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<!DOCTYPE HTML>
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<title>Lei Shu (舒蕾) - Homepage</title>
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<h2 style="display:inline; color: #76D7C4">Selected Papers</h3><p style="display:inline"> (<a href="https://scholar.google.com/citations?user=Q0zkC-kAAAAJ&hl=en">full list at Google Scholar</a>)</p>
<br>
<h3 style="display:inline; ">2024</h3><p style="display:inline">
<ul style="list-style-type:circle; line-height:200%;">
<li style="margin-bottom: 1em;"><strong>RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting</strong><br>
<b>Lei Shu</b>, Liangchen Luo, Jayakumar Hoskere, Yun Zhu, Canoee Liu, Simon Tong, Jindong Chen, Lei Meng<br>
<em>AAAI 2024</em>
<small>[<a href="https://ojs.aaai.org/index.php/AAAI/article/view/29863">paper</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Fusion-Eval: Integrating Assistant Evaluators with LLMs</strong><br>
<b>Lei Shu</b>, Nevan Wichers, Liangchen Luo, Yun Zhu, Yinxiao Liu, Jindong Chen, Lei Meng<br>
<em>EMNLP 2024 Industry</em>
<small>
[<a href="https://aclanthology.org/2024.emnlp-industry.18.pdf">ACL</a>]
</small>
</li>
<li style="margin-bottom: 1em;"><strong>Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic</strong><br>
Meng Cao, <b>Lei Shu</b>, Lei Yu, Yun Zhu, Nevan Wichers, Yinxiao Liu, Lei Meng<br>
<em>EMNLP 2024 Main</em>
<small>
[<a href="https://aclanthology.org/2024.emnlp-main.515.pdf">ACL</a>]
</small>
</li>
<li style="margin-bottom: 1em;"><strong>Improve Mathematical Reasoning in Language Models by Automated Process Supervision</strong><br>
Liangchen Luo, Yinxiao Liu, Rosanne Liu, Samrat Phatale, Harsh Lara, Yunxuan Li, <b>Lei Shu</b>, Yun Zhu, Lei Meng, Jiao Sun, Abhinav Rastogi<br>
<em>arXiv:2406.06592</em>
<small>
[<a href="https://arxiv.org/pdf/2406.06592">arXiv</a>]
</small>
</li>
<li style="margin-bottom: 1em;"><strong>Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection</strong><br>
Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, <b>Lei Shu</b>, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen<br>
<em>arXiv:2405.16178</em>
<small>
[<a href="https://arxiv.org/pdf/2405.16178">arXiv</a>]
</small>
</li>
<li style="margin-bottom: 1em;"><strong>Towards an On-device Agent for Text Rewriting</strong><br>
Yun Zhu, Yinxiao Liu, Felix Stahlberg, Shankar Kumar, Yu-Hui Chen, Liangchen Luo, <b>Lei Shu</b>, Renjie Liu, Jindong Chen, Lei Meng<br>
<em>NAACL 2024 Findings</em>
<small>
[<a href="https://aclanthology.org/2024.findings-naacl.163.pdf">paper</a>]
</small>
</li>
</ul>
<h3 style="display:inline; ">2023</h3><p style="display:inline">
<ul style="list-style-type:circle; line-height:200%;">
<li style="margin-bottom: 1em;"><strong>Critique ability of large language models</strong><br>
Liangchen Luo, Zi Lin, Yinxiao Liu, <b>Lei Shu</b>, Yun Zhu, Jingbo Shang, Lei Meng<br>
<em>arXiv:2310.04815</em>
<small>
[<a href="https://arxiv.org/pdf/2310.04815">preprint</a>]
</small>
</li>
<li style="margin-bottom: 1em;"><strong>Sira: Sparse mixture of low rank adaptation</strong><br>
Yun Zhu, Nevan Wichers, Chu-Cheng Lin, Xinyi Wang, Tianlong Chen, <b>Lei Shu</b>, Han Lu, Canoee Liu, Liangchen Luo, Jindong Chen, Lei Meng<br>
<em>arXiv:2311.09179</em>
