Priyanka Kargupta

Profile

I am a third year PhD candidate working in natural language processing at University of Illinois at Urbana-Champaign, advised by Prof. Jiawei Han. I am supported by the NSF Graduate Research Fellowship. Prior to this, I was working on 3D scene representations with Prof. Ren Ng at the University of California, Berkeley, funded by the Intel SRC Fellowship.

My research aims to integrate structured knowledge and reasoning in order to make both models and students/researchers critically think. I specifically explore how to structure and unstructure the reasoning of both models and humans, as well as structure the data critical to guiding such reasoning.

My work explores this in both the educational (LLMs + Education) and scientific (AI for Research) domains. Specifically, how do we structure both the interactions between models and users (e.g., an Instructor model guiding a student through a problem), as well as the data critical to guiding such interactions (e.g., a student's knowledge state or external knowledge required to solve the problem)?

Publications

Tree-of-Debate: Multi-Persona Debate Trees Elicit Critical Thinking for Scientific Comparative Analysis

Priyanka Kargupta, Ishika Agarwal, Tal August, Jiawei Han

ACL 2025 Main Conference (Oral)

Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims

Priyanka Kargupta, Runchu Tian, Jiawei Han

ACL 2025 Main Conference

Synergizing Unsupervised Episode Detection with LLMs for Large-Scale News Events

Priyanka Kargupta, Yunyi Zhang, Yizhu Jiao, Siru Ouyang, Jiawei Han

ACL 2025 Main Conference (Oral)

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora

Priyanka Kargupta, Nan Zhang, Yunyi Zhang, Rui Zhang, Prasenjit Mitra, Jiawei Han

ACL 2025 Main Conference

NLP for Social Good: A Survey of Challenges, Opportunities, and Responsible Deployment

Antonia Karamolegkou, Angana Borah, Eunjung Cho, Sagnik Ray Choudhury, Martina Galletti, Rajarshi Ghosh, Pranav Gupta, Oana Ignat, Priyanka Kargupta, Neema Kotonya, Hemank Lamba, Sun-joo Lee, Arushi Mangla, Ishani Mondal, Deniz Nazarova, Poli Nemkova, D. Pisarevskaya, Naquee Rizwan, Nazanin Sabri, Dominik Stammbach, Anna Steinberg, David Tom'as, Steven R Wilson, Bowen Yi, Jessica H Zhu, A. Zubiaga, Anders Søgaard, Alexander Fraser, Zhijing Jin, Rada Mihalcea, Joel R. Tetreault, Daryna Dementieva

arXiv.org 2025

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents

Bowen Jin, Jinsung Yoon, Priyanka Kargupta, Sercan Ö. Arik, Jiawei Han

arXiv.org 2025

Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging

Priyanka Kargupta, Ishika Agarwal, Dilek Hakkani-Tur, Jiawei Han

EMNLP 2024 Findings

MEGClass: Text Classification with Extremely Weak Supervision via Mutually-Enhancing Text Granularities

Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han

EMNLP 2023 Findings

Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data

Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, Xuan Wang, Heng Ji, Martin Burke, Huimin Zhao, Jiawei Han

EMNLP 2023 Demo