Ph.D. thesis focused on effectively leveraging both explicit knowledge (e.g., text corpus, web tables, knowledge graphs) and implicit knowledge (e.g., model parameters learned from pretraining) for solving challenging reasoning tasks. Collaborated closely with researchers from various institutions.
Research Experience
Currently a Senior NLP Researcher at Tencent AI Lab; previously a Research Intern at Tencent AI Lab, Microsoft Research Deep Learning Group (Mentor: Hao Cheng), and Bosch Research and Technology Center Human-Machine Collaboration Team (Mentor: Alessandro Oltramari).
Education
Ph.D. from the Language Technologies Institute at Carnegie Mellon University, advised by Eric Nyberg, focusing on question answering, information retrieval, and commonsense reasoning. B.S./M.S. in Computer Science from Emory University, working with Jinho Choi.
Background
Senior NLP Researcher at Tencent AI Lab, with a primary focus on large language models (LLMs), multimodal foundation models, and the development of autonomous AI agents capable of memorization, reasoning, and learning. Specifically, involved in developing generalist agent systems and building large vision-language models, along with contributions to retrieval-augmented generation (RAG), reasoning and planning, and model alignment.