Leonardo Nunes

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas

ArXiv | April 2024

Publication Project Project

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra

January 2024

DOI Publication Project Project

GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models

Bruno Silva, Leonardo Nunes, Roberto Estevão, Vijay Aski, Ranveer Chandra

October 2023

Publication Project Project

Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-Linear Bayesian Regression Approach

Mirco Milletari, Sara Malvar, Yagna Oruganti, Leonardo Nunes, Yazeed Alaudah, Anirudh Badam

The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science | September 2022

Best Paper Award Special Mention

Publication Project

Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks

Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam

NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021

Publication Project

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas

ArXiv | April 2024

Publication Project Project

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra

January 2024

DOI Publication Project Project

GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models

Bruno Silva, Leonardo Nunes, Roberto Estevão, Vijay Aski, Ranveer Chandra

October 2023

Publication Project Project

Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-Linear Bayesian Regression Approach

Mirco Milletari, Sara Malvar, Yagna Oruganti, Leonardo Nunes, Yazeed Alaudah, Anirudh Badam

The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science | September 2022

Best Paper Award Special Mention

Publication Project

Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks

Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam

NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021

Publication Project

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas

ArXiv | April 2024

Publication Project Project

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra

January 2024

DOI Publication Project Project

Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-Linear Bayesian Regression Approach

Mirco Milletari, Sara Malvar, Yagna Oruganti, Leonardo Nunes, Yazeed Alaudah, Anirudh Badam

The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science | September 2022

Best Paper Award Special Mention

Publication Project

Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks

Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam

NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021

Publication Project

Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks

Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam

NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021

Publication Project

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas

ArXiv | April 2024

Publication Project Project

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra

January 2024

DOI Publication Project Project

GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models

Bruno Silva, Leonardo Nunes, Roberto Estevão, Vijay Aski, Ranveer Chandra

October 2023

Publication Project Project

Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-Linear Bayesian Regression Approach

Mirco Milletari, Sara Malvar, Yagna Oruganti, Leonardo Nunes, Yazeed Alaudah, Anirudh Badam

The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science | September 2022

Best Paper Award Special Mention

Publication Project

Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks

Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam

NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021

Publication Project