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 9 of 9 for “"small language models"”.
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Reasoning beyond scale: Structured inference for small language models
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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Towards the Efficient, Scientific and Accessible Development of Small Language Models
Language models continue to grow in size, yet our understanding of their inner workings and ability to train them efficiently, particularly smaller models, remains limited. Small (sub-1 billion parameter) models offer practical advantages, including reduced financial and environmental costs, and …
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Prompt Injection Generation Using Small Language Models with Reinforcement Learning with Artificial Intelligence Feedback
Large language models (LLMs) have become an integral part of many fields from customer support automation to research assistants. However, despite their growing adoption, they face significant challenges, particularly when it comes to safety in sensitive contexts. Existing methods like …
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Towards Label-Efficient Learning: Exploiting Limited Labels and Abundant Unlabeled Data
… is critical for advancing the capabilities of language models and their downstream systems. This thesis first presents novel methodologies for label-efficient learning, introducing three frameworks: (1) JointMatch, which employs collaborative pseudo-labeling to leverage limited labeled examples …
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Study of Output and Behavior of LLMs Using Confidence Framing in Prompt Engineering
… prompt engineering is pivotal for shaping Large Language Model (LLM) outputs, the impact of confidence framing on behavioral calibration remains underexplored. This study investigates the ways in which psychological framing, utilizing techniques such as capability praise, role amplification, and …
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Tailoring large language models for zero-shot relation extraction
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Adapting Transformers for Structured Data Domains
… domains beyond their traditional use in natural language processing (NLP). We revisit key elements of the transformer framework - including input representations, attention formulations, auxiliary tasks, prediction layers and loss functions - and adapt them to better suit the structure and …
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Advancing Information Extraction with Large Language Models: The Role of Structured Understanding in Knowledge Management and AI Safety
… scarcity of linguistic resources for non-English languages. This thesis investigates how Large Language Models (LLMs) can overcome these limitations and, conversely, how IE can enhance their reliability and safety. It examines the symbiotic relationship between structured knowledge extraction and …
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Extracting thermoelectric materials information using natural language processing
… this dataset was used to fine-tune a variety of small language models to support information extraction in the thermoelectric materials domain. Throughout this work, a range of methods and resources have been introduced which are novel in their specialised materials science scope. Chapter 1 …