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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 “"Multi-hop question"”.

  1. Interpretable Multi-hop Question Answering

    Deng, ZhenyunResearchSpace@Auckland2023

    … and challenging task of Artificial Intelligence. Question Answering (QA), an advanced form of information retrieval in the field of Natural Language Processing, aims to build a system to answer natural language questions posed by humans. Since QA tasks can be used to quantify the understanding and …

    auckland-ms Repository record

  2. Transformer-based multi-hop question generation

    Emerson, John Robert, University of Lethbridge. Faculty of Arts and Science2022

    lethbridge

  3. KG4QG: combining knowledge graph with large language models for multi-hop question generation

    Mahamud, Al Hasib, University of Lethbridge. Faculty of Arts and Science2025

    lethbridge

  4. From GNNs to sparse transformers: graph-based architectures for multi-hop question answering

    Acton, ShaneDepartment of Computer Science2023

    Multi-hop Question Answering (MHQA) is a challenging task in NLP which typically involves processing very long sequences of context information. Sparse Transformers [7] have surpassed Graph Neural Networks (GNNs) as the state-of-the-art architecture for MHQA. Noting that the Transformer [4] is a …

    cape-town Repository record

  5. QuOTE: Question-Oriented Text Embeddings

    Neeser, Andrew KyleVirginia Tech2025

    We present QuOTE (Question-Oriented Text Embeddings), a novel enhancement to retrieval- augmented generation (RAG) systems, aimed at improving document representation for accurate and nuanced retrieval. Unlike traditional RAG pipelines, which rely on embed- ding raw text chunks, QuOTE augments …

    vt Repository record

  6. Detect, Explain, Ground: A Sustainable Pipeline for Robust Large Language Model–Powered Agents

    Ghassel, Abdellah2025

    … Lexical Graph to improve evidence retrieval for multi-hop question answering. Across five datasets, this graph-augmented retrieval method achieves a 23.1% relative improvement in recall and correctness over baseline RAG systems. Together, these contributions advance the development of reliable, …

    queens Repository record

  7. SPIRAL: Iterative Subgraph Expansion for Knowledge-Graph Based Retrieval-Augmented Generation

    Hadjiivanov, Michael D.Massachusetts Institute of Technology2025

    … over triples, delivering improved performance on multi-hop question answering tasks. Stage 1 trains a single-label GLASS-GNN on shortest-path heuristics, producing frozen, question-aware node embeddings at negligible runtime cost with significant local topology awareness around question entities. …

    mit Repository record