Mirian Hipolito Garcia

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

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

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation

Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Anastasios Kyrillidis, Robert Sim

ArXiv | October 2023, Vol abs/2310.02842

DOI Publication Publication Publication

Federated Multilingual Models for Medical Transcript Analysis

Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis

Conference on Health, Inference, and Learning | June 2023

Publication

FedJETs: Efficient Just-In-Time Personalization with Federated Mixture of Experts

Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis

June 2023

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 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

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

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation

Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Anastasios Kyrillidis, Robert Sim

ArXiv | October 2023, Vol abs/2310.02842

DOI Publication Publication Publication

Federated Multilingual Models for Medical Transcript Analysis

Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis

Conference on Health, Inference, and Learning | June 2023

Publication

FedJETs: Efficient Just-In-Time Personalization with Federated Mixture of Experts

Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis

June 2023

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 Projet

Federated Multilingual Models for Medical Transcript Analysis

Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis

Conference on Health, Inference, and Learning | June 2023

Publication

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 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

Federated Multilingual Models for Medical Transcript Analysis

Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis

Conference on Health, Inference, and Learning | June 2023

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

FedJETs: Efficient Just-In-Time Personalization with Federated Mixture of Experts

Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis

June 2023

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation

Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Anastasios Kyrillidis, Robert Sim

ArXiv | October 2023, Vol abs/2310.02842

DOI Publication Publication Publication

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 Projet