu; Simon Tong; Jindong Chen; Lei Meng 008 (AAAI, 2024)

Fusion-Eval: Integrating Assistant Evaluators with LLMs. - Lei Shu 004; Nevan Wichers; Liangchen Luo; Yun Zhu; Yinxiao Liu; Jindong Chen; Lei Meng 008 (EMNLP (Industry Track), 2024)

Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. - Zihan Wang 001; Yunxuan Li; Yuexin Wu; Liangchen Luo; Le Hou; Hongkun Yu 001; Jingbo Shang (EMNLP (Findings), 2024)

Towards an On-device Agent for Text Rewriting. - Yun Zhu; Yinxiao Liu; Felix Stahlberg; Shankar Kumar; Yu-Hui Chen; Liangchen Luo; Lei Shu 004; Renjie Liu; Jindong Chen; Lei Meng 008 (NAACL-HLT (Findings), 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 004; Yun Zhu; Lei Meng 008; 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 004; Liangchen Luo; Lei Meng 008; Bang Liu; Jindong Chen (ICLR, 2025)