Kushan Mitra — accepted AI-conference papers

2025

FactLens: Benchmarking Fine-Grained Fact Verification

Kushan Mitra, Dan Zhang, Sajjadur Rahman, Estevam Hruschka

ACL 2025finding

Large Language Models (LLMs) have shown impressive capability in language generation and understanding, but their tendency to hallucinate and produce factually incorrect information remains a key limitation. To verify LLM-generated contents and claims from other sources, traditional verification app…

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2024

Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks

Aditi Mishra, Sajjadur Rahman, Kushan Mitra, Hannah Kim, Estevam Hruschka

ACL 2024findings

Large language models (LLMs) are proficient at generating fluent text with minimal task-specific supervision. However, their ability to generate rationales for knowledge-intensive tasks (KITs) remains under-explored. Generating rationales for KIT solutions, such as commonsense multiple-choice QA, re…

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