7 papers
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…
Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis
Gaurav Negi, MA Waskow, John McCrae +2
Fine-grained opinion analysis of text provides a detailed understanding of expressed sentiments and their targets. Although this level of detail is valuable, annotating opinions in…
Semantically Enriching Investor Micro-blogs for Opinion-Aware Emotion Analysis: A Practical Approach
Gaurav Negi, Paul Buitelaar
While sentiment analysis is the staple of financial NLP, capturing the nuances of 'why' behind that sentiment remains a challenge. There have been attempts to address this by analy…
A Progressive Evaluation Framework for Multicultural Analysis of Story Visualization
Janak Kapuriya, Ali Hatami, Paul Buitelaar
Recent advancements in text-to-image generative models have improved narrative consistency in story visualization. However, current story visualization models often overlook cultur…
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…
Towards Temporal Knowledge-Base Creation for Fine-Grained Opinion Analysis with Language Models
Gaurav Negi, Atul Kr. Ojha, Omnia Zayed +1
We propose a scalable method for constructing a temporal opinion knowledge base with large language models (LLMs) as automated annotators. Despite the demonstrated utility of time-…