Ishika Singh

PhD student, Computer Science

USC

Biography

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.

Interests

RoboNLP
Embodied AI
Vision-Language Navigation

Education

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

Updates

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!]

Publications

	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 pdf

	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 pdf

Ishika Singh

PhD student, Computer Science

USC

Biography

Interests

Education

Updates

Publications

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

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

Adapting a Language Model for Controlled Affective Text Generation

Differentially-private Federated Neural Architecture Search

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

Contact