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Alan RitterAssociate ProfessorSchool of Interactive Computing College of Computing Georgia Institute of Technology Office: Coda 1157B Email: alan.ritter@cc.gatech.edu Google Scholar: https://scholar.google.com/citations?hl=en&user=unXtH3IAAAAJ Semantic Scholar: https://www.semanticscholar.org/author/Alan-Ritter/4655992 Follow @alan_ritter My research focuses on natural language processing and machine learning. My group develops methods for expert reasoning and builds better models of the environment to support intelligent decisions. I contributed to some early work on data-driven chatbots, including models trained using reinforcement learning. I am always looking for strong students to work with. I advise students in both our ML and CS Ph.D. programs - if you list my name in your application, I will make sure to read it. For current Georgia Tech students interested in research: please email me a copy of your resume, transcript, and a description on what you would like to work on together. |
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Recent Activities:
- Talk at Google Research, December 2025
- Talk at Sungkyunkwan University, May 2025
- Speaking at the University of Tokyo, October 2024
- Shonan Seminar on Empowering Local Open Source LLMs
- Congrats to Yang Chen on successfully defending his Ph.D. thesis! Yang will join NVIDIA as a Research Scientist.
- 5/2024 Talk at University of California San Diego
- 3/2024 Talk at University of California Irvine
- 12/2023 Speaking at BrainLink
- 11/2023 Talk at the University of Chicago / TTIC
- 10/2023 Talk at AI2
- 10/2023 Talk at the University of Washington
- 7/2023 Speaking at the Matching Workshop @ ACL 2023
- 2/2023 Talk at the University of Pennsylvania
- 10/2022 Talk at Princeton University
- 10/2022 Talk at Columbia University
- 10/2022 Talk at New York University
- 10/2022 Talk at Google New York
- 5/2022 Talk at Johns Hopkins University
- 1/2022 Talk at Megagon Labs
- 9/2021 Talk at the University of Notre Dame NLP Seminar
- 12/2019, Speaking at the NeurIPS workshop on Conversational AI [video]
- NSF CAREER Award
- 5th Workshop on NLP in noisy user-generated text (W-NUT) at EMNLP 2019. Consider submitting an abstract or paper!
- 6/2019 Talk at Twitter
- 5/2019 Visiting Faculty, Language Technologies Institute, Carnegie Mellon University
- 1/2019 Amazon Research Award
- 5/2018 Speaking at the Stanford NLP Seminar
- 12/2017, Talk at the NeurIPS workshop on Learning with Limited Labeled Data
- 7/2017 Interview on Data-Driven Conversational Agents
- 7/2017 Talk at the Microsoft Research Faculty Summit
- 6/2017 Speaking at the Midwest Machine Learning Symposium
- Visiting researcher, Microsoft Research NLP Group August 2015.
- Talk at Carnegie Mellon University.
Media Coverage:
- Our work measuring cultural biases in LLMs was covered by Venture Beat.
- Quoted on the costs of large language models by Bloomberg.
- Our EMNLP paper investigating neural chatbots' stance towards toxic comments was covered by TNW.
- WIRED article covering our NAACL paper on analyzing percieved servierity of software vulerabilities reported on social media.
Recent Service:
- Area Chair, COLM 2026
- Senior Area Chair, ACL 2026
- Area Chair, COLM 2025
- Program Chair, NAACL 2025
- Best Paper Awards Committee, EACL 2024
- Area Chair, EMNLP 2023, Information Extraction
- Demo Chair, ACL 2023
- Area Chair, ACL 2023, Information Extraction
- Senior Area Chair, EMNLP 2022, Information Extraction
- Senior Program Committee, AAAI 2022
- Senior Area Chair, ACL 2022, Information Extraction
- Senior Area Chair, EMNLP 2021, Computational Social Science
- Area chair, ACL 2021, Information Extraction
- Senior Area Chair, NAACL 2021, Machine Learning for NLP: Classification and Structured Prediction Models
- Senior Area Chair, EMNLP 2020, Information Extraction
- Area chair, ACL 2020, Information Extraction
- Area chair, EMNLP 2019, Social Media and Computational Social Science
- Area chair, ACL 2019, Information Extraction and Text Mining
Ph.D. Students:
Undergraduate and M.S. Researchers:
Alumni:
- Mohit Raghavendra (M.S. - 2025 Georgia Institute of Technology)
- Fan Bai (Ph.D. 2023, Georgia Institute of Technology, M.S. 2020, Ohio State University)
- Yang Chen (Ph.D. 2024, Georgia Institute of Technology)
- Sandesh Swamy (M.S. - 2017, Ohio State University)
- Jeniya Tabassum (Ph.D. - 2020, Ohio State University)
- Shi Zong (Ph.D. - 2020, Ohio State University)
- Vedaant Shah (M.S. - 2024, Georgia Institute of Technology)
- Andrew Li (M.S. - 2024, Georgia Institute of Technology)