Alan Ritter

Associate Professor
School of Interactive Computing
College of Computing
Georgia Institute of Technology
Office: Coda 1157B
Email: [email protected]
Google Scholar: https://scholar.google.com/citations?hl=en&user=unXtH3IAAAAJ
Semantic Scholar: https://www.semanticscholar.org/author/Alan-Ritter/4655992
Follow @alan_ritter

I am an Associate Professor in the School of Interactive Computing at Georgia Tech (also affiliated with the Machine Learning Center). I do research on natural language processing. My research group investigates questions regarding robust models that work across many domains and languages, while requiring fewer labels, and making efficient use of computational resources. I am also interested in data-driven dialogue agents that safely and naturally converse on any topic.

I am recruiting Ph.D. students this year. I advise students in both our ML and CS Ph.D. programs. For current Georgia Tech students interested in research: please email me a copy of your resume, transcript, and a proposal of what you would like to work on together with me.

Recent Activities:

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:

3/2024 Our work measuring cultural biases in LLMs was covered by Venture Beat.
2/2023 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:

Program Chair, NAACL 2025
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

Postdoctoral Researcher:

Zhenduo Wang

Ph.D. Students:

Undergraduate and M.S. Researchers:

Andrew Li
Mohit Raghavendra

Alumni:

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)