1 citations · 1 across the 3 of their papers we have counts for
4 papers
Predicting stock prices with ChatGPT-annotated Reddit sentiment
Mateusz Kmak, Kamil Chmurzyński, Kamil Matejuk +2
The surge of retail investor activity on social media, exemplified by the 2021 GameStop short squeeze, raised questions about the influence of online sentiment on stock prices. Thi…
AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
Piotr Matys, Jan Eliasz, Konrad Kiełczyński +4
In real-world applications, Large Language Models (LLMs) often hallucinate, even in Retrieval-Augmented Generation (RAG) settings, which poses a significant challenge to their depl…
Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset
Jakub Wasala, Bartlomiej Wrzalski, Kornelia Noculak +4
This study presents a novel approach to enhance the cost-to-quality ratio of image generation with diffusion models. We hypothesize that differences between distilled (e.g. FLUX.1-…
SupResDiffGAN a new approach for the Super-Resolution task
Dawid Kopeć, Wojciech Kozłowski, Maciej Wizerkaniuk +3
In this work, we present SupResDiffGAN, a novel hybrid architecture that combines the strengths of Generative Adversarial Networks (GANs) and diffusion models for super-resolution…