references.bib

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  author={Guo, Siqi and Choi, Minsoo and Kao, Dominic and Mousas, Christos},
  booktitle={Proceedings of the ACM on Computer Graphics and Interactive Techniques},
  volume={7},
  number={1},
  year={2024},
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}

@misc{fast2017irisconversationalagentcomplex,
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  year={2017},
  eprint={1707.05015},
  archivePrefix={arXiv},
  primaryClass={cs.HC},
  url={https://arxiv.org/abs/1707.05015}, 
}

@article{Lister2020AccessibleCU,
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  year={2020},
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}

@article{Deng2023AMA,
  title={A More Accessible Web with Natural Language Interface},
  author={Xiang Deng},
  journal={Proceedings of the 20th International Web for All Conference},
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}

@article{RAPP201849,
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}

@article{Kocaballi2019,
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  title="The Personalization of Conversational Agents in Health Care: Systematic Review",
  journal="J Med Internet Res",
  year="2019",
  month="Nov",
  day="7",
  volume="21",
  number="11",
  pages="e15360",
  keywords="conversational interfaces; conversational agents; dialogue systems; personalization; customization; adaptive systems; health care",
  issn="1438-8871",
  doi="10.2196/15360",
  url="https://www.jmir.org/2019/11/e15360",
  url="https://doi.org/10.2196/15360",
  url="http://www.ncbi.nlm.nih.gov/pubmed/31697237"
}

@inproceedings{Zhu2025DyT,
  title={Transformers without Normalization},
  author={Zhu, Jiachen and Chen, Xinlei and He, Kaiming and LeCun, Yann and Liu, Zhuang},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2025}
}

@inproceedings{cherednichenko:hal-04545073,
  title = {Selection of Large Language Model for development of Interactive Chat Bot for SaaS Solutions},
  author = {Cherednichenko, Olga and Sytnikov, Dmytro and Romankiv, Nazarii and Sharonova, Nataliia and Sytnikova, Polina},
  url = {https://hal.science/hal-04545073},
  address = {Lviv, Ukraine},
  volume = {3722},
  year = {2024},
  keywords = {ChatBots ; LLMs ; SaaS ; Langchain ; Python ; Node.js ; Telegram Bot},
  pdf = {https://hal.science/hal-04545073v1/file/CoLinS_2024_cherednichenko.pdf}
}

@misc{HuggingFace2024,
  title={JavaScript Libraries for ML Integration},
  author={Hugging Face},
  year={2024},
  howpublished={\url{https://huggingface.co/docs/huggingface.js/}}
}

@misc{IBM2023WatsonxSDK,
  title={IBM Generative AI Node.js SDK},
  author={IBM},
  year={2023},
  howpublished={\url{https://github.com/IBM/ibm-generative-ai-node-sdk}}
}

@misc{Nodejs2024Docs,
  title={Streams, Pipelines and WebSocket support},
  author={Node.js},
  year={2024},
  howpublished={\url{https://nodejs.org/api/stream.html}}
}

@misc{RedHat2024LLMNode,
  title={Building LLM Agents with Node.js},
  author={RedHat},
  year={2024},
  howpublished={\url{https://developers.redhat.com/blog/2024/10/25/building-agents-large-language-modelsllms-and-nodejs}}
}

@techreport{oprea2023adversarial,
  title={Adversarial machine learning: A taxonomy and terminology of attacks and mitigations},
  author={Oprea, Alina and Vassilev, Apostol},
  year={2023},
  institution={National Institute of Standards and Technology},
  url={https://csrc.nist.gov/pubs/ai/100/2/e2023/final}
}

@phdthesis{john2025owasp,
  title={OWASP Top 10 for LLM Apps \& Gen AI Agentic Security Initiative},
  author={John, Sotiropoulos and Del, Rosario Ron F and Evgeniy, Kokuykin and Helen, Oakley and Idan, Habler and Kayla, Underkoffler and Ken, Huang and Peter, Steffensen and Rakshith, Aralimatti and Ron, Bitton and others},
  year={2025},
  school={OWASP},
  url={https://genai.owasp.org/llmrisk/llm01-prompt-injection}
}