<small>
[<a href="https://arxiv.org/pdf/2311.09179">preprint</a>]
</small>
</li>
<li style="margin-bottom: 1em;"><strong>An Efficient Conversational Smart Compose System</strong><br>
Yun Zhu, Xiayu Chen, <b>Lei Shu</b>, Bowen Tan, Xinying Song, Lijuan Liu, Maria Wang, Jindong Chen, Ning Ruan<br>
<em>ACL 2023 Demo</em>
<small>
[<a href="https://aclanthology.org/2023.acl-demo.43.pdf">paper</a>]
</small>
</li>
</ul>
<h3 style="display:inline; ">2022</h3><p style="display:inline">
<ul style="list-style-type:circle; line-height:200%;">
<li style="margin-bottom: 1em;"><strong>Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System</strong><br>
Yixuan Su, <b>Lei Shu</b>, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai, Yi Zhang<br>
<em>ACL 2022</em>
<small>[<a href="https://arxiv.org/abs/2109.14739">preprint</a>]</small>
<small>[<a href="https://raw.githubusercontent.com/leishu02/leishu02.github.io/master/bibs/pptod2021_arxiv.bib">bib</a>]</small>
<small>[<a href="https://github.com/awslabs/pptod">code</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning</strong><br>
Yixuan Su, Fangyu Liu, Zaiqiao Meng, Tian Lan, <b>Lei Shu</b>, Ehsan Shareghi, Nigel Collier<br>
<em>NAACL 2022</em>
<small>[<a href="https://arxiv.org/abs/2111.04198">preprint</a>]</small>
<small>[<a href="https://github.com/yxuansu/TaCL">code</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Zero-Shot Out-of-Distribution Detection Based on the Pretrained Model CLIP</strong><br>
Sepideh Esmaeilpour, Bing Liu, Eric Robertson, <b>Lei Shu</b><br>
<em>AAAI 2022</em>
<small>[<a href="https://www.aaai.org/AAAI22Papers/AAAI-10297.EsmaeilpourS.pdf">paper</a>]</small>
<small>[<a href="https://raw.githubusercontent.com/leishu02/leishu02.github.io/master/bibs/aaai2022_zoclip.bib">bib</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Measuring and Reducing Model Update Regression in Structured Prediction for NLP</strong><br>
Deng Cai, Elman Mansimov, Yi-An Lai, Yixuan Su, <b>Lei Shu</b>, Yi Zhang<br>
<em>NeurIPS 2022</em>
<small>[<a href="https://arxiv.org/abs/2202.02976">preprint</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Continual Training of Language Models for Few-Shot Learning</strong><br>
Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, <b>Lei Shu</b>, Bing Liu<br>
<em>EMNLP 2022</em>
<small>[<a href="https://arxiv.org/abs/2210.05549">preprint</a>]</small>
<small>[<a href="https://github.com/UIC-Liu-Lab/CPT" >code</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Adapting a Language Model While Preserving its General Knowledge</strong><br>
Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, <b>Lei Shu</b>, Bing Liu<br>
<em>EMNLP 2022</em>
<small>[<a href="https://arxiv.org/abs/2301.08986">preprint</a>]</small>
<small>[<a href="https://github.com/UIC-Liu-Lab/DGA">code</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Zero-Shot Aspect-Based Sentiment Analysis</strong><br>
<b>Lei Shu</b>, Hu Xu, Bing Liu, Jiahua Chen<br>
<em>arXiv:2202.01924</em>
<small>[<a href="https://arxiv.org/abs/2202.01924">preprint</a>]</small>
</li>
</ul>
<h3 style="display:inline; ">2021</h3><p style="display:inline">
<ul style="list-style-type:circle; line-height:200%;">
<li style="margin-bottom: 1em;"><strong>ODIST: Open World Classification via Distributionally Shifted Instances</strong><br>
