Rahul Sharma
7 papers in the PaperMetrix corpus
Papers by this author
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Big Data Analytics in Association Rule Mining: A Systematic Literature Review
2021
Due to the rapid impact of IT technology, data across the globe is growing exponentially as compared to the last decade. Therefore, the efficient analysis and application of big data require special technologies. The present …
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Cluster-Based Association Rule Mining for an Intersection Accident Dataset
2021
Large amounts of annual costs are made for safety and compensations of accidents in urban intersections, even those with traffic lights. The main reason for accidents seems to be the convergence of different traffic flows …
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Finding Inductive Loop Invariants using Large Language Models
2023 · arXiv (Cornell University)
Loop invariants are fundamental to reasoning about programs with loops. They establish properties about a given loop's behavior. When they additionally are inductive, they become useful for the task of formal verification that seeks to …
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On Choosing the Columnar In-Memory Database Hyrise as High-Performant Implementation Platform for the GrandReport Tool
2025
In this paper, we provide informed arguments for using columnar in-memory database technology, in particular the Hyrise database, for the high-performant implementation of the highly combinatorial data mining tool GrandReport. In service of that we …
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Chatbot Development for Voice Recognition using an Improved Support Vector Classifier
2025
This paper proposes the development of an interactive voice chatbot using Machine Learning (ML) and automation technology. The chatbot will be designed to sense the user's spoken input, process the input using an already trained …
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Enterprise AI Must Enforce Participant-Aware Access Control
2025 · arXiv (Cornell University)
Large language models (LLMs) are increasingly deployed in enterprise settings where they interact with multiple users and are trained or fine-tuned on sensitive internal data. While fine-tuning enhances performance by internalizing domain knowledge, it also …
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DeduCE: Deductive Consistency as a Framework to Evaluate LLM Reasoning
2025 · arXiv (Cornell University)
Despite great performance on Olympiad-level reasoning problems, frontier large language models can still struggle on high school math when presented with novel problems outside standard benchmarks. Going beyond final accuracy, we propose a deductive consistency …