Sökning: "Large Language Model"

Visar resultat 1 - 5 av 122 avhandlingar innehållade orden Large Language Model.

1. 1. Representation learning for natural language

   Författare :Olof Mogren; RISE; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; artificial neural networks; artificial intelligence; natural language processing; deep learning; machine learning; summarization; representation learning;

   Sammanfattning : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. LÄS MER

3. 2. Understanding Large Language Models : Towards Rigorous and Targeted Interpretability Using Probing Classifiers and Self-Rationalisation

   Författare :Jenny Kunz; Marco Kuhlmann; Eva Blomqvist; Isabelle Augenstein; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Large language models (LLMs) have become the base of many natural language processing (NLP) systems due to their performance and easy adaptability to various tasks. However, much about their inner workings is still unknown. LÄS MER

4. 3. Design of Business Process Model Repositories : Requirements, Semantic Annotation Model and Relationship Meta-model

   Författare :Mturi Elias; Ilia Bider; Paul Johannesson; Marlon Dumas; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; business process; business process model; business process repository; semantic annotation; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : Business process management is fast becoming one of the most important approaches for designing contemporary organizations and information systems. A critical component of business process management is business process modelling. LÄS MER

5. 4. Adaptive Robot Presenters : Modelling Grounding in Multimodal Interaction

   Författare :Agnes Axelsson; Gabriel Skantze; Johan Boye; Elisabeth André; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Human-robot interaction; Dialogue; Presentation; Museum; Grounding; Multimodal; Feedback; Classification; Knowledge graphs; KG; KG-to-text; WebNLG; System; Learning; Large Language Model; LLM; människa-robot-interaktion; hri; dialog; presentation; museum; grundning; multimodal; multimodalitet; återmatning; klassifikation; kunskapsgraf; kg; kg-till-text; data-tilltext; webnlg; system; inlärning; lärande. stor språkmodell; llm; Speech and Music Communication; Tal- och musikkommunikation;

   Sammanfattning : This thesis addresses the topic of grounding in human-robot interaction, that is, the process by which the human and robot can ensure mutual understanding. To explore this topic, the scenario of a robot holding a presentation to a human audience is used, where the robot has to process multimodal feedback from the human in order to adapt the presentation to the human's level of understanding. LÄS MER

7. 5. The Search for Syntax : Investigating the Syntactic Knowledge of Neural Language Models Through the Lens of Dependency Parsing

   Författare :Artur Kulmizev; Joakim Nivre; Roger Levy; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; syntax; language models; dependency parsing; universal dependencies; Datorlingvistik; Computational Linguistics;

   Sammanfattning : Syntax — the study of the hierarchical structure of language — has long featured as a prominent research topic in the field of natural language processing (NLP). Traditionally, its role in NLP was confined towards developing parsers: supervised algorithms tasked with predicting the structure of utterances (often for use in downstream applications). LÄS MER