<b>Lei Shu</b>, Yassine Benajiba, Saab Mansour, Yi Zhang<br>
<em>EMNLP Findings 2021 </em>
<small>[<a href="https://assets.amazon.science/f7/52/58fc45444cf08d440b71f08d1628/odist-open-world-classification-via-distributionally-shifted-instances.pdf">paper</a>]</small>
<small>[<a href="https://raw.githubusercontent.com/leishu02/leishu02.github.io/master/bibs/odist2021_emnlp.bib">bib</a>]</small>
<small>[<a href="https://raw.githubusercontent.com/leishu02/leishu02.github.io/master/videos/ODIST.m4v">video</a>]</small>
<!--[<a href="https://github.com/awslabs/pptod">code</a>][<a href="https://leishu02.github.io/pdfs/gCAS_poster.pdf">poster</a>]
-->
</li>
<li style="margin-bottom: 1em;"><strong>CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks</strong><br>
Zixuan Ke, Bing Liu, Hu Xu, <b>Lei Shu</b><br>
<em>EMNLP 2021 </em>
<small>[<a href="https://github.com/ZixuanKe/PyContinual">code</a>]</small>
<small>[<a href="https://raw.githubusercontent.com/leishu02/leishu02.github.io/master/bibs/classic2021_emnlp.bib">bib</a>]</small>
<!--[<a href="https://leishu02.github.io/pdfs/gCAS_poster.pdf">poster</a>]
-->
</li>
<li style="margin-bottom: 1em;"><strong>Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning</strong><br>
Zixuan Ke, Bing Liu, Nainzu Ma, Hu Xu, <b>Lei Shu</b><br>
<em>NeurIPS 2021 </em>
<small>[<a href="https://github.com/ZixuanKe/PyContinual">code</a>]</small>
<!--<small>[<a href="https://raw.githubusercontent.com/leishu02/leishu02.github.io/master/bibs/classic2021_emnlp.bib">bib</a>]</small>[<a href="https://leishu02.github.io/pdfs/gCAS_poster.pdf">poster</a>]
-->
</li>
</ul>
<h3 style="display:inline; ">2020</h3><p style="display:inline">
<ul style="list-style-type:circle; line-height:200%;">
<li style="margin-bottom: 1em;"><strong>Understanding Pre-trained BERT for Aspect-based Sentiment Analysis</strong><br>
Hu Xu, <b>Lei Shu</b>, Philip S Yu, Bing Liu<br>
<em>COLING 2020</em>
<small>[<a href="https://arxiv.org/pdf/2011.00169.pdf">preprint</a>]</small>
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-->
</li>
<li style="margin-bottom: 1em; "><strong>Controllable Text Generation with Focused Variation</strong><br>
<b>Lei Shu</b>, Alexandros Papangelis, Yi-Chia Wang, Gokhan Tur, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino<br>
<em>EMNLP Findings 2020</em>
<small>[<a href="https://arxiv.org/abs/2009.12046">preprint</a>]</small>
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-->
</li>
<li style="margin-bottom: 1em;"><strong>DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis</strong><br>
Hu Xu, Bing Liu, <b>Lei Shu</b>, Philip S Yu<br>
<em>EMNLP Findings 2020</em>
<small>[<a href="https://arxiv.org/abs/2004.13816">preprint</a>]</small>
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-->
</li>
<li style="margin-bottom: 1em;"><strong>Learning a Sequence of Sentiment Classification Tasks</strong><br>
Zixuan Ke, Bing Liu, Hao Wang and <b>Lei Shu</b><br>
<em>ECML-PKDD 2020</em>
<small>[<a href="https://www.cs.uic.edu/~liub/publications/ECML-PKDD-2020.pdf">preprint</a>][<a href="https://raw.githubusercontent.com/leishu02/leishu02.github.io/master/bibs/ecml2020.bib">bib</a>][<a href="https://github.com/ZixuanKe/LifelongSentClass">code</a>]</small>
</li>
</ul>
