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Priyanka Kargupta

6 accepted papers

2025

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

ACL 2025long

Claims made by individuals or entities are oftentimes nuanced and cannot be clearly labeled as entirely “true” or “false”—as is frequently the case with scientific and political claims. However, a claim (e.g., “vaccine A is better than vaccine B”) can be dissected into its integral aspects and sub-a…

2025

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

ACL 2025long

State-of-the-art automatic event detection struggles with interpretability and adaptability to evolving large-scale key events—unlike episodic structures, which excel in these areas. Often overlooked, episodes represent cohesive clusters of core entities performing actions at a specific time and loc…

2025

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

ACL 2025long

The rapid evolution of scientific fields introduces challenges in organizing and retrieving scientific literature. While expert-curated taxonomies have traditionally addressed this need, the process is time-consuming and expensive. Furthermore, recent automatic taxonomy construction methods either (…

2025

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

ACL 2025long

With the exponential growth of research facilitated by modern technology and improved accessibility, scientific discoveries have become increasingly fragmented within and across fields. This makes it challenging to assess the significance, novelty, incremental findings, and equivalent ideas between…

2024

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

EMNLP 2024finding

Socratic questioning is an effective teaching strategy, encouraging critical thinking and problem-solving. The conversational capabilities of large language models (LLMs) show great potential for providing scalable, real-time student guidance. However, current LLMs often give away solutions directly…

2023

MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities

EMNLP 2023long findings

Text classification is essential for organizing unstructured text. Traditional methods rely on human annotations or, more recently, a set of class seed words for supervision, which can be costly, particularly for specialized or emerging domains. To address this, using class surface names alone as ex…

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