Rik Bose @infiniterik

Curriculum Vitæ

Contact

  • Intelligent Systems Center
  • Research and Exploratory Development Center
  • 11091 Johns Hopkins Road
  • rik.bose@jhuapl.edu

Research Interests

My research interests combine ontology-driven semantic parsing and natural language processing techniques with generative AI to produce neurosymbolic representations for a variety of agent architectures powered by Large Language Models (LLM). Current work examines:

  • The architectural foundation of LLM-powered agents with predictable personalities.
  • Infusing LLM-powered agents with domain-specific knowledge.
  • Using LLMs to validate the soundness and validity of arguments in human-like documents.

Education

  • Ph.D. in Computer Science (2020) University of Rochester, Supervised by Professor James Allen Dissertation: “Towards resolving ambiguity in semantic parsing with hints.”

  • M.Sc. in Computer Science (2014) University of Rochester

  • M.Sc. in Computer Science (2012) Stony Brook University

  • B.A. in Computer Science, Mathematics (2010) Colgate University

Publications

  1. Ritwik Bose, Mattson Ogg, Michael Wolmetz, and Christopher Ratto, “Assessing Behavioral Alignment of Personality-Driven Generative Agents in Social Dilemma Games,” NeurIPS Workshop on Behavioral ML, 2024
  2. Ian Perera, Alex Memory, Vera Kazakova, Bonnie J Dorr, Brodie Mather, Ritwik Bose, et al., “Principles for AI-Assisted Social Influence and Their Application to Social Mediation,” Second Workshop on Social Influence in Conversations (EMNLP), 2024
  3. Konstantinos Mitsopoulos, Ritwik Bose, Brodie Mather, et al., “Psychologically-valid generative agents: A novel approach to agent-based modeling in social sciences,” Proc. AAAI Symposium, 2023
  4. Christopher Bates, Ritwik Bose, Reagan Keeney, and Vera Kazakova, “Contractual AI: Toward more Aligned, Transparent, and Robust Dialogue Agents,” Proc. AAAI Symposium, 2023
  5. Ritwik Bose, Ian Perera, and Bonnie J. Dorr, “Detoxifying Online Discourse: A Guided Response Generation Approach for Reducing Toxicity in User-Generated Text,” First Workshop on Social Influence in Conversations (EMNLP), 2023
  6. James Allen, Hannah An, Ritwik Bose, et al., “A Broad-Coverage Deep Semantic Lexicon for Verbs,” Language Resources and Evaluation, 2022
  7. Ritwik Bose and James Allen, “SkeletonScore: Guiding a Semantic Parser to Better Results by Example,” Thirty-First International FLAIRS Conference, 2018
  8. Michael Bender, Rezaul Chowdhury, Ritwik Bose, et al., “The Kissing Problem: How to End a Gathering When Everyone Kisses Everyone Else Goodbye,” Theory of Computing Systems, Springer US, 2013
  9. Song Feng, Ritwik Bose, and Yejin Choi, “Learning General Connotation of Words Using Graph-Based Algorithms,” EMNLP, 2011

Student Advising

  • Jonathan Lau, “Predicting Stock Prices Using Recursive Neural Networks,” Knox College Honors, 2023
  • Reagan Keeney, “Quantifying Nationalism,” Horizons, Knox College, 2023
  • Tuan Nguyen, “Meme Comparison Using Color Data and Hashing,” CCSC-MW Student Poster Session, 2021
  • Viet Duong, Phu Pham, Ritwik Bose, Jiebo Luo, “#MeToo on Campus: Studying College Sexual Assault at Scale Using Data Reported on Social Media,” Arxiv, 2020

Presentations

  • IHMC Afternoon Lecture Series: Promoting Healthy Online Discourse with Large Language Models, 2023
  • Co-Presenter: Exploring the Power and Perils of ChatGPT: Harnessing AI for Personal Growth, Productivity, and Creativity (Knox College Alumni Seminar), 2023
  • Bose, Ritwik, Siddharth Vashishtha, and James Allen, “Improving Semantic Parsing Using Statistical Word Sense Disambiguation,” AAAI Conference, 2020

Employment History

  • AI/NLP Researcher, JHU/APL September 2023 – Present

  • Adjunct Faculty, John’s Hopkins University EP May 2024 – September 2024 Co-led “Large Language Models: Theory and Practice.”

  • Assistant Professor, Knox College September 2022 – August 2023

  • Visiting Research Scientist, Florida Institute for Human and Machine Cognition April 2022 – September 2023 (DARPA Civil Sanctuary and INCAS)

  • Visiting Assistant Professor, Knox College September 2020 – August 2022

  • Graduate Assistant, University of Rochester September 2012 – August 2020

  • Instructor, University of Rochester Pre-College Programs July 2019

  • Data Scientist, Buoy Health May 2016 – April 2016

  • Research Intern, Florida Institute for Human and Machine Cognition May 2015 – August 2015

Teaching Experience

  • CS 395M - Natural Language Processing
  • CS 322 - Software Engineering
  • CS 220 - Advanced Data Structures
  • CS 208 - Programming Languages
  • CS 141 - Introduction to Computer Science
  • PREC 115 - Science Fiction and Human Identity (co-taught with Dr. Vera Kazakova)

Professional and Other Activities

  • Member, Faculty Experience Committee, Knox College
  • Committee Member, Neighbors Helping Neighbors Workshop on Community-Based Pedagogies, Knox College, 2023
  • Graduate Representative, Computer Science Department, University of Rochester, 2014-15
  • Graduate Senate Representative, Graduate Student Association, University of Rochester, 2013-14