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cs.LG2026
Slower Generalization, Faster Memorization: A Sweet Spot in Algorithmic Learning
Shin So, Kyelim Lee, Albert No
Once generalization becomes possible, does adding more data always make learning faster? In Needleman-Wunsch matrix generation, we find that small Transformers reach high exact-mat…
cs.LG2025
Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition
Yoonjun Cho, Soeun Kim, Dongjae Jeon +3
Decomposing weight matrices into quantization and low-rank components () is a widely used technique for compressing large lang…