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Showing 1 to 11 of 11 for “"Dataset curation"”.

  1. Domain Adaptation of LLMs for Materials Science: Dataset Curation, Fine-Tuning, and Evaluation Benchmark

    … to the lack of domain-specific natural language datasets and evaluation benchmarks. To overcome this challenge, the thesis introduces a curated instruction-tuning dataset composed of diverse question-answer (QA) pairs drawn from various materials science sources such as textbooks, property …

    gatech Repository record for Domain Adaptation of LLMs for Materials Science: Dataset Curation, Fine-Tuning, and Evaluation Benchmark (opens in a new tab)

  2. Data curation for foundation model training

    … we will examine ways to increase the quality of datasets in image-text and language domains, with a focus on dataset curation and filtering. Given the amount of readily available data on the web, these techniques can be reliably applied as methods to increase the downstream performance of models, …

    texas Repository record for Data curation for foundation model training (opens in a new tab)

  3. Mechanistic Interpretability for Progress Towards Quantitative AI Safety

    … in LLMs. This work suggests implications for LLM dataset curation, model optimization, and quantization. Subsequently, we introduce MIPS, an innovative method for program synthesis that distills the operational logic of neural networks into executable Python code. By transforming an RNN into a …

    mit Repository record for Mechanistic Interpretability for Progress Towards Quantitative AI Safety (opens in a new tab)

  4. Temporal Reasoning in Clinical Narratives: From Information Extraction to Early Disease Detection

    … adaptation) on a newly annotated UI Health dataset with dense temporal relations, highlighting its portability. Building on these temporal graphs, I develop HiTGNN—a Hierarchical Temporal Graph Neural Network that integrates intra-document temporal relations, inter-visit dynamics, and …

    uic

  5. Adapting Single-View View Synthesis with Multiplane Images for 3D Video Chat

    … target="_blank">dataset</a> — to better predict a layered representation of the scene viewed by either video chat participant at any given time. This intermediate representation of the local light field — called a <em>Multiplane Image</em> (MPI) — may then be used …

    calpoly Repository record for Adapting Single-View View Synthesis with Multiplane Images for 3D Video Chat (opens in a new tab)

  6. EFFICIENT DATA CURATION AND UTILIZATION FOR DEEP LEARNING

    … construction efficiency of large-scale vision datasets, aiming to reduce computational and annotation costs. We propose InfoBatch, an unbiased dynamic data pruning framework that losslessly accelerates training and saves 20–40% of computation across diverse vision tasks. To address dataset

    nus Repository record for EFFICIENT DATA CURATION AND UTILIZATION FOR DEEP LEARNING (opens in a new tab)

  7. A Depth-Guided Annotation Tool for B-Line Quantification in Lung Ultrasound

    … institutions, to support large-scale dataset curation, gold-standard adjudication, and AI model development. This tool addresses a critical gap in structured LUS annotation workflows by enabling reproducible, sector-based quantification of B-lines and pleural features. Its AI-ready …

    queens Repository record for A Depth-Guided Annotation Tool for B-Line Quantification in Lung Ultrasound (opens in a new tab)

  8. Application of Deep Learning to Brain Connectivity Classification in Large MRI Datasets

    … whole-brain classification of extremely large datasets of multi-site MRIs, including machine learning model architecture, dataset curation methods, machine learning visualization methods, encoding of MRI data, and feature extraction. To replicate large sample sizes typically applied to deep …

    cambridge Repository record for Application of Deep Learning to Brain Connectivity Classification in Large MRI Datasets (opens in a new tab)

  9. Machine Learning Force Fields for Modelling Reactions at Complex Interfaces

    … systems is the need to curate relevant training datasets that lead to accurate and trustworthy results. We present an automated framework for training force fields for reactive systems which uses model uncertainty to iteratively improve and select new configurations for evaluation with the …

    cambridge Repository record for Machine Learning Force Fields for Modelling Reactions at Complex Interfaces (opens in a new tab)

  10. USING ARTIFICIAL INTELLIGENCE FOR DETECTING DISCRIMINATORY LANGUAGE

    … pipelines grounded in well-constructed datasets. However, many existing approaches lack systematic data-centric frameworks, leading to models that may fail to generalise or perpetuate biases present in incomplete or unbalanced training data. This dissertation investigates how …

    milano Repository record for USING ARTIFICIAL INTELLIGENCE FOR DETECTING DISCRIMINATORY LANGUAGE (opens in a new tab)

  11. Multimodal emotion recognition and speaker identification in financial conversations

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms

    uiuc Repository record for Multimodal emotion recognition and speaker identification in financial conversations (opens in a new tab)