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
Daniel Eduardo Madrigal Diaz
Senior Research Software Engineering
Papiers de Collaboration
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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
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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
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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
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Project Florida: Federated Learning Made Easy
Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
| July 2023
Publié par Microsoft
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FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
March 2022
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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
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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
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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
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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
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Project Florida: Federated Learning Made Easy
Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
| July 2023
Publié par Microsoft
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FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
March 2022
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FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
March 2022
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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
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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
-
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
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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
-
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Project Florida: Federated Learning Made Easy
Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
| July 2023
Publié par Microsoft
-
-
-
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
March 2022
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