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Metamath
Metamath
PulseAugur coverage of Metamath — every cluster mentioning Metamath across labs, papers, and developer communities, ranked by signal.
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RECENT · PAGE 1/1 · 2 TOTAL
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LLM pruning faces capability trade-offs; new method improves retention
Researchers have identified a trade-off in pruning large language models, where calibration data that improves general capabilities can harm performance on specialized tasks like coding and math. To address this, they p…
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New methods like SMF and SAM reduce catastrophic forgetting in LLMs
Two new research papers explore methods to mitigate catastrophic forgetting in language models during fine-tuning. One paper introduces Sparse Memory Finetuning (SMF), which adds memory layers and updates only heavily a…