Daniel Eduardo Madrigal Diaz

Principal Researcher

Publications

Afficher par:

- Towards Active Synthetic Data Generation for Finetuning Language Models
  
  Samuel Kessler, Menglin Xia, Daniel Madrigal, Dongge Han, Helia Heshemi, Saravan Rajmohan, Victor Ruehle, Jordan Ash
  
  2026 COLM | February 2026
  
  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
  
  AAMAS 2026 | January 2026
  
  Publication Projet
- 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 Projet
- 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
  
  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 Projet
- 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 Projet Projet
- 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 Projet
- 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 Projet
- Project Florida: Federated Learning Made Easy
  
  Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
  
  | July 2023
  
  Publié par Microsoft
  
  Publication Projet
- FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
  
  Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
  
  March 2022
  
  March 2022
  
  Preprint Github Projet

- Towards Active Synthetic Data Generation for Finetuning Language Models
  
  Samuel Kessler, Menglin Xia, Daniel Madrigal, Dongge Han, Helia Heshemi, Saravan Rajmohan, Victor Ruehle, Jordan Ash
  
  2026 COLM | February 2026
  
  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
  
  AAMAS 2026 | January 2026
  
  Publication Projet
- 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 Projet
- 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
  
  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 Projet
- 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 Projet Projet
- 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 Projet
- 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 Projet
- Project Florida: Federated Learning Made Easy
  
  Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
  
  | July 2023
  
  Publié par Microsoft
  
  Publication Projet
- FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
  
  Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
  
  March 2022
  
  March 2022
  
  Preprint Github Projet
- FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
  
  Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
  
  March 2022
  
  March 2022
  
  Preprint Github Projet

- Towards Active Synthetic Data Generation for Finetuning Language Models
  
  Samuel Kessler, Menglin Xia, Daniel Madrigal, Dongge Han, Helia Heshemi, Saravan Rajmohan, Victor Ruehle, Jordan Ash
  
  2026 COLM | February 2026
  
  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
  
  AAMAS 2026 | January 2026
  
  Publication Projet
- 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 Projet
- 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 Projet Projet
- 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 Projet
- 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 Projet
- 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
  
  DOI Publication Publication
- 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 Projet
- Project Florida: Federated Learning Made Easy
  
  Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
  
  | July 2023
  
  Publié par Microsoft
  
  Publication Projet
- FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
  
  Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
  
  March 2022
  
  March 2022
  
  Preprint Github Projet

Daniel Eduardo Madrigal Diaz

Publications

Towards Active Synthetic Data Generation for Finetuning Language Models

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

Towards Active Synthetic Data Generation for Finetuning Language Models

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

Towards Active Synthetic Data Generation for Finetuning Language Models

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

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

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

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

Exploring How LLMs Capture and Represent Domain-Specific Knowledge

Project Florida: Federated Learning Made Easy

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