BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning | ScienceToStartup | ScienceToStartup

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References (48)

[1]

Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent

2025Yongxian Wei, A. Tang et al.

[2]

Task Singular Vectors: Reducing Task Interference in Model Merging

2024Antonio Andrea Gargiulo, Donato Crisostomi et al.

[3]

Parameter Competition Balancing for Model Merging

Founder's Pitch

"Develop a bias-aware dynamic model merging tool to improve multi-task learning under distribution shifts."

Multi-task Learning•Score: 5•View PDF ↗

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BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning

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References (48)

Founder's Pitch

"Develop a bias-aware dynamic model merging tool to improve multi-task learning under distribution shifts."

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BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning

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References (48)

Founder's Pitch

"Develop a bias-aware dynamic model merging tool to improve multi-task learning under distribution shifts."

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