No Disconnection Syndrome after Near-Complete Callosotomy

Kavli Affiliate: Michael Miller | Authors: Selin Bekir, Johanna L. Hopf, Theresa Paul, Valerie M. Wiemer, Tyler Santander, Henri E. Skinner, Anna Rada, Friedrich G. Woermann, Thilo Kalbhenn, Barry Giesbrecht, Christian G. Bien, Olaf Sporns, Michael S. Gazzaniga, Lukas J. Volz and Michael B. Miller | Summary: Much of the sensory-motor processing in the human […]


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Unveiling a Hidden Percolation Transition in Monitored Clifford Circuits: Inroads from ZX-Calculus

Kavli Affiliate: Debanjan Chowdhury | First 5 Authors: Einat Buznach, Debanjan Chowdhury, Jonathan Ruhman, , | Summary: We revisit the measurement-induced phase transition (MPT) in Clifford circuits, which are both classically simulable and exhibit critical behavior widely believed to be distinct from classical percolation theory, using ZX-calculus. We analyze the MPT in a dynamical model […]


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High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Yang Zhang, Lukas Mehl, Markus Gross, Christopher Schroers | Summary: Despite recent advances in Novel View Synthesis (NVS), generating high-fidelity views from single or sparse observations remains a significant challenge. Existing splatting-based approaches often produce distorted geometry due to splatting errors. While diffusion-based methods leverage […]


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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 […]


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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