4 papers
The Evolution of Reranking Models in Information Retrieval: From Heuristic Methods to Large Language Models
Tejul Pandit, Sakshi Mahendru, Meet Raval +1
Reranking is a critical stage in contemporary information retrieval (IR) systems, improving the relevance of the user-presented final results by honing initial candidate sets. This…
SecureNet: A Comparative Study of DeBERTa and Large Language Models for Phishing Detection
Sakshi Mahendru, Tejul Pandit
Phishing, whether through email, SMS, or malicious websites, poses a major threat to organizations by using social engineering to trick users into revealing sensitive information.…
Venn Diagram Prompting : Accelerating Comprehension with Scaffolding Effect
Sakshi Mahendru, Tejul Pandit
We introduce Venn Diagram (VD) Prompting, an innovative prompting technique which allows Large Language Models (LLMs) to combine and synthesize information across complex, diverse…
User Intent Recognition and Semantic Cache Optimization-Based Query Processing Framework using CFLIS and MGR-LAU
Sakshi Mahendru
Query Processing (QP) is optimized by a Cloud-based cache by storing the frequently accessed data closer to users. Nevertheless, the lack of focus on user intention type in queries…