Ishika Singh

Ishika Singh

PhD student, Computer Science



I am a PhD student at USC, advised by Prof. Jesse Thomason. My research interests are across NLP and robotics; primarily around why (how) language is necessary for (can be utilized in) robot learning and embodied AI. I think that problems under Embodied AI are yet more foundational, and hold deep-rooted benefits for the society.

Previously, I was an undergrad at IIT Kanpur, where I worked on topics relating to NLP and theoretical ML with Prof. Ashutosh Modi (IIT-K), Prof. Nisheeth Srivastava (IIT-K), and Prof. Pengtao Xie ( UC San Diego). I have spent some summers interning at Adobe Research, where I also received the Adobe India WIT Scholarship 2020, and NVIDIA SRL.


  • RoboNLP
  • Embodied AI
  • Vision-Language Navigation


  • PhD, Computer Science, 2021

    University of Southern California, LA, CA

  • B.Tech., double major in Computer Science and Chemical Engineering, 2016 - 2021

    Indian Institute of Technology Kanpur, India


Feb, 2022 | Co-organizing vision-and-dialogue TEACh TATC Challenge @ Embodied AI Workshop, CVPR'22.
Dec, 2021 | I will be interning at NVIDIA AI Robotics Research Lab, Seattle in Summer'22, advised by Valts and Animesh!
Dec, 2021 | Work on Interactive Fiction Games accepted as extended abstract at AAMAS'22. [ arXiv].
Aug, 2021 | Joined the CS PhD program at USC as a member in the GLAMOR Lab.
Sept, 2020 | Work on Affective Text Generation accepted as long paper at COLING'20. [ arXiv]
Sept, 2020 | Adobe released a blog on my internship at Adobe Research, India! [ Read here]
Jun, 2020 | Work on Differentially-private Federated Neural Architecture Search accepted at FL-ICML'20. [ arXiv]
Dec, 2019 | Received Adobe India WIT Scholarship 2020. [ Adobe’s Blog][ Getting-through-it Advice!]


ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
International Conference on Robotics and Automation (ICRA) 2023
Also at LaReL @ NeurIPS 2022, LangRob @ CoRL 2022
arXiv / website / video

Pre-trained Language Models as Prior Knowledge for Playing Text-based Games

Ishika Singh, Gargi Singh, Ashutosh Modi
International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2022 (Extended Abstracts)
arXiv / code / extended abstract

Adapting a Language Model for Controlled Affective Text Generation

Ishika Singh*, Ahsan Barkati*, Tushar Goswamy, Ashutosh Modi
International Conference on Computational Linguistics (COLING) 2020
Also at Wordplay: When Language Meets Games @ NeurIPS 2020
arXiv / talk / code

Differentially-private Federated Neural Architecture Search

Ishika Singh*, Haoyi Zhou*, Kunlin Yang, Meng Ding, Bill Lin, Pengtao Xie
International Workshop on Federated Learning for User Privacy and Data Confidentiality @ ICML 2020
arXiv / workshop version / code

Machine-learning techniques for augmenting electronic documents with data-verification indicators

Navita Goyal, Vipul Shankhpal, Priyanshu Gupta, Ishika Singh, Baldip Singh Bijlani, Anandhavelu Natarajan
US Patent Application 17/108,424 | Adobe | 2022


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