Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Large Multimodal Models"”.
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Learning without Labels - Reducing Supervision in Training, Inference, and Evaluation of Deep Neural Networks
… fixed output vocabularies from Vision Language Models by formalizing the tasks of Vocabulary-free Image Classification and Vocabulary-free Semantic Segmentation and by introducing a family of efficient methods that adapt CLIP to the tasks. We also evaluate Large Multimodal Models under a similar …
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A Pedagogical Multimodal System for Mathematical Problem-Solving and Visual Reasoning
… theories. This thesis explores and suggests how multimodal interaction between humans and AI helps humans engage with the system more naturally and effectively, leading to improved problem-solving in mathematical settings. Recent large multimodal models (LMMs) have the ability to facilitate …
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Cognitive Map Generation for Vision and Language Navigation
… actions. These maps are generated using Large Language Models (LLMs), specifically GPT-4o, to extract spatial information and construct detailed route topologies. Additionally, panoramic images sourced from Google Street View are processed using Large Multimodal Models (LMMs) to generate …
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Graph-based Vector Search Algorithms for Retrieval-Augmented AI Systems
The recent advancement of large language models (LLMs) and large multimodal models (LMMs) greatly enhances the capabilities of AI systems such as recommendation systems and coding assistants, making them more practical for real-world deployment. However, these models cannot directly interact with …
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Language-Guided Video Understanding with Foundation Models
… decisions must be made online. Recent foundation models provide a new opportunity to rethink video understanding as a language-guided inference problem. Leveraging this shift, this thesis investigates how Vision-Language Models (VLMs) and Large Language Models (LLMs) can be used to relax key …
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Dynamic multimodal learning: Empowering ai to interpret the temporally dynamic world through vision, language, audio, and video
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01
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Exploring screen summarization with large language and multimodal models
Mobile UIs are inherently multimodal. They can be represented by both visual representations, (screenshots) and structural metadata (view hierarchies). The image modality is rich and can contain information such as images, colors and positional information, while the view-hierarchies represent a …