TWLA is a PTQ method using E2M-ATQ, KOTMS, and ILA-AMP to enable W1.58A4 quantization for LLMs with maintained accuracy.
arXiv preprint arXiv:2502.00333 (2025)
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PEPA is a post-encoder adapter combining target-conditioned snake upsampling and adaptive differentiable thresholding that improves topological metrics over region overlap when added to frozen-encoder curvilinear segmentation baselines.
citing papers explorer
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TWLA: Achieving Ternary Weights and Low-Bit Activations for LLMs via Post-Training Quantization
TWLA is a PTQ method using E2M-ATQ, KOTMS, and ILA-AMP to enable W1.58A4 quantization for LLMs with maintained accuracy.
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From Reconstruction to Decision: A Post-Encoder Plug-in Adapter for Curvilinear Segmentation
PEPA is a post-encoder adapter combining target-conditioned snake upsampling and adaptive differentiable thresholding that improves topological metrics over region overlap when added to frozen-encoder curvilinear segmentation baselines.