About Me

My research interest lies in various NLP problems in language generation and grounding that require effective understanding of contexts.

I enjoyed my research internships and fantastic undergrad years at:

  • Unique-Studio: We found the earliest and largest collegiate hackathon in China.

  • UC Berkeley: Mentor in the world’s largest collegiate hackathon.

  • Chinese Academy of Sciences: Detecting COVID-19-related fake news in social media was awarded by our government and deployed into real practice to curb the pandemic.

  • Sinovation Ventures: We teamed up 11 award-winning authors with my model to write science fiction, support creativity, and empower humans, which was reported by People’s Daily, Yahoo news, etc.

Contact me: xarutang@gmail.com or xiangru.tang@yale.edu


  • I won the first place in the final roadshow of 6-th National Youth AI Innovation and Entrepreneurship Conference, organized by Chinese Association for Artificial Intelligence. This project is about providing AI functionality as a Service in enterprise contexts.

  • Our team won the first place in the Deecamp 2020, Sinovation Ventures and was lectured by 12 world-renowned AI experts including Andrew NG, Zhihua ZHOU and Kai-fu LEE.

  • I won the first place in the 2020 Artificial Intelligence Application Innovation Competition, HUAWEI CLOUD. This project is about AI-based information management transformation and enterprise office services.

  • National Scholarship, Ministry of Education.

  • MOE-Google Collaboration Fellowship, Ministry of Education and Google LLC.

Research Interest

I have been working on text generation and question answering.

I am developing machine learning tools and techniques of everyday cognitive abilities, focusing on problems that are easier for people than they are for machines. The human mind is the best-known solution to a diverse array of challenging computational problems: learning new concepts, learning new tasks, understanding scenes, learning a language, asking questions, forming explanations, amongst many others. Machines also struggle to simulate other facets of human intelligence, including creativity, curiosity, self-assessment, and commonsense reasoning. And I know it is my great happiness to contribute towards it and finding answers to the following question.

  • What are general mathematical models of perceiving, reasoning and learning?
  • How does intelligence emerge from a complicated structure?
  • What should the new paradigm of scientific research be in this AI era?
  • How do agents interact and cooperate to build things, interweave concepts and discover knowledge?

Professional Service

Program Committee: ICML 2021, ACL 2021, AAAI 2020, Challenge-HML@ACL 2020, ALVR 2021


I am also an amateur Go player and accordionist, and I started to learn how to play them when I was 5. I am actively looking for potential collaborations (both hobby-wise or research-wise), feel free to contact me for some potential projects or some fun!