<h3 style="display:inline">2019</h3><p style="display:inline">
<ul style="list-style-type:circle; line-height:200%;">
<li style="margin-bottom: 1em;"><strong>Modeling Multi-Action Policy for Task-Oriented Dialogues</strong><br>
<b>Lei Shu</b>, Hu Xu, Bing Liu, Piero Molino (Special thanks go to Alexandros Papangelis and Gokhan Tur)<br>
<em>EMNLP 2019</em> <small>[<a href="https://arxiv.org/abs/1908.11546">preprint</a>][<a href="https://raw.githubusercontent.com/leishu02/leishu02.github.io/master/bibs/emnlp2019_gCAS.bib">bib</a>][<a href="https://github.com/leishu02/EMNLP2019_gCAS">code</a>][<a href="https://leishu02.github.io/pdfs/gCAS_poster.pdf">poster</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Flexibly-Structured Model for Task-Oriented Dialogues</strong><br>
<b>Lei Shu</b>, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gokhan Tur<br>
<em>SIGDIAL 2019</em> <small>[<a href="http://arxiv.org/abs/1908.02402">preprint</a>][<a href="https://raw.githubusercontent.com/leishu02/leishu02.github.io/master/bibs/sigdial2019_FSDM.bib">bib</a>][<a href="https://leishu02.github.io/pdfs/FSDM_SIGDIAL2019.pdf">slides</a>][<a href="https://github.com/uber-research/FSDM/">code</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
</strong><br>
Hu Xu, Bing Liu, <b>Lei Shu</b>, Philip S. Yu<br>
<em>NAACL 2019</em> <small>[<a href="https://arxiv.org/abs/1904.02232">preprint</a>][<a href="https://github.com/howardhsu/BERT-for-RRC-ABSA">code</a>][<a href="https://drive.google.com/file/d/1NGH5bqzEx6aDlYJ7O3hepZF4i_p4iMR8/view">dataset</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Open-world Learning and Application to Product Classification</strong><br>
Hu Xu, Bing Liu, <b>Lei Shu</b>, P. Yu<br>
<em>WWW 2019</em> <small>[<a href="https://arxiv.org/abs/1809.06004">preprint</a>][<a href="https://github.com/howardhsu/Meta-Open-World-Learning">code</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Controlled CNN-based sequence labeling for aspect extraction</strong><br>
<b>Lei Shu</b>, Hu Xu, Bing Liu<br>
<em>arXiv 2019</em>
<small>[<a href="https://arxiv.org/abs/1905.06407">preprint</a>]</small>
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<li style="margin-bottom: 1em;"><strong>A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution</strong><br>
Hu Xu, Bing Liu, <b>Lei Shu</b>, Philip S Yu<br>
<em>arXiv 2019</em>
<small>[<a href="https://arxiv.org/abs/1911.01460">preprint</a>]</small>
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</li>
</ul>
<h3 style="display:inline">2018</h3><p style="display:inline">
<ul style="list-style-type:circle; line-height:200%;">
<li style="margin-bottom: 1em;"><strong>Incorporating the Structure of the Belief State in End-to-End Task-Oriented Dialogue Systems</strong><br>
<b>Lei Shu</b>, Piero Molino, Mahdi Namazifar, Bing Liu, Hu Xu, Huaixiu Zheng, Gokhan Tur<br>
<em>NeurIPS 2018 Conversational AI Workshop</em> <small>[<a href="http://alborz-geramifard.com/workshops/nips18-Conversational-AI/Papers/18convai-Incorporating%20the%20Structure.pdf">paper</a>][<a href="https://raw.githubusercontent.com/leishu02/leishu02.github.io/master/bibs/nips2018_workshop.bib">bib</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction</strong> <br>
<font color="#FBA77F">(Yelp Dataset Challenge Round 12 Grand Prize award)</font> <br>
