About me

Hi! My name is Shuang Li (李书昂). Currently, I am a researcher at Tencent. I received my Ph.D. at the School of Software in Tsinghua University in 2024, under the supervisor of Asso Prof. Lijie Wen.

My research interests lie in the fields of Natural Language Processing. In particular, I am interested in LLMs and Diffusion Models.

Contact: lishuangthss@gmail.com

[Google Scholar] [ResearchGate] [Semantic Scholar]

Feel free to contact me if your research lies within these or related areas!

News

• 2024.05: 🎉🎉 One paper about Reinforcement Learning on LLM is accepted by ACL 2024
• 2024.05: 🎉🎉 One paper about Multiple-Choice Select Bias for LLM is accepted by ACL 2024
• 2024.05: 🎉🎉 One paper about Robustness of Document-Level Relation Extraction Models is accepted by Findings of ACL 2024

Publications

2024

• Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding

  Kuo Liao*, Shuang Li*, Meng Zhao, Liqun Liu, Mengge Xue, zhenyu hu, Honglin Han, Chengguo Yin

  ACL 2024

  [Paper] [Code]

• Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors

  Mengge Xue*, Zhenyu Hu*, Meng Zhao, Liqun Liu, Kuo Liao, Shuang Li, Honglin Han, Chengguo Yin

  ACL 2024

  [Paper] [Code]

• On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations

  Shiao Meng, Xuming Hu, Aiwei Liu, Fukun Ma, Yawen Yang, Shuang Li, Lijie Wen

  ACL (Findings) 2024

  [Paper] [Code]

• An Unforgeable Publicly Verifiable Watermark for Large Language Models

  Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu

  ICLR 2024

  [Paper] [Code]

2023

• RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction

  Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen

  EMNLP 2023

  [Paper] [Code]

• Semantics Matters: AMR-based Path Aggregation Relational Network for Aspect-based Sentiment Analysis

  Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen

  ACL 2023

  [Paper] [Code]

• Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer

  Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen

  ACL (Findings) 2023

  [Paper] [Code]

• Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing

  Aiwei Liu, Wei Liu, Xuming Hu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen

  ACL (Findings) 2023

  [Paper] [Code]

• A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference

  Shuang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S Yu

  IEEE/ACM TASLP

  [Paper] [Code]

• Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition

  Yawen Yang, Xuming Hu, Fukun Ma, Shuang Li, Aiwei Liu, Lijie Wen, Philip S. Yu

  ICASSP 2023

  [Paper]

2022

• HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction

  Shuliang Liu*, Xuming Hu*, Chenwei Zhang, Shuang Li, Lijie Wen, Philip S. Yu

  NAACL 2022

  [Paper] [Code]

• Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution

  Aiwei Liu, Honghai Yu, Xuming Hu, Shuang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen

  EMNLP 2022

  [Paper] [Code]

• Pair-Level Supervised Contrastive Learning for Natural Language Inference

  Shuang Li, Xuming Hu, Li Lin, Lijie Wen

  ICASSP 2022

  [Paper] [Code]

• What makes the story forward? inferring commonsense explanations as prompts for future event generation

  Li Lin, Yixin Cao, Lifu Huang, Shuang Li, Xuming Hu, Lijie Wen, Jianmin Wang

  SIGIR 2022

  [Paper] [Code]

2021

• MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses

  Li Lin, Zan Zong, Lijie Wen, Chen Qian, Shuang Li, Jianmin Wang

  DASFAA 2021

  [Paper] [Code]

2020

• An approach for process model extraction by multi-grained text classification

  Chen Qian, Lijie Wen, Akhil Kumar, Leilei Lin, Li Lin, Zan Zong, Shuang Li, Jianmin Wang

  CAiSE 2020

  [Paper]

Services

Conference Reviewer

• ACL, EMNLP, EACL, NAACL