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cs.LG2026
SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models
Md Kaykobad Reza, Ameya Patil, Edward Ayrapetian +1
Multimodal large language models (MLLMs) achieve strong performance by jointly processing inputs from multiple modalities, such as vision, audio, and language. However, building su…
cs.LG2025
Discovering Sparse Recovery Algorithms Using Neural Architecture Search
Patrick Yubeaton, Sarthak Gupta, M. Salman Asif +1
The design of novel algorithms for solving inverse problems in signal processing is an incredibly difficult, heuristic-driven, and time-consuming task. In this short paper, we the…