Feng Bian is a Research Scientist at Google, specializing in Natural Language Processing (NLP) and Large Language Models (LLMs). He earned his Ph.D. in Computer Science from Stanford University, where his research focused on improving the efficiency, understanding, and generation capabilities of language models. At Google, Feng contributes to cutting-edge research in AI, working on developing more capable, reliable, and interpretable LLMs. His interests include instruction tuning, model alignment, reasoning in LLMs, and building AI systems that can effectively collaborate with humans. Feng is passionate about pushing the frontiers of artificial intelligence to solve complex real-world problems.
Feng Bian's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Completed doctoral studies with a dissertation focused on advancing methodologies in natural language processing and machine learning, specifically for large-scale language models.
Contributes to Google's AI research, particularly in the domain of Large Language Models, focusing on improving their performance, safety, and utility across various applications.
Authored and co-authored multiple research papers presented at prestigious AI and NLP conferences such as NeurIPS, ICML, ACL, and EMNLP, contributing significant findings to the field.
If applicable, Feng may have contributed to significant open-source AI frameworks or models, enhancing their capabilities or accessibility for the wider research community. (Note: Specific open-source contributions would require deeper, individualized lookup for confirmation).
Columbia University - Year 2016
University of Minnesota Duluth - Year 2013
Xi'an Jiaotong-Liverpool University - Year 2010
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