Jie Hao

About Me

Jie is a Senior Applied Scientist and Tech Lead at Amazon AGI/Alexa AI, where he focuses on LLM post-training, reinforcement learning, and conversational AI agents. He holds a Ph.D. in Statistics from Florida State University and earned his Bachelor's degree in Mathematics with honors from Fudan University.

Research Interests

Jie's current research interests focus on building reliable and responsible LLMs, specializing in:

• Reinforcement Learning
• Multi-turn Agentic RL for Long-horizon Tasks
• LLM Alignment
• Supervised/Instruction Fine-Tuning; Synthetic Data/Preference Data Generation; LLM Evaluation

Experience

• Amazon, AGI/Alexa AI, Apr. 2023 - present, Senior Applied Scientist/Tech Lead, Bellevue, WA, USA
• Amazon, Alexa AI, Jan. 2021 - Apr. 2023, Applied Scientist II, Bellevue, WA, USA
• Tencent AI Lab, Sep. 2020 - Dec. 2020, Research Intern, Bellevue, WA, USA
• Amazon, Alexa AI, Jan. 2020 - July 2020, Applied Scientist Intern, Seattle, WA, USA
• IQVIA, Oct. 2019 - Dec 2019, Research Scientist Intern
• Tencent AI Lab, May 2018 - Sep. 2019, Research Intern

Publications

SpeakRL: Synergizing Reasoning, Speaking, and Acting in Language Models with Reinforcement Learning [paper]
Emre Can Acikgoz, Jinoh Oh, Jie Hao, Joo Hyuk Jeon, Heng Ji, Dilek Hakkani-Tur, Gokhan Tur, Xiang Li, Chengyuan Ma, Xing Fan
IWSDS, 2026
MAC: A Multi-Agent Framework for Interactive User Clarification in Multi-turn Conversations [paper]
Emre Can Acikgoz, Jinoh Oh, Joo Hyuk Jeon, Jie Hao, Heng Ji, Dilek Hakkani-Tur, Gokhan Tur, Xiang Li, Chengyuan Ma, Xing Fan
NeurIPS, MTI-LLM,, 2025
STOC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering [paper]
Zhenyu Bi, Daniel Hajialigol, Zhongkai Sun, Jie Hao, Xuan Wang
NAACL, KnowledgeNLP, 2023
Improving Contextual Query Rewrite for Conversational AI Agents throughUser-preference Feedback Learning [paper]
Zhongkai Sun, Yingxue Zhou, Jie Hao, Xing Fan, Yanbin Lu, Chengyuan Ma, Wei Shen, Chenlei Guo
EMNLP Industry Track, 2023
Unified Contextual Query Rewriting [paper]
Yingxue Zhou, Jie Hao, Mukund Rungta, Yang Liu, Eunah Cho, Xing Fan, Yanbin Lu, Vishal Vasudevan, Kellen Gillespie, Zeynab Raseey, Wei Shen, Chenlei Guo and Gokhan Tur
ACL Industry Track, 2023
CGF: Constrained Generation Framework for Query Rewriting in Conversational AI [paper]
Jie Hao, Yang Liu, Xing Fan, Saurabh Gupta, Saleh Soltan, Rakesh Chada, Pradeep Natarajan, Chenlei Guo and Gokhan Tur
EMNLP Industry Track, 2022 (Oral)
PAIGE: Personalized Adaptive Interactions Graph Encoder for Query Rewriting in Dialogue Systems [paper]
Daniel Bis, Saurabh Gupta, Jie Hao, Xing Fan, Chenlei Guo
EMNLP Industry Track, 2022
PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding [paper]
Niranjan Uma Naresh, Ziyan Jiang, Ankit, Sungjin Lee, Jie Hao, Xing Fan, Chenlei Guo
EMNLP Industry Track, 2022
Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation [paper]
Dingcheng Li, Zheng Chen, Eunah Cho, Jie Hao, Xiaohu Liu, Xing Fan, Chenlei Guo, Yang Liu
NAACL, 2022
RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging [paper] [code]
Jie Hao, Linfeng Song, Liwei Wang, Kun Xu, Zhaopeng Tu, Dong Yu
EMNLP, 2021
Contextual Rephrase Detection for Reducing Friction in Dialogue Systems [paper]
Zhuoyi Wang*, Saurabh Gupta*, Jie Hao*, Xing Fan, Dingcheng Li, Alexander Hanbo Li, Chenlei Guo (* Equal contribution)
EMNLP, 2021 (Oral)
Personalized Search-based Query Rewrite System for Conversational AI [paper]
Eunah Cho, Ziyan Jiang, Jie Hao, Zheng Chen, Saurabh Gupta, Xing Fan, Chenlei Guo
EMNLP NLP4ConvAI, 2021 (Oral)
Multi-Granularity Self-Attention for Neural Machine Translation [paper]
Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, and Zhaopeng Tu
EMNLP, 2019
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons [paper] [code]
Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, and Zhaopeng Tu
EMNLP, 2019
Modeling Recurrence for Transformer [paper]
Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, and Zhaopeng Tu
NAACL, 2019 (Oral)

Professional Service

Program Committee Member: EMNLP (2020-2025), AACL (2020-2022), COLING (2020-2022), NLPCC 2020, CCL (2019-2020), EACL 2021, AAAI (2021-2023), NAACL (2021-2025), ACL (2021-2025), TASLP 2021, ACL Rolling Review (2021-), KDD (2022-2023)
Area Chair: ACL Rolling Review (2025/02-)