SAFEERASER: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning

Kavli Affiliate: Jia Liu | First 5 Authors: Junkai Chen, Zhijie Deng, Kening Zheng, Yibo Yan, Shuliang Liu | Summary: As Multimodal Large Language Models (MLLMs) develop, their potential security issues have become increasingly prominent. Machine Unlearning (MU), as an effective strategy for forgetting specific knowledge in training data, has been widely used in privacy […]


Continue.. SAFEERASER: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning

EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning

Kavli Affiliate: Ke Wang | First 5 Authors: Xiaoqian Liu, Ke Wang, Yongbin Li, Yuchuan Wu, Wentao Ma | Summary: Large Language Models (LLMs) have shown impressive reasoning capabilities in well-defined problems with clear solutions, such as mathematics and coding. However, they still struggle with complex real-world scenarios like business negotiations, which require strategic reasoning-an […]


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EquiBench: Benchmarking Code Reasoning Capabilities of Large Language Models via Equivalence Checking

Kavli Affiliate: Ke Wang | First 5 Authors: Anjiang Wei, Jiannan Cao, Ran Li, Hongyu Chen, Yuhui Zhang | Summary: Equivalence checking, i.e., determining whether two programs produce identical outputs for all possible inputs, underpins a broad range of applications, including software refactoring, testing, and optimization. We present the task of equivalence checking as a […]


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Dominant Role of Coplanar Inflows in Driving Disk Evolution Revealed by Gas-Phase Metallicity Gradients

Kavli Affiliate: Yingjie Peng | First 5 Authors: Cheqiu Lyu, Enci Wang, Hongxin Zhang, Yingjie Peng, Xin Wang | Summary: Using spatially resolved spectroscopic data from the MaNGA sample, we investigate the parameters influencing the radial gradients of gas-phase metallicity ($nablalog(mathrm{O/H})$), to determine whether disk formation is primarily driven by coplanar gas inflow or by […]


Continue.. Dominant Role of Coplanar Inflows in Driving Disk Evolution Revealed by Gas-Phase Metallicity Gradients

The life cycle of giant molecular clouds in simulated Milky Way-mass galaxies

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Yang Ni, Hui Li, Mark Vogelsberger, Laura V. Sales, Federico Marinacci | Summary: In this work, we trace the complete life cycle of individual GMCs in high-resolution Milky Way-mass galaxy simulations to determine how different stellar feedback mechanisms and galactic-scale processes govern cloud lifetimes, mass evolution, and […]


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JADES: Average Nitrogen Enhancement in High-Redshift Broad-Line Active Galactic Nuclei

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Yuki Isobe, Roberto Maiolino, Francesco D’Eugenio, Mirko Curti, Xihan Ji | Summary: The unexpectedly high nitrogen-to-oxygen (N/O) ratios observed in high-redshift (z) galaxies have challenged our understanding of early star formation. Notably, many of these nitrogen-rich galaxies show signatures of active galactic nuclei (AGNs), suggesting a possible […]


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CSST Large Scale Structure Analysis Pipeline: III. Emission-line Redshift Measurement for Slitless Spectra

Kavli Affiliate: Hu Zhan | First 5 Authors: Jipeng Sui, Hu Zou, Xiaohu Yang, Xianzhong Zheng, Run Wen | Summary: The China Space Station Telescope (CSST) is a forthcoming space-based optical telescope designed to co-orbit with the Chinese Space Station. With a planned slitless spectroscopic survey spanning a broad wavelength range of $255-1000$nm and an […]


Continue.. CSST Large Scale Structure Analysis Pipeline: III. Emission-line Redshift Measurement for Slitless Spectra

A Catalog of Local Universe Fast Radio Bursts from CHIME/FRB and the KKO Outrigger

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Mandana Amiri, Daniel Amouyal, Bridget C. Andersen, Shion Andrew, Kevin Bandura | Summary: We present the first catalog of fast radio burst (FRB) host galaxies from CHIME/FRB Outriggers, selected uniformly in the radio and the optical by localizing 81 new bursts to 2” x ~60” accuracy […]


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Simplify RLHF as Reward-Weighted SFT: A Variational Method

Kavli Affiliate: Zhuo Li | First 5 Authors: Yuhao Du, Zhuo Li, Pengyu Cheng, Zhihong Chen, Yuejiao Xie | Summary: Reinforcement Learning from Human Feedback (RLHF) is crucial for aligning Large Language Models (LLMs) with human values. However, RLHF has been continuously challenged by its high complexity in implementation and computation consumption. Even with recent […]


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Systematic study of the composition of Type I X-ray burst ashes: Neutron star structure v.s. Reaction rate uncertainties

Kavli Affiliate: Renxin Xu | First 5 Authors: Guoqing Zhen, Helei Liu, Akira Dohi, Guoliang Lü, Nobuya Nishimura | Summary: In this study, we calculate for the first time the impacts of neutron star(NS) structure on the type I X-ray burst ashes using the texttt{MESA} code. We find an increased mass fraction of the heavier […]


Continue.. Systematic study of the composition of Type I X-ray burst ashes: Neutron star structure v.s. Reaction rate uncertainties