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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Physical Space Proof of Bilinear Estimates and Applications to Nonlinear Dispersive Equations

Kavli Affiliate: Yi Zhou | First 5 Authors: Li Tu, Yi Zhou, , , | Summary: We give a simpler proof for the local well-posedness of the modified Korteweg-de Vries equations and modified Benjamin-Ono equation in $H^{frac{1}{4}}(mathbb{R})$ and $H^{frac{1}{2}}(mathbb{R})$, respectively. The proof is based on the Strichartz estimate, dyadic decomposition and a bilinear estimate given […]


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DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Guosheng Zhao, Chaojun Ni, Xiaofeng Wang, Zheng Zhu, Guan Huang | Summary: Closed-loop simulation is essential for advancing end-to-end autonomous driving systems. Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on conditions closely aligned with training data distributions, which are largely confined to forward-driving […]


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DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Guosheng Zhao, Chaojun Ni, Xiaofeng Wang, Zheng Zhu, Xueyang Zhang | Summary: Closed-loop simulation is essential for advancing end-to-end autonomous driving systems. Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on conditions closely aligned with training data distributions, which are largely confined to forward-driving […]


Continue.. DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Guosheng Zhao, Chaojun Ni, Xiaofeng Wang, Zheng Zhu, Xueyang Zhang | Summary: Closed-loop simulation is essential for advancing end-to-end autonomous driving systems. Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on conditions closely aligned with training data distributions, which are largely confined to forward-driving […]


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Measuring Non-Hermitian Topological Invariants Directly from Quench Dynamics

Kavli Affiliate: Long Zhang | First 5 Authors: Xiao-Dong Lin, Long Zhang, , , | Summary: While non-Hermitian (NH) topological phases and phenomena have been observed across various quantum systems, directly measuring NH topological invariants remains a significant challenge. In this study, we present a generic and unified framework for the direct measurement of various […]


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