ToolCoder: Teach Code Generation Models to use API search tools

Kavli Affiliate: Zhuo Li | First 5 Authors: Kechi Zhang, Huangzhao Zhang, Ge Li, Jia Li, Zhuo Li | Summary: Automatically generating source code from natural language descriptions has been a growing field of research in recent years. However, current large-scale code generation models often encounter difficulties when selecting appropriate APIs for specific contexts. These […]


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Feasibility of Passive Sounding of Uranian Moons using Uranian Kilometric Radiation

Kavli Affiliate: Dustin M. Schroeder | First 5 Authors: Andrew Romero-Wolf, Gregor Steinbruegge, Julie Castillo-Rogez, Corey J. Cochrane, Tom A. Nordheim | Summary: We present a feasibility study for passive sounding of Uranian icy moons using Uranian Kilometric Radio (UKR) emissions in the 100 – 900 kHz band. We provide a summary description of the […]


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Gravity of gluonic fluctuations and the value of the cosmological constant

Kavli Affiliate: Craig Hogan | First 5 Authors: Kris Mackewicz, Craig Hogan, , , | Summary: We analyze the classical linear gravitational effect of idealized pion-like dynamical systems, consisting of light quarks connected by attractive gluonic material with a stress-energy $p=-rho c^2$ in one or more dimensions. In one orbit of a system of total […]


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Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Eric Gan, Max Tegmark, , | Summary: We introduce Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable. Inspired by brains, BIMT embeds neurons in a geometric space and augments the loss function with a cost proportional to the length […]


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Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Eric Gan, Max Tegmark, , | Summary: We introduce Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable. Inspired by brains, BIMT embeds neurons in a geometric space and augments the loss function with a cost proportional to the length […]


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Correcting for Interference in Experiments: A Case Study at Douyin

Kavli Affiliate: Huawei Zhang | First 5 Authors: Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang | Summary: Interference is a ubiquitous problem in experiments conducted on two-sided content marketplaces, such as Douyin (China’s analog of TikTok). In many cases, creators are the natural unit of experimentation, but creators interfere with each […]


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Resolving the muon $g-2$ tension through $Z’$-induced modifications to $σ_{mathrm{had}}$

Kavli Affiliate: Carlos E. M. Wagner | First 5 Authors: Nina M. Coyle, Carlos E. M. Wagner, , , | Summary: The QED hadronic vacuum polarization function plays an important role in the determination of precision electroweak observables and of the anomalous magnetic moment of the muon. These contributions have been computed from data, by […]


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Inspiraling streams of enriched gas observed around a massive galaxy 11 billion years ago

Kavli Affiliate: Ran Wang | First 5 Authors: Shiwu Zhang, Zheng Cai, Dandan Xu, Rhythm Shimakawa, Fabrizio Arrigoni Battaia | Summary: Stars form in galaxies, from gas that has been accreted from the intergalactic medium. Simulations have shown that recycling of gas-the reaccretion of gas that was previously ejected from a galaxy-could sustain star formation […]


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Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models

Kavli Affiliate: Jing Wang | First 5 Authors: Qiufeng Wang, Xu Yang, Shuxia Lin, Jing Wang, Xin Geng | Summary: During the continuous evolution of one organism’s ancestry, its genes accumulate extensive experiences and knowledge, enabling newborn descendants to rapidly adapt to their specific environments. Motivated by this observation, we propose a novel machine learning […]


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Observationally guided models for the solar dynamo and the role of the surface field

Kavli Affiliate: Robert Cameron | First 5 Authors: Robert Cameron, Manfred Schüssler, , , | Summary: Theoretical models for the solar dynamo range from simple low-dimensional “toy models” to complex 3D-MHD simulations. Here we mainly discuss appproaches that are motivated and guided by solar (and stellar) observations. We give a brief overview of the evolution […]


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