Mohammad Taufeeque

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I am a research engineer at FAR AI working with Dr. Adam Gleave on research projects at the intersection of reinforcement learning and natural language processing. My current work is focused on interpretability research on large language models and benchmarking imitation learning algorithms.

I graduated with a bachelors in Computer Science from IIT Bombay. For my bachelors thesis, I worked with Prof. Shivaram Kalyanakrishnan to build Fianchetto, an AI agent for the game of Reconnaissance Blind Chess that won the NeurIPS 2021 competition on RBC.

I have also interned at Microsoft Research to work on incorporating phrasal rules with LLMs on-the-fly with Prof. Sunita Sarawagi and Dr. Sriram Rajamani. In the summer of 2020, I interned at the PLRI lab of Technical University of Braunschweig, Germany to work with Prof. Thomas Deserno on human fall detection.


Publications

  1. imitation: Clean Imitation Learning Implementations
    Adam Gleave, Mohammad Taufeeque, Juan Rocamonde, Erik Jenner, Steven H. Wang, Sam Toyer, Maximilian Ernestus, Nora Belrose, Scott Emmons, and Stuart Russell
    arXiv, 2022
    PDF GitHub
  2. Fianchetto: Speed, Belief, Guile, Caution to Win at Reconnaissance Blind Chess
    Mohammad Taufeeque, Nitish Tongia, and Shivaram Kalyanakrishnan
    submitted to The Journal of Artificial Intelligence Research, 2022
    PDF
  3. SoftCompose: Handling Compliance Violations in Advertisements with Neuro-symbolic Classifiers
    Mohammad Taufeeque, Suresh Parthasarathy, Rahul Ragesh, Shashank Shet, Arun Iyer, Sunita Sarawagi, and Sriram Rajamani
    submitted to The ACM Web Conference (WWW), 2023
    PDF
  4. The Second NeurIPS Tournament of Reconnaissance Blind Chess
    Gino Perrotta, Ryan W. Gardner, Corey Lowman, Mohammad Taufeeque, Nitish Tongia, Shivaram Kalyanakrishnan, Gregory Clark, Kevin Wang, Eitan Rothberg, Brady P. Garrison, and 3 more authors
    In Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2022
    HTML PDF
  5. Multi-camera, multi-person, and real-time fall detection using long short term memory
    Mohammad Taufeeque, Samad Koita, Nicolai Spicher, and Thomas M. Deserno
    In Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications, 2021
    HTML GitHub
  6. Randomized POMDP Planning Algorithms
    Mohammad Taufeeque, and Shivaram Kalyanakrishnan
    Technical Report, 2021
    PDF