Jiang Guo (郭 江)

I am currently an applied scientist at AWS AI Labs. I obtained Ph.D. degree from the Language Analysis group of SCIR lab at Harbin Institute of Technology, under the supervision of Dr. Haifeng Wang and Prof. Wanxiang Che. From 2014 to 2015, I was a joint Ph.D. student at CLSP in Johns Hopkins University supervised by Prof. David Yarowsky.

Prior to joining AWS, I was a postdoc researcher at MIT CSAIL working with Prof. Regina Barzilay. I was a member of the Natural Language Processing group, and also part of the MLPDS Consortium.

My research interests span a wide range of areas in natural language processing and machine learning. My earlier research has focused on low-resource learning with applications in cross-lingual, task, and domain transfer (ACL15, JAIR16, EMNLP18, EMNLP19a, EMNLP19b), as well as interdisciplinary applications in chemical sciences (JCIM21, JCIM23a, JCIM23b). Recently I have been mostly working on various topics and industrial applications of large language models (LLMs), including Text2SQL (Amazon Q in QuickSight), RAG (Knowledge Bases for Amazon Bedrock), Knowledge Editing (ACL24), and LLM Customization.

Selected Papers [Google Scholar]

* indicates authors with equal contribution.



Book and Translation:

Academic Services

  • Senior PC: AAAI (2021, 2022)
  • Area Chair: CCL (2019, 2020), COLING (2022)
  • Journal Reviewer: IEEE/ACM TASLP, ACM TIST, ACS JCIM
  • Conference Reviewer: EMNLP, NAACL, ACL, NLPCC, COLM
  • PC Member: Student Research Workshop of ACL (2016, 2017, 2018), NAACL (2017, 2018)
  • PC Member: NAACL 2016 Workshop on Multilingual and Crosslingual Methods in NLP
  • Reviewing Coordinator: ACL (2014), EMNLP (2014), NAACL (2015)

Miscellaneous


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