About Me
Jingjing Li is an Applied Scientist at Tiktok E-Commerce, specializing in Large Language Models (LLMs) and Natural Language Processing (NLP). She focuses on developing LLMs to enhance intelligent customer service. Dr. Li holds a Ph.D. in Computer Science & Engineering from The Chinese University of Hong Kong. Her research interests include unsupervised text generation, controllable text generation, and conversational AI.
Interests
- Large Language Models (LLMs)
- Natural Language Processing (NLP)
- Text Generation
- Conversational AI
Education
PhD in Computer Science
The Chinese University of Hong Kong
B.Eng. in Computer Science
Xidian University
Experience
Applied Scientist
Tiktok E-Commerce- Fine-tuning, and deploying Large Language Models (LLMs) for intelligent customer service.
Applied Scientist Intern
Tencent Lightspeed Studios- Developed LLM-driven autonomous agent system for a game demo, winning 1st place in the company-wide innovation competition.
Applied Scientist Intern
Amazon Alexa AI- Analyzed semantic fidelity in neural data-to-text models. Proposed a novel decoding strategy to improve semantic accuracy and entity correctness (+8%) over state-of-the-art models (BART, T5).
Research Intern
Microsoft Research Asia- Investigated unsupervised text generation in data-scarce settings. Developed an iterative in-place text span editing approach, achieving state-of-the-art performance on unsupervised text simplification (AAAI 2022).
Education
PhD in Computer Science
The Chinese University of Hong KongAdvisors: Prof. Irwin King, Prof. Michael R. LyuB.Eng. in Computer Science
Xidian UniversityOutstanding Graduate
Publications
(2024).
A Survey of Text Watermarking in the Era of Large Language Models.
ACM Computing Surveys.
(2020).
Unsupervised Text Generation by Learning from Search.
In NeurIPS 2020.
(2019).
Improving Question Generation With to the Point Context.
In EMNLP-IJCNLP 2019.