Pretrained Models
PulseAugur coverage of Pretrained Models — every cluster mentioning Pretrained Models across labs, papers, and developer communities, ranked by signal.
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New methodology enhances frequency-based adversarial attacks on neural networks
Researchers have introduced a new methodology for creating frequency-based adversarial attacks, which exploit spectral sensitivities in neural networks. This approach is framed within a dedicated optimization framework …
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Persistent homology tracks LLM representation changes during fine-tuning
Researchers have employed persistent homology to analyze the internal representation dynamics of large language models during supervised fine-tuning. Their study, which examined four transformer models (1B to 7B paramet…
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New methods refine LLM fine-tuning for better performance
Researchers have developed new methods to improve supervised fine-tuning (SFT) for large language models. One approach, FisherAdapTune, uses the Fisher information geometry to dynamically select parameter groups for ada…