Mohammed Muqeeth

11 papers A* 3Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning.
Trans. Mach. Learn. Res.
Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni
2025 J jnl
Learning Robust Social Strategies with Large Language Models.
CoRR
Dereck Piche, Mohammed Muqeeth, Milad Aghajohari, Juan Agustin Duque, Michael Noukhovitch, Aaron C. Courville
2024 J jnl
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning.
CoRR
Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni
2024 A* conf
Learning to Route Among Specialized Experts for Zero-Shot Generalization.
ICML
Mohammed Muqeeth, Haokun Liu, Yufan Liu, Colin Raffel
2024 J jnl
Learning to Route Among Specialized Experts for Zero-Shot Generalization.
CoRR
Mohammed Muqeeth, Haokun Liu, Yufan Liu, Colin Raffel
2024 J jnl
Soft Merging of Experts with Adaptive Routing.
Trans. Mach. Learn. Res.
Mohammed Muqeeth, Haokun Liu, Colin Raffel
2023 A* conf
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models.
ICML
Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel
2023 J jnl
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models.
CoRR
Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel
2023 J jnl
Soft Merging of Experts with Adaptive Routing.
CoRR
Mohammed Muqeeth, Haokun Liu, Colin Raffel
2022 A* conf
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning.
NeurIPS
Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel
2022 J jnl
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning.
CoRR
Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel