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The study applies spectral smoothing and spiking perturbations to transformer feed-forward matrices and measures effects on capability-labeled subtasks and reasoning benchmarks.
Source: arXiv cs.CL
https://arxiv.org/abs/2610.30676
#MachineLearning
Natural language autoencoders translate internal representations of large language models into human-readable text. Experiments provide evidence supporting a largely positive answer to four questions regarding NLA generalization.
Source: arXiv cs.CL
https://arxiv.org/abs/2610.30934
#MachineLearning
Per-option scoring outperforms joint scoring in a three-seed study at 32 million parameters, improving chance-corrected skill by 5.8 points on a 37-benchmark suite.
Source: arXiv cs.CL
https://arxiv.org/abs/2610.30970
#MachineLearning
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