Hikari Otsuka — accepted AI-conference papers

2026

The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms

Hikari Otsuka, Daiki Chijiwa, Yasuyuki Okoshi, Daichi Fujiki, Susumu Takeuchi, Masato Motomura

AAAI 2026technical

The strong lottery ticket hypothesis (SLTH) conjectures that high-performing subnetworks, called strong lottery tickets (SLTs), are hidden in randomly initialized neural networks. Although recent theoretical studies have established the SLTH across various neural architectures, the SLTH for transfor

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2026

Towards Quantization-Aware Training for Ultra-Low-Bit Reasoning LLMs

Yasuyuki Okoshi, Hikari Otsuka, Daichi Fujiki, Masato Motomura

ICLR 2026poster

Large language models (LLMs) have achieved remarkable performance across diverse reasoning tasks, yet their deployment is hindered by prohibitive computational and memory costs. Quantization-aware training (QAT) enables ultra-low-bit compression (<4 bits per weight), but existing QAT methods often d…

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