37 citations · 47 across the 6 of their papers we have counts for
6 papers
The Warrant Gap: Claim-Conditioned Re-scoring for Fact-Checking
Arka Ujjal Dey, John Collomosse
Fact-checking systems built on LLMs achieve high verdict accuracy on standard benchmarks, yet routinely output Supports labels whose cited evidence does not license the claim. Stru…
Fact-Checking with Contextual Narratives: Leveraging Retrieval-Augmented LLMs for Social Media Analysis
Arka Ujjal Dey, Muhammad Junaid Awan, Georgia Channing +2
We propose CRAVE (Cluster-based Retrieval Augmented Verification with Explanation); a novel framework that integrates retrieval-augmented Large Language Models (LLMs) with clusteri…
Image-text matching for large-scale book collections
Artemis Llabrés, Arka Ujjal Dey, Dimosthenis Karatzas +1
We address the problem of detecting and mapping all books in a collection of images to entries in a given book catalogue. Instead of performing independent retrieval for each book…
EKTVQA: Generalized use of External Knowledge to empower Scene Text in Text-VQA
Arka Ujjal Dey, Ernest Valveny, Gaurav Harit
The open-ended question answering task of Text-VQA often requires reading and reasoning about rarely seen or completely unseen scene-text content of an image. We address this zero-…
Beyond Visual Semantics: Exploring the Role of Scene Text in Image Understanding
Arka Ujjal Dey, Suman Kumar Ghosh, Ernest Valveny +1
Images with visual and scene text content are ubiquitous in everyday life. However, current image interpretation systems are mostly limited to using only the visual features, negle…
Don't only Feel Read: Using Scene text to understand advertisements
Arka Ujjal Dey, Suman K. Ghosh, Ernest Valveny
We propose a framework for automated classification of Advertisement Images, using not just Visual features but also Textual cues extracted from embedded text. Our approach takes i…