Liqiang Xiao

Senior Applied Scientist · Amazon

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I obtained my PhD from Shanghai Jiao Tong University and completed my bachelor's degree in Information Engineering at Xi'an Jiaotong University. From 2018 to 2019, I visited the Khoury College of Computer Sciences at Northeastern University, where I was mentored by Professor Lu Wang.

My research is focused on LLM alignment, natural language processing, and reinforcement learning. More specifically, my work is mostly about text summarization, conversational search, multi-task learning, as well as the application of reinforcement learning on NLP.

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Research Interests

Recursive Self-Improvement (RSI) LLM Alignment Natural Language Processing Reinforcement Learning Text Summarization Multi-task Learning Conversational Search

Selected Peer-Reviewed Publications

LLM Agents and Safety

  1. Many-Turn Jailbreaking
    Xianjun Yang, Liqiang Xiao, Shiyang Li, Faisal Ladhak, Hyokun Yun, Linda Ruth Petzold, Yi Xu, William Yang Wang
    arXiv preprint, 2025
  2. Do LLMs Catch Their Own Mistakes? A Comprehensive Benchmark for Reflective Tool Use LLMs
    Zheyuan Liu, Liqiang Xiao, Yang Li, Hyokun Yun, Lihong Li, Chao Zhang, Meng Jiang
    Findings of ACL 2026

Summarization and Reinforcement Learning

  1. Modeling Content Importance for Summarization with Pre-trained Language Models
    Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin
    EMNLP 2020
  2. Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning
    Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin
    AAAI 2020
  3. FusionSum: Abstractive Summarization with Sentence Fusion and Cooperative Reinforcement Learning
    Liqiang Xiao, Hao He, Yaohui Jin
    Knowledge-Based Systems 2022

Multi-task Learning

  1. Multi-Task Learning for Logically Dependent Tasks from the Perspective of Causal Inference
    Wenqing Chen, JiDong Tian, Liqiang Xiao, Hao He, Yaohui Jin
    EMNLP 2020
  2. Gated Multi-Task Network for Text Classification
    Liqiang Xiao, Honglun Zhang, Wenqing Chen
    NAACL 2018
  3. Transformable Convolutional Neural Network for Text Classification
    Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin
    IJCAI 2018
  4. Learning What to Share: Leaky Multi-Task Network for Text Classification
    Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin
    COLING 2018
  5. MCapsNet: Capsule Network for Text with Multi-Task Learning
    Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin
    EMNLP 2018
  6. Multi-task Label Embedding for Text Classification
    Honglun Zhang, Liqiang Xiao, Yongkun Wang, Yaohui Jin
    EMNLP 2018
  7. A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning
    Honglun Zhang, Liqiang Xiao, Yongkun Wang, Yaohui Jin
    IJCAI 2017

Others

  1. A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation
    Wenqing Chen, JiDong Tian, Liqiang Xiao, Hao He, Yaohui Jin
    COLING 2020
  2. Exploring Logically Dependent Multi-task Learning with Causal Inference
    Wenqing Chen, JiDong Tian, Liqiang Xiao, Hao He, Yaohui Jin
    EMNLP 2020
  3. Generative Warfare Nets: Ensemble via Adversaries and Collaborators
    Honglun Zhang, Liqiang Xiao, Yongkun Wang, Yaohui Jin
    IJCAI 2018
  4. Fashion Pose Machine for Fashion Landmark Detection
    Ying Hu, Liqiang Xiao, Yongkun Wang, Yaohui Jin
    International Conference on Image and Video Processing, and Artificial Intelligence 2018

Recent Professional Activities