3 papers
cs.CL2026
KGCaRe: Explainable Complex Conditional Question Answering using Automatic Knowledge Graph Construction and Context Retrieval with LLMs
Ghanshyam Verma, Simanta Sarkar, Devishree Pillai +6
Answering complex conditional questions using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) remains a challenge, particularly in domain-specific contexts wh…
cs.CL2025
Mitigating Hallucination in Large Language Models (LLMs): An Application-Oriented Survey on RAG, Reasoning, and Agentic Systems
Yihan Li, Xiyuan Fu, Ghanshyam Verma +2
Hallucination remains one of the key obstacles to the reliable deployment of large language models (LLMs), particularly in real-world applications. Among various mitigation strateg…
cs.IR2025
Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning
Ghanshyam Verma, Shovon Sengupta, Simon Simanta +5
Personalized recommender systems play a crucial role in direct marketing, particularly in financial services, where delivering relevant content can enhance customer engagement and…