@article{inie2025summon,
  title={Summon a demon and bind it: A grounded theory of LLM red teaming},
  author={Inie, Nanna and Stray, Jonathan and Derczynski, Leon},
  journal={PloS one},
  volume={20},
  number={1},
  pages={e0314658},
  year={2025},
  publisher={Public Library of Science San Francisco, CA USA},
  url={https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0314658}
}

@article{wu2023defending,
  title={Defending chatgpt against jailbreak attack via self-reminder},
  author={Wu, Fangzhao and Xie, Yueqi and Yi, Jingwei and Shao, Jiawei and Curl, Justin and Lyu, Lingjuan and Chen, Qifeng and Xie, Xing},
  year={2023},
  url={https://www.researchsquare.com/article/rs-2873090/v1}
}

@article{ribeiro2020beyond,
  title={Beyond accuracy: Behavioral testing of NLP models with CheckList},
  author={Ribeiro, Marco Tulio and Wu, Tongshuang and Guestrin, Carlos and Singh, Sameer},
  journal={arXiv preprint arXiv:2005.04118},
  year={2020},
  url={https://arxiv.org/abs/2005.04118}
}

@misc{brown2020languagemodelsfewshotlearners,
  title={Language Models are Few-Shot Learners}, 
  author={Tom B. Brown and Benjamin Mann and Nick Ryder and Melanie Subbiah and Jared Kaplan and Prafulla Dhariwal and Arvind Neelakantan and Pranav Shyam and Girish Sastry and Amanda Askell and Sandhini Agarwal and Ariel Herbert-Voss and Gretchen Krueger and Tom Henighan and Rewon Child and Aditya Ramesh and Daniel M. Ziegler and Jeffrey Wu and Clemens Winter and Christopher Hesse and Mark Chen and Eric Sigler and Mateusz Litwin and Scott Gray and Benjamin Chess and Jack Clark and Christopher Berner and Sam McCandlish and Alec Radford and Ilya Sutskever and Dario Amodei},
  year={2020},
  eprint={2005.14165},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  url={https://arxiv.org/abs/2005.14165}, 
}

@misc{wei2023chainofthoughtpromptingelicitsreasoning,
  title={Chain-of-Thought Prompting Elicits Reasoning in Large Language Models}, 
  author={Jason Wei and Xuezhi Wang and Dale Schuurmans and Maarten Bosma and Brian Ichter and Fei Xia and Ed Chi and Quoc Le and Denny Zhou},
  year={2023},
  eprint={2201.11903},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  url={https://arxiv.org/abs/2201.11903}, 
}

@online{anthropic2024context,
  title = {Anthropic Now Offers 100K Context Windows for Claude 3 Models},
  author = {Anthropic},
  year = {2024},
  url = {https://www.anthropic.com/news/100k-context-windows},
  note = {Accessed: 2025-04-12}
}

@techreport{openai2023gpt4,
  title = {GPT-4 Research},
  author = {OpenAI},
  year = {2023},
  institution = {OpenAI},
  url = {https://openai.com/index/gpt-4-research/},
  note = {Accessed: 2025-04-12}
}

@misc{yao2023treethoughtsdeliberateproblem,
  title={Tree of Thoughts: Deliberate Problem Solving with Large Language Models}, 
  author={Shunyu Yao and Dian Yu and Jeffrey Zhao and Izhak Shafran and Thomas L. Griffiths and Yuan Cao and Karthik Narasimhan},
  year={2023},
  eprint={2305.10601},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  url={https://arxiv.org/abs/2305.10601}, 
}

@online{openai2023functioncalling,
  title = {Function Calling and Other API Updates},
  author = {OpenAI},
  year = {2023},
  month = {June},
  url = {https://openai.com/index/function-calling-and-other-api-updates/},
  urldate = {2025-04-12},
  note = {Official announcement of OpenAI's function calling capability}
}

@techreport{mcp2025spec,
  title = {Model Context Protocol Specification},
  author = {{Model Context Protocol Team}},
  year = {2025},
  month = {March},
  date = {2025-03-26},
  institution = {Model Context Protocol},
  url = {https://modelcontextprotocol.io/specification/2025-03-26/index},
  urldate = {2025-04-12},
  note = {Version 2025-03-26, the latest specification for the Model Context Protocol (MCP) standard}
}

