T. Ma

collaborators

4 papers

hep-ex2026

Observation of the $X (2370)$ in $J / I ¨ \to I^^{3} K_{S}^{0} K_{S}^{0} I ¨ ^{0}$ and $J / I ¨ \to I^^{3} I ¨ ^{0} I ¨ ^{0} I^\cdot$

BESIII Collaboration, M. Ablikim, M. N. Achasov +767

Based on $(10087 \pm 44) \times 1 0^{6}$ $J / I ¨ $ events collected with the BESIII detector, the $J / I ¨ \to I^^{3} K_{S}^{0} K_{S}^{0} I ¨ ^{0}$ and $J / I ¨ \to I^^{3} I ¨ ^{0} I ¨ ^{0} I^\cdot$ processe…

cs.LG2026

BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization

Jiayu Zhao, Zihan Teng, Minhao Fan +4

Mixture-of-Experts (MoE) large language models reduce per-token computation through sparse expert activation, but their deployment remains memory-intensive because all expert weigh…

cs.AR2026

Hardwired-Neurons Language Processing Units as General-Purpose Cognitive Substrates

Yang Liu, Yi Chen, Yongwei Zhao +24

The rapid advancement of Large Language Models (LLMs) has established language as a core general-purpose cognitive substrate, driving the demand for specialized Language Processing…

cs.AR2025

QiMeng: Fully Automated Hardware and Software Design for Processor Chip

Rui Zhang, Yuanbo Wen, Shuyao Cheng +17

Processor chip design technology serves as a key frontier driving breakthroughs in computer science and related fields. With the rapid advancement of information technology, conven…

Observation of the X(2370) in J/I¨→I^3KS0​KS0​I¨0 and J/I¨→I^3I¨0I¨0I^⋅

BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization

Hardwired-Neurons Language Processing Units as General-Purpose Cognitive Substrates

QiMeng: Fully Automated Hardware and Software Design for Processor Chip

Observation of the $X (2370)$ in $J / I ¨ \to I^^{3} K_{S}^{0} K_{S}^{0} I ¨ ^{0}$ and $J / I ¨ \to I^^{3} I ¨ ^{0} I ¨ ^{0} I^\cdot$