Lei Shu

According to our database, Lei Shu authored at least 52 papers between 2013 and 2024.

Collaborative distances:

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

2024

WebQuest: A Benchmark for Multimodal QA on Web Page Sequences.

Maria Wang, Srinivas Sunkara, Gilles Baechler, Jason Lin, Yun Zhu, Fedir Zubach, Lei Shu, Jindong Chen

CoRR, 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

DRLC: Reinforcement Learning with Dense Rewards from LLM Critic.

Meng Cao, Lei Shu, Lei Yu, Yun Zhu, Nevan Wichers, Yinxiao Liu, Lei Meng

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

Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic.

Meng Cao, Lei Shu, Lei Yu, Yun Zhu, Nevan Wichers, Yinxiao Liu, Lei Meng

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

An Efficient Conversational Smart Compose System.

Yun Zhu, Xiayu Chen, Lei Shu, Bowen Tan, Xinying Song, Lijuan Liu, Maria Wang, Jindong Chen, Ning Ruan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Zero-Shot Aspect-Based Sentiment Analysis.

Lei Shu, Hu Xu, Bing Liu, Jiahua Chen

CoRR, 2022

Measuring and Reducing Model Update Regression in Structured Prediction for NLP.

Deng Cai, Elman Mansimov, Yi-An Lai, Yixuan Su, Lei Shu, Yi Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning.

Yixuan Su, Fangyu Liu, Zaiqiao Meng, Tian Lan, Lei Shu, Ehsan Shareghi, Nigel Collier

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Adapting a Language Model While Preserving its General Knowledge.

Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Continual Training of Language Models for Few-Shot Learning.

Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Open Set Recognition Via Augmentation-Based Similarity Learning.

Sepideh Esmaeilpour, Lei Shu, Bing Liu

Proceedings of the Conference on Lifelong Learning Agents, 2022

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System.

Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai, Yi Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP.

Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning.

Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, Nigel Collier

CoRR, 2021

Zero-Shot Open Set Detection by Extending CLIP.

Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu

CoRR, 2021

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning.

Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ODIST: Open World Classification via Distributionally Shifted Instances.

Lei Shu, Yassine Benajiba, Saab Mansour, Yi Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks.

Zixuan Ke, Bing Liu, Hu Xu, Lei Shu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Continual Learning with Knowledge Transfer for Sentiment Classification.

Zixuan Ke, Bing Liu, Hao Wang, Lei Shu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Controllable Text Generation with Focused Variation.

Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Understanding Pre-trained BERT for Aspect-based Sentiment Analysis.

Hu Xu, Lei Shu, Philip S. Yu, Bing Liu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

CoRR, 2019

Controlled CNN-based Sequence Labeling for Aspect Extraction.

Lei Shu, Hu Xu, Bing Liu

CoRR, 2019

Review Conversational Reading Comprehension.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

CoRR, 2019

Open-world Learning and Application to Product Classification.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

Proceedings of the World Wide Web Conference, 2019

Flexibly-Structured Model for Task-Oriented Dialogues.

Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Modeling Multi-Action Policy for Task-Oriented Dialogues.

Lei Shu, Hu Xu, Bing Liu, Piero Molino

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Learning to Accept New Classes without Training.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

CoRR, 2018

Unseen Class Discovery in Open-world Classification.

Lei Shu, Hu Xu, Bing Liu

CoRR, 2018

Lifelong Domain Word Embedding via Meta-Learning.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction.

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Dual Attention Network for Product Compatibility and Function Satisfiability Analysis.

Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge.

Hu Xu, Lei Shu, Philip S. Yu

CoRR, 2017

DOC: Deep Open Classification of Text Documents.

Lei Shu, Hu Xu, Bing Liu

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Product function need recognition via semi-supervised attention network.

Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Lifelong Learning CRF for Supervised Aspect Extraction.

Lei Shu, Hu Xu, Bing Liu

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion.

Hu Xu, Lei Shu, Jingyuan Zhang, Philip S. Yu

CoRR, 2016

Supervised Opinion Aspect Extraction by Exploiting Past Extraction Results.

Lei Shu, Bing Liu, Hu Xu, Annice Kim

CoRR, 2016

Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets.

Lei Shu, Bing Liu, Hu Xu, Annice Kim

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

CER: Complementary entity recognition via knowledge expansion on large unlabeled product reviews.

Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2013

Planning Paths with Fewer Turns on Grid Maps.

Hu Xu, Lei Shu, May Huang

Proceedings of the Sixth Annual Symposium on Combinatorial Search, 2013

High-speed and accurate laser scan matching using classified features.

Lei Shu, Hu Xu, May Huang

Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2013