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Showing result 1 - 5 of 51 essays matching the above criteria.

  1. 1. Natural Language Inference Transfer Learning in a Multi-Task Contract Dataset : In the Case of ContractNLI: a Document Information Extraction System

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Yiu Kei Tang; [2023]
    Keywords : ;

    Abstract : This thesis investigates the enhancement of legal contract Natural Language Inference (NLI) classification through supervised fine-tuning on general domain NLI, in the case of ContractNLI and Span NLI BERT (Koreeda and Manning, 2021), a multi-task document information extraction dataset and framework. Annotated datasets of a specific professional domain are scarce due to the high time and labour cost required to create them. READ MORE

  2. 2. Blockchains and Smart Contracts for Cryptocurrency : An Analysis of Their Functionality and Performance

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Oussama Safi; Melik Atabeyli; [2023]
    Keywords : Smart Contracts; Blockchains; Cryptocurrency; Digital assets; Consensus mechanisms; Smarta Kontrakt; Blockkedjor; Kryptovaluta; Digitala tillgångar; Konsensus mekanismer;

    Abstract : Smart contracts are self-executing electronic contracts. Amongst its deployed applications in the digital world is providing a decentralized and transparent method for executing transactions of cryptocurrencies on blockchains. READ MORE

  3. 3. An initial investigation of Automatic Program Repair for Solidity Smart Contracts with Large Language Models

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Erik Cruz; [2023]
    Keywords : Automatic Program Repair; APR; Large Language Models; LLM; Smart Contracts; Smart Contract Audit; Chat GPT; Cybersecurity; Automatisk Lagning av Kod; Stora språkmodeller; Smarta Kontrakt; Granskning av Smarta Kontrakt; Chat GPT; Cybersäkerhet;

    Abstract : This thesis investigates how Large Language Models can be used to repair Solidity Smart Contracts automatically through the main contribution of this thesis, the Transformative Repair Tool. The Transformative Repair Tool achieves similar results to current state-of-the-art tools on the Smartbugs Curated Dataset and is the first published tool that uses Large Language Models to repair Solidity Smart Contracts. READ MORE

  4. 4. Enhancing House Rental Price Prediction Models for the Swedish Market : Exploring External features, Prediction intervals and Uncertainty Management in Predicting House Rental Prices

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Vasigaran Senthilkumar; [2023]
    Keywords : ;

    Abstract : Exakt förutsägelse av hyrespriserna för hus är ett avgörande problem i verkligheten fastighetsdomän, vilket underlättar informerat beslutsfattande för både hyresgäster och hyresvärdar. Denna studie presenterar en omfattande utforskning av olika maskininlärningstekniker som tillämpas på en mångsidig datauppsättning av husfunktioner, med det övergripande målet att avslöja den mest effektiva algoritmen för förutsäga hyrespriser. READ MORE

  5. 5. Locating the Unlocated : An Examination of Choice of Law and Consumer Protection in Cryptocurrency Trading

    University essay from Uppsala universitet/Juridiska institutionen

    Author : Laura Fernandez Gomero; [2023]
    Keywords : Private International Law; Conflicts of Laws; Rome I Regulation; Choice of Law; Qualification; Applicable Law; Crypto-assets; Cryptocurrency; Blockchain; Decentralized Ledger Technology; Crypto Exchanges; Crypto Trading; Consumer Contracts; Consumer Protection; Cross-border Contracts; Lunar Block; MiCA; Internationell privaträtt; IP-rätt; lagval; gränsöverskridande avtal; kryptotillgångar; kryptovalutor; Bitcoin; blockkedjeteknologi; kryptohandel; kvalifikation; konsumentskydd; Lunar Block; Rom I-förordningen; MiFID II; MiCA;

    Abstract : Disputes involving emerging technology, often leave a grey area on applicable law, as it is unlocated in the physical world. The problem with crypto-assets is partly driven by their underlying technology, allowing for the assets to be distributed in an international, digital sphere, and making it hard to pinpoint their territorial location and solve legal issues. READ MORE