Hu Xu, Bing Liu, <b>Lei Shu</b>, Philip S. Yu<br>
<em>ACL 2018</em> <small>[<a href="https://aclweb.org/anthology/P18-2094">paper</a>][<a href="https://aclweb.org/anthology/papers/P/P18/P18-2094.bib">bib</a>][<a href="https://drive.google.com/file/d/12Pj5LkKnE_XQKIRABiviqgspA5DB1Zfn/view">in-domain embedding</a>][<a href="https://github.com/howardhsu/DE-CNN">code</a>][<a href="https://www.cs.uic.edu/~hxu/ACL_poster.pdf">poster</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Lifelong Domain Word Embedding via Meta-Learning</strong><br>
Hu Xu, Bing Liu, <b>Lei Shu</b>, Philip S. Yu<br>
<em>IJCAI 2018</em> <small>[<a href="https://www.ijcai.org/proceedings/2018/0627.pdf">paper</a>][<a href="https://www.cs.uic.edu/~hxu/ijcai2018_bib.bib">bib</a>][<a href="https://www.cs.uic.edu/~hxu/ijcai_final.pdf">slides</a>][<a href="https://github.com/howardhsu/L-DEM">code</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Dual Attention Network for Product Compatibility and Function Satisfiability Analysis</strong><br>
Hu Xu, Sihong Xie, <b>Lei Shu</b>, Philip S. Yu<br>
<em>AAAI 2018</em> <small>[<a href="https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17294/16169">paper</a>][<a href="https://www.cs.uic.edu/~hxu/aaai2018_bib.bib">bib</a>][<a href="https://www.cs.uic.edu/~hxu/aaai2018_slides.pdf">slides</a>][<a href="https://www.cs.uic.edu/~hxu/QA_dataset.html">dataset</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Unseen Class Discovery in Open-world Classification</strong><br>
<b>Lei Shu</b>, Hu Xu, Bing Liu<br>
<em> arXiv 2018</em>
<small>[<a href="https://arxiv.org/abs/1801.05609">preprint</a>][<a href="https://raw.githubusercontent.com/leishu02/leishu02.github.io/master/bibs/arxiv2018_unseen.bib">bib</a>]</small>
</li>
</ul>
<h3 style="display:inline">2017 and before </h3><p style="display:inline">
<ul style="list-style-type:circle; line-height:200%;">
<li style="margin-bottom: 1em;"><strong>DOC: Deep Open Classification of Text Documents</strong><br>
<b>Lei Shu</b>, Hu Xu, Bing Liu<br>
<em>EMNLP 2017</em> <small>[<a href="https://www.aclweb.org/anthology/D17-1314">paper</a>][<a href="https://aclweb.org/anthology/papers/D/D17/D17-1314.bib">bib</a>][<a href="https://www.youtube.com/watch?v=g8sRvZNwkbE">video</a>][<a href="https://drive.google.com/file/d/1Kgtqbp0B67S-f4W7ULfG-_YP2kOdZ-Do/view?usp=sharing">dataset</a>][<a href="https://github.com/leishu02/EMNLP2017_DOC">code</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Lifelong Learning CRF for Supervised Aspect Extraction</strong><br>
<b>Lei Shu</b>, Hu Xu, Bing Liu<br>
<em>ACL 2017</em> <small>[<a href="https://www.aclweb.org/anthology/P17-2023">paper</a>][<a href="https://aclweb.org/anthology/papers/P/P17/P17-2023.bib">bib</a>][<a href="https://vimeo.com/234956125">video</a>]</small>
</li>
<li style="margin-bottom: 1em;"><strong>Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets</strong><br>
<b>Lei Shu</b>, Bing Liu, Hu Xu, Annice Kim<br>
<em>EMNLP 2016</em> <small>[<a href="https://www.aclweb.org/anthology/D16-1022">paper</a>][<a href="https://aclweb.org/anthology/papers/D/D16/D16-1022.bib">bib</a>][<a href="https://vimeo.com/239244227">video</a>]</small>
</li>
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