Daniel Eduardo Madrigal Diaz

Senior Research Software Engineering

출판물

자료 보기:

- LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
  
  Dongge Han, Camille Couturier, Daniel Madrigal, Xuchao Zhang, Victor Ruehle, Saravan Rajmohan
  
  October 2025
  
  Publication 프로젝트
- OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows
  
  Weixuan Wang, Dongge Han, Daniel Madrigal, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ArXiv | August 2025
  
  Publication 프로젝트
- BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
  
  Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian Hipolito Garcia, Menglin Xia, L. Lakshmanan, Qingyun Wu, Victor Ruehle
  
  ArXiv | June 2025, 제 abs/2506.22716 권
  
  DOI Publication Publication
- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication 프로젝트
- EcoAct: Economic Agent Determines When to Register What Action
  
  Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Ruehle, Qingyun Wu, Chi Wang
  
  ICLR Workshop on Reasoning and Planning for Large Language Models | April 2025
  
  Publication 프로젝트 프로젝트
- Exploring How LLMs Capture and Represent Domain-Specific Knowledge
  
  Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal, Ankur Mallick, Anastasios Kyrillidis,, Robert Sim, Victor Ruehle, Saravan Rajmohan
  
  April 2025
  
  Publication 프로젝트
- On Efficient Distillation from LLMs to SLMs
  
  Metod Jazbec, Menglin Xia, Ankur Mallick, Daniel Madrigal, Dongge Han, Samuel Kessler, Victor Ruehle
  
  NeurIPS FITML workshop 2024 | December 2024
  
  Publication 프로젝트
- Project Florida: Federated Learning Made Easy
  
  Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
  
  | July 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트
- FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
  
  Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
  
  March 2022
  
  Preprint Github 프로젝트

- LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
  
  Dongge Han, Camille Couturier, Daniel Madrigal, Xuchao Zhang, Victor Ruehle, Saravan Rajmohan
  
  October 2025
  
  Publication 프로젝트
- OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows
  
  Weixuan Wang, Dongge Han, Daniel Madrigal, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ArXiv | August 2025
  
  Publication 프로젝트
- BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
  
  Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian Hipolito Garcia, Menglin Xia, L. Lakshmanan, Qingyun Wu, Victor Ruehle
  
  ArXiv | June 2025, 제 abs/2506.22716 권
  
  DOI Publication Publication
- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication 프로젝트
- EcoAct: Economic Agent Determines When to Register What Action
  
  Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Ruehle, Qingyun Wu, Chi Wang
  
  ICLR Workshop on Reasoning and Planning for Large Language Models | April 2025
  
  Publication 프로젝트 프로젝트
- Exploring How LLMs Capture and Represent Domain-Specific Knowledge
  
  Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal, Ankur Mallick, Anastasios Kyrillidis,, Robert Sim, Victor Ruehle, Saravan Rajmohan
  
  April 2025
  
  Publication 프로젝트
- On Efficient Distillation from LLMs to SLMs
  
  Metod Jazbec, Menglin Xia, Ankur Mallick, Daniel Madrigal, Dongge Han, Samuel Kessler, Victor Ruehle
  
  NeurIPS FITML workshop 2024 | December 2024
  
  Publication 프로젝트
- Project Florida: Federated Learning Made Easy
  
  Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
  
  | July 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트
- FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
  
  Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
  
  March 2022
  
  Preprint Github 프로젝트
- FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
  
  Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
  
  March 2022
  
  Preprint Github 프로젝트

- OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows
  
  Weixuan Wang, Dongge Han, Daniel Madrigal, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ArXiv | August 2025
  
  Publication 프로젝트
- BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
  
  Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian Hipolito Garcia, Menglin Xia, L. Lakshmanan, Qingyun Wu, Victor Ruehle
  
  ArXiv | June 2025, 제 abs/2506.22716 권
  
  DOI Publication Publication
- LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
  
  Dongge Han, Camille Couturier, Daniel Madrigal, Xuchao Zhang, Victor Ruehle, Saravan Rajmohan
  
  October 2025
  
  Publication 프로젝트
- FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
  
  Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
  
  March 2022
  
  Preprint Github 프로젝트
- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication 프로젝트
- EcoAct: Economic Agent Determines When to Register What Action
  
  Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Ruehle, Qingyun Wu, Chi Wang
  
  ICLR Workshop on Reasoning and Planning for Large Language Models | April 2025
  
  Publication 프로젝트 프로젝트
- On Efficient Distillation from LLMs to SLMs
  
  Metod Jazbec, Menglin Xia, Ankur Mallick, Daniel Madrigal, Dongge Han, Samuel Kessler, Victor Ruehle
  
  NeurIPS FITML workshop 2024 | December 2024
  
  Publication 프로젝트
- Exploring How LLMs Capture and Represent Domain-Specific Knowledge
  
  Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal, Ankur Mallick, Anastasios Kyrillidis,, Robert Sim, Victor Ruehle, Saravan Rajmohan
  
  April 2025
  
  Publication 프로젝트
- Project Florida: Federated Learning Made Easy
  
  Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
  
  | July 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트

Daniel Eduardo Madrigal Diaz

출판물

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation

OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

EcoAct: Economic Agent Determines When to Register What Action

Exploring How LLMs Capture and Represent Domain-Specific Knowledge

On Efficient Distillation from LLMs to SLMs

Project Florida: Federated Learning Made Easy

FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation

OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

EcoAct: Economic Agent Determines When to Register What Action

Exploring How LLMs Capture and Represent Domain-Specific Knowledge

On Efficient Distillation from LLMs to SLMs

Project Florida: Federated Learning Made Easy

FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations

FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations

OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation

FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

EcoAct: Economic Agent Determines When to Register What Action

On Efficient Distillation from LLMs to SLMs

Exploring How LLMs Capture and Represent Domain-Specific Knowledge

Project Florida: Federated Learning Made Easy

연락처 Daniel Eduardo Madrigal Diaz

Microsoft Research Lab – Redmond