Optimizing Neon-based Gas Mixtures for Two-stage Amplification Fast-timing Micromegas Detectors

Kavli Affiliate: Yi Zhou | First 5 Authors: Yue Meng, Xu Wang, Jianbei Liu, Ming Shao, Zhiyong Zhang | Summary: Working gas components significantly impact the performance of gaseous detectors. A fast-timing Micromegas detector with two-stage amplification is prone to notable deterioration of uniformity when scaled up. This paper presents a simulation study based on […]


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Flat-space limit of defect correlators and stringy AdS form factors

Kavli Affiliate: Xinan Zhou | First 5 Authors: Luis F. Alday, Xinan Zhou, , , | Summary: We study AdS form factors, given by the Mellin representation for CFT correlators of local operators in the presence of extended defects. We propose a formula for taking (and expanding around) the flat-space limit. This formula relates the […]


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Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey

Kavli Affiliate: Yi Zhou | First 5 Authors: Ao Fu, Yi Zhou, Tao Zhou, Yi Yang, Bojun Gao | Summary: World models and video generation are pivotal technologies in the domain of autonomous driving, each playing a critical role in enhancing the robustness and reliability of autonomous systems. World models, which simulate the dynamics of […]


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Resurgence of $Tbar{T}$-deformed Partition Function

Kavli Affiliate: Huajia Wang | First 5 Authors: Jie Gu, Yunfeng Jiang, Huajia Wang, , | Summary: We study non-perturbative effects of torus partition function of the $Tbar{T}$-deformed 2d CFTs by resurgence. The deformed partition function can be written as an infinite series of the deformation parameter $lambda$. We develop highly efficient methods to compute […]


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A Modulo Sampling Hardware Prototype and Reconstruction Algorithm Evaluation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Jiang Zhu, Junnan Ma, Zhenlong Liu, Fengzhong Qu, Zheng Zhu | Summary: Analog-to-digital converters (ADCs) play a vital important role in any devices via manipulating analog signals in a digital manner. Given that the amplitude of the signal exceeds the dynamic range of the ADCs, clipping occurs […]


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MAP: Multi-Human-Value Alignment Palette

Kavli Affiliate: Yi Zhou | First 5 Authors: Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou | Summary: Ensuring that generative AI systems align with human values is essential but challenging, especially when considering multiple human values and their potential trade-offs. Since human values can be personalized and dynamically change over time, the […]


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Tetragonal BaCoO$_3$: A Co$^{4+}$ Ferromagnetic Mott Insulator with Inverted Spin Crossover

Kavli Affiliate: Cheng Peng | First 5 Authors: Mingyu Xu, Haozhe Wang, Krishna Prasad Koirala, Corey Melnick, Cheng Peng | Summary: The interplay between crystal electric field splitting of d states and Hund’s rule exchange energy in cobalt-based perovskites offers a promising avenue for inducing spin-state transitions. This study reports a new body-centered tetragonal (BCT) […]


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Ubiquitous Field Transportation Robots with Robust Wheel-Leg Transformable Modules

Kavli Affiliate: Zheng Zhu | First 5 Authors: Haoran Wang, Cunxi Dai, Siyuan Wang, Ximan Zhang, Zheng Zhu | Summary: This paper introduces two field transportation robots. Both robots are equipped with transformable wheel-leg modules, which can smoothly switch between operation modes and can work in various challenging terrains. SWhegPro, with six S-shaped legs, enables […]


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Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learning

Kavli Affiliate: Yi Zhou | First 5 Authors: Heshan Fernando, Han Shen, Parikshit Ram, Yi Zhou, Horst Samulowitz | Summary: Post-training of pre-trained LLMs, which typically consists of the supervised fine-tuning (SFT) stage and the preference learning (RLHF or DPO) stage, is crucial to effective and safe LLM applications. The widely adopted approach in post-training […]


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Independently-Normalized SGD for Generalized-Smooth Nonconvex Optimization

Kavli Affiliate: Yi Zhou | First 5 Authors: Yufeng Yang, Erin Tripp, Yifan Sun, Shaofeng Zou, Yi Zhou | Summary: Recent studies have shown that many nonconvex machine learning problems meet a so-called generalized-smooth condition that extends beyond traditional smooth nonconvex optimization. However, the existing algorithms designed for generalized-smooth nonconvex optimization encounter significant limitations in […]


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