Papers by Ishika Agarwal

2 papers
Tree-of-Debate: Multi-Persona Debate Trees Elicit Critical Thinking for Scientific Comparative Analysis (2025.acl-long)

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Challenge: Existing comparative summarization methods focus on surface-level semantic differences, which may not capture the most relevant distinctions.
Approach: They propose a framework which transforms scientific papers into LLM personas that debate their respective novelties.
Outcome: The proposed framework generates informative arguments and effectively contrasts papers, and supports researchers in their literature review.
Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging (2024.findings-emnlp)

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Challenge: Current large language models often give away solutions directly, making them ineffective instructors.
Approach: They propose to use a state space-based planning algorithm to build a question tree based on a student's knowledge state to help students independently identify and resolve errors.
Outcome: The proposed model is able to debug code efficiently with minimal turns and highly Socratic questioning.

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