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Author

Alexander Apartsin

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#diffusion models Dataset Open access Oct 2026

ELF: the Energy-Latency Frontier dataset for GPU inference

A dense power-response dataset for AI inference on data-center GPUs. For 20 inference models (LLM decode, Stable-Diffusion UNet, ViT, and CNNs) across four NVIDIA GPUs (T4, L4, A10G, A100), it sweeps the board power limit from the driver floor to TDP, and, via a graphics-clock (DVFS) sweep, reaches below that floor, re...

Alexander Apartsin, Yehudit Aperstein · 0 citations
#diffusion models Dataset Open access Oct 2026

ELF: the Energy-Latency Frontier dataset for GPU inference

A dense power-response dataset for AI inference on data-center GPUs. For 20 inference models (LLM decode, Stable-Diffusion UNet, ViT, and CNNs) across four NVIDIA GPUs (T4, L4, A10G, A100), it sweeps the board power limit from the driver floor to TDP, and, via a graphics-clock (DVFS) sweep, reaches below that floor, re...

Alexander Apartsin, Yehudit Aperstein · 0 citations
#large language models Open access Sep 2026

LLM-guided headline rewriting for clickability enhancement without clickbait

Optimizing news headlines for reader engagement is often conflated with clickbait, producing exaggerated or misleading phrasing that erodes editorial trust. We reframe clickbait not as a separate category but as the disproportionate amplification of otherwise legitimate engagement cues, and cast headline rewriting as a...

Yehudit Aperstein, Linoy Halifa, Sagiv Bar et al. · 0 citations

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