Research Mission🧑🏽‍🔬: Productivity AI

Most current AI recommenders are trained to improve investor revenues while letting their applications deliver sub-par user experience. Instead, AI should help you learn, grow, achieve and get things done. Its training objective should be optimizing your potential. Therefore, I want to develop a productivity AI assistant that manages and executes your tasks by conversing with you (like J.A.R.V.I.S.). I believe communication is one of the most powerful tools invented by mankind. Giving computers the power of understanding human conversations will automate many repetitive jobs and accelerate innovation.

To pursue this dream, I study and work on open-domain dialog, natural language generation, and deep learning. Existing research in robotics 1, embodied AI 2 and large language models 3 have demonstrated that fundamental blocks to build such a machine already exists!

Experience

I am a Computer Science PhD student at Georgia Tech working with Prof. Alan Ritter. Previously, received a master’s in Computer Science from The Ohio State University. Before that, I was a Research Fellow at Microsoft Research (MSR), India for one year. I worked with Dr. Monojit Choudhury on word-level language identification of code-switched text. I completed my Bachelor’s Degree in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur.

Contact 📧

The best way to contact me is through email abaheti95@gatech.edu. You can find links to my profiles in other social media and github at the bottom of the page.

Publications 📃

  • Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts
    Authors: Ashutosh Baheti, Maarten Sap, Alan Ritter, Mark Riedl
    Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
    PDF Code Slides Poster Talk

  • 🦠 Extracting COVID-19 Events from Twitter
    Authors: Shi Zong, Ashutosh Baheti, Wei Xu, Alan Ritter
    Preprint. June, 2020
    PDF Code

  • Fluent Response Generation for Conversational Question Answering
    Authors: Ashutosh Baheti, Alan Ritter, Kevin Small
    2020 Annual Conference of the Association for Computational Linguistics
    PDF Code Slides Talk

  • Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
    Authors: Ashutosh Baheti, Alan Ritter, Jewei Li, Bill Dolan
    Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
    PDF Code Slides Poster

  • Curriculum design for code-switching: Experiments with language identification and language modeling with deep neural networks
    Authors: Ashutosh Baheti, Sunayana Sitaram, Monojit Choudhury, Kalika Bali
    Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017)
    PDF

  • Non-linear barrier coverage using mobile wireless sensors
    Authors: Ashutosh Baheti, Arobinda Gupta
    The 22nd IEEE Symposium on Computers and Communications, 2017
    PDF Code

Other Interests/Ideas💡/Activities🚣🏽

Somewhat Explored:

  • Cooking 🍳
  • Traveling ✈️
  • Yoga and meditation 🧘🏽
  • Hiking 🥾
  • Skating 🛼
  • Gaming 🎮
  • Mobile game development 👨🏽‍💻
  • Having long conversations about life 🧬, universe 🌌, science 🧪, politics 🗳️ and philosophy

Want to Explore (in Future):

  • VR app development 👨🏽‍💻
  • Video Blogging ⏯️

🆓 Tools🛠️ and Extensions🧰 for Productivity

Recommended websites and browser extensions to boost your productivity:

  • Notion.so: A database-style note-taking website/app. Helps you organize your thoughts/progress into digital notebook.
  • Xmind: A digital notebook to make mind maps and diagrams.
  • Grammarly: Free grammar checking app/website/extension.
  • Quillbot: Free paraphrasing tool.
  • Kami: PDF highlighting browser extension. Saves all highlights and annotations on cloud.
  • Dark Reader: Darkify any website using this browser extension to reduce strain on your poor eyes. Remember to often blink and hydrate💧!
  • Mailtrack: Free Gmail extension to track sent emails.

My Cats 🐈

Appa (LEAN FLUFFY Boi) (previously a CHONKY Boi):

Appa

Momo (LEAN Boi):

Momo