Team
What We Do
We investigate human-centric AI systems with common sense that can team with people in intuitive and reliable ways.
We perform fundamental research on commonsense AI and investigate its application to challenging domains, informed by empirical insights and cognitive theories.
Research Topics
- Commonsense Reasoning (e.g., modeling story procedures, tracking participant states, and performing counterfactual inference; decision-making in everyday situations)
- Human-centric NLP (e.g., drawing situational analogies according to cognitive theories; lateral thinking in AI; studying and building robust and explainable models)
- AI for Social Good (e.g., value-aware detection of fallacies in arguments and hate speech in memes; what-if reasoning in traffic)
PhD Students
Fabian Hoppe, VU Amsterdam, 2023- | Zhivar Sourati, USC/ISI, 2022- | Jiarui Zhang, USC/ISI, 2022- |
Master Students
Prateek Chhikara, USC/ISI, 2022- | Darshan Girish Deshpande, USC/ISI, 2022- |
Past
Peifeng Wang, PhD, 2020-2023
Commonsense reasoning with knowledge graphs and language models
Yifan Jiang, MS, 2022-2023
Procedural reasoning
Vishnu Priya Prasanna Venkatesh, MS, 2022-2023
Logical fallacy identification
Himanshu Rawlani, MS, 2022
Propaganda detection
Thiloshon Nagarajah, MS, 2022
Understanding affordances in procedures
Aravinda Kolla, MS, 2022
Slang representation learning
Abhinav Kumar Thakur, MS, 2022
Meme understanding
Ana Iglesias, PhD intern, 2022
Modeling Temporal Knowledge Graphs
Lucas Zhuang, BS intern, 2022-
Knowledge Graph Fact Verification
Harshit Manektalia, MS, 2022
Dimensional similarity of concepts
Shubham Akhilesh Singh, MS, 2022
Knowledge graph question answering
Jiasheng Gu, MS, 2022
Link prediction with critic language models
Dweepa Honnavali, MS, 2022
Commonsense story generation
Vaibhav Vats, MS, 2022
Entity linking in Wikidata
Sukavanan Nanjundan, MS, 2022
Dimensional similarity of concepts
Jiang Wang, MS, 2021-2022
Link prediction with augmented knowledge graphs
Jiarui Zhang, BS, 2021-2022
Zero-shot commonsense reasoning with knowledge graphs
Bohui Zhang, MS, 2021-2022
Enriching Wikidata with linked open data
Nicholas Klein, MS (USC/ISI Rising star program), 2020-2022
Profiling Wikidata entities and identification of surprising facts
Sara Melotte, Aditya Malte, Linglan Zhang, Namita Mutha, MS (CKIDS program), 2021
Biases in commonsense knowledge sources
Zaina Shaik, BS (NSF REU program), 2021
Biases in factual knowledge graphs
Pushkaraj Jitendra Sarnobat, MS, 2021
Scene graph generation
Kartik Shenoy, MS, 2021-2022
Wikidata quality and concept similarity
Ehsan Qasemi, PhD, 2020-2021
Preconditions of commonsense knowledge
Avijit Thawani, PhD, 2020-2021
Language model numeracy
Bin Zhang, MS, 2020-2021
Organizing commonsense knowledge, and integration with language models
Hanzhi Zhang, MS, 2020-2021
Commonsense story generation and explanation