3 papers
cs.IR2026
DocQAC: Adaptive Trie-Guided Decoding for Effective In-Document Query Auto-Completion
Rahul Mehta, Kavin R, Indrajit Pal +3
Query auto-completion (QAC) has been widely studied in the context of web search, yet remains underexplored for in-document search, which we term DocQAC. DocQAC aims to enhance sea…
cs.CV2025
Mapping of Lesion Images to Somatic Mutations
Rahul Mehta
Medical imaging is a critical initial tool used by clinicians to determine a patient's cancer diagnosis, allowing for faster intervention and more reliable patient prognosis. At su…
cs.CL2024
MetaCheckGPT -- A Multi-task Hallucination Detector Using LLM Uncertainty and Meta-models
Rahul Mehta, Andrew Hoblitzell, Jack O'Keefe +2
Hallucinations in large language models (LLMs) have recently become a significant problem. A recent effort in this direction is a shared task at Semeval 2024 Task 6, SHROOM, a Shar…