@online{anthropic2024mcp,
  title = {Model Context Protocol (MCP): A Standard for AI Context Integration},
  author = {Anthropic},
  year = {2024},
  month = {November},
  url = {https://www.anthropic.com/news/model-context-protocol},
  urldate = {2025-04-12},
  note = {Official announcement of MCP as an open standard for connecting AI models with data sources and tools :cite[1]:cite[5]:cite[8]},
  keywords = {AI, protocol, context, integration}
}

@techreport{openai2022instructgpt,
  title = {Aligning Language Models to Follow Instructions},
  author = {OpenAI},
  year = {2022},
  month = {January},
  date = {2022-01-27},
  institution = {OpenAI},
  url = {https://openai.com/index/instruction-following/},
  urldate = {2025-04-12},
  note = {Introduces InstructGPT models using RLHF for improved instruction-following and safety},
  keywords = {RLHF, alignment, instruction-following}
}

@online{enterprisedb2023security,
  title = {EnterpriseDB Raises the Bar for Postgres Security and Compliance},
  author = {EnterpriseDB},
  year = {2023},
  url = {https://www.enterprisedb.com/news/enterprisedb-raises-bar-postgres-security-compliance},
  urldate = {2025-04-12},
  note = {Announcement of enhanced security features and compliance capabilities in EnterpriseDB's PostgreSQL solutions},
  keywords = {PostgreSQL, security, compliance, EnterpriseDB}
}


@online{enterprisedb2023postgresql,
  title = {Postgres is the Most Admired Database in Stack Overflow 2023 Survey},
  author = {EnterpriseDB},
  year = {2023},
  url = {https://www.enterprisedb.com/blog/postgres-most-admired-database-in-stack-overflow-2023},
  urldate = {2025-04-12},
  note = {Stack Overflow Developer Survey 2023 results showing PostgreSQL as the most admired and wanted database},
  keywords = {PostgreSQL, database, survey, StackOverflow}
}

@online{eversql2023orms,
  title = {Best ORM for Node.js in 2023: A Comprehensive Comparison},
  author = {EverSQL Team},
  year = {2023},
  url = {https://www.eversql.com/best-orm-for-node-js/},
  urldate = {2025-04-12},
  note = {Comparative analysis of Node.js ORMs including performance benchmarks and feature comparisons},
  keywords = {ORM, Node.js, database, performance, comparison}
}

@software{sequelize2024,
  title = {Sequelize: A Modern TypeScript and Node.js ORM for Postgres, MySQL, MariaDB, SQLite and SQL Server},
  author = {Sequelize Team},
  year = {2024},
  url = {https://github.com/sequelize/sequelize},
  urldate = {2025-04-12},
  version = {7.0.0},
  note = {The official GitHub repository for Sequelize ORM, including documentation and source code},
  keywords = {ORM, Node.js, TypeScript, database, PostgreSQL, MySQL}
}

@misc{Postman2023,
  author = {{The Postman Team}},
  title = {{What is OpenAPI?}},
  howpublished = {Postman Blog},
  year = {2023},
  month = {Aug},
  url = {https://blog.postman.com/what-is-openapi/}
}

@misc{OpenAPIInitiative2023,
  author = {{OpenAPI Initiative}},
  title = {{OpenAPI Specification - Getting Started}},
  howpublished = {OpenAPI Documentation (openapis.org)},
  year = {2023},
  url = {https://learn.openapis.org/docs/getting-started}
}

@misc{OpenAI2023,
  author = {{OpenAI}},
  title = {{ChatGPT plugins}},
  howpublished = {OpenAI Product Blog},
  year = {2023},
  month = {Mar},
  url = {https://openai.com/blog/chatgpt-plugins}
}

@misc{Anthropic2024,
  author = {{Anthropic}},
  title = {{Introducing the Model Context Protocol}},
  howpublished = {Anthropic News},
  year = {2024},
  month = {Nov},
  url = {https://www.anthropic.com/news/model-context-protocol}
}

@misc{MCPDocs2024,
  author = {{Model Context Protocol Contributors}},
  title = {{Model Context Protocol Documentation - Introduction}},
  howpublished = {Online Documentation},
  year = {2024},
  url = {https://modelcontextprotocol.io/introduction}
}

@misc{guia2023playwright,
  author = {Playwright Team},
  title = {Playwright Official Documentation},
  howpublished = {\url{https://playwright.dev/docs/intro}},
  year = {2023},
  note = {Acesso em: 02 jun. 2025}
}