1 citations · 2 across the 3 of their papers we have counts for
4 papers
Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification
Fernando Gabriela García, Qiyang Shi, Zilin Feng
This research introduces VeriFact-CoT (Verified Factual Chain-of-Thought), a novel method designed to address the pervasive issues of hallucination and the absence of credible cita…
Unlocking Compositional Control: Self-Supervision for LVLM-Based Image Generation
Fernando Gabriela Garcia, Spencer Burns, Ryan Shaw +1
This paper introduces Hierarchical Self-Supervised LVLM (Hi-SSLVLM), a novel generative model designed to significantly advance text-to-image synthesis, particularly for complex an…
Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning
Harrison Fuller, Fernando Gabriela Garcia, Victor Flores
Few-shot learning in medical image classification presents a significant challenge due to the limited availability of annotated data and the complex nature of medical imagery. In t…
Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms
Fernando Gabriela Garcia, Spencer Burns, Harrison Fuller
In this paper, we introduce ChatCite, a novel method leveraging large language models (LLMs) for generating comparative literature summaries. The ability to summarize research pape…