Task alignment serves as an efficient proxy for hyperparameter selection in model merging, accelerating the process by orders of magnitude while preserving performance in vision models with heterogeneous decoders.
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ORBIT preserves foundational language capabilities during generative retrieval fine-tuning by using origin-regulated weight averaging to constrain parameter drift beyond a distance threshold.
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Task Alignment: A simple and effective proxy for model merging in computer vision
Task alignment serves as an efficient proxy for hyperparameter selection in model merging, accelerating the process by orders of magnitude while preserving performance in vision models with heterogeneous decoders.
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ORBIT: Preserving Foundational Language Capabilities in GenRetrieval via Origin-Regulated Merging
ORBIT preserves foundational language capabilities during generative retrieval fine-tuning by using origin-regulated weight averaging to constrain parameter drift beyond a distance threshold.