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Derek Tam Derek Tam dt [dot] derek [dot] tam [at] gmail.com [ Google Scholar ] [ Github ] I am a Ph.D. student at the University of Toronto advised by Colin Raffel , working in machine learning and NLP. I am interested in model merging and understanding why different merging methods behave the way they do. Previously, I worked on parameter-efficient fine-tuning and few-shot learning. Publications Merging by Matching Models in Task Subspaces Derek Tam , Mohit Bansal, Colin Raffel TMLR March 2024 TIES-Merging: Resolving Interference When Merging Models Prateek Yadav, Derek Tam , Leshem Choshen, Colin Raffel, Mohit Bansal Conference on Neural Information Processing Systems NeurIps 2023. Simple Weakly-Supervised Image Captioning via CLIP's Multimodal Embeddings Derek Tam , Colin Raffel, Mohit Bansal AAAI Workshop on Creative AI Across Modalities, 2023. February 2023. Evaluating the Factual Consistency of Large Language Models Th...
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