Otters++ realizes TTFS via measured device decay in optical synapses, uses hybrid QNN-equivalent training with noise awareness, and reports 84.17% average GLUE score with energy gains over prior spiking transformers.
Spiking vision transformer with saccadic attention
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Unlearning a demographic group in CLIP models redistributes bias primarily along gender boundaries rather than eliminating it.
citing papers explorer
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Otters++: A Time-to-first-spike Based Energy Efficient Optical Spiking Transformer
Otters++ realizes TTFS via measured device decay in optical synapses, uses hybrid QNN-equivalent training with noise awareness, and reports 84.17% average GLUE score with energy gains over prior spiking transformers.
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Bias Redistribution in Visual Machine Unlearning: Does Forgetting One Group Harm Another?
Unlearning a demographic group in CLIP models redistributes bias primarily along gender boundaries rather than eliminating it.