Tootfinder

Baltimore mayor & council members introduce comprehensive yimby package. Has backing of city's main business & community action organizations:
● Legalize 2-, 3- & 4-unit houses in 1-family districts
● Abolish minimum off-street parking requirements
● Legalize single-staircase structures with more than 3 stories
I don't think I've seen all this in one package anywhere up to now.

Baltimore’s top YIMBYs want to erase zoning rules blocking more housing
A package of five bills will attempt to make it easier to build and redevelop Baltimore City properties.

Enhancement Report Approval Prediction: A Comparative Study of Large Language Models
Haosheng Zuo, Feifei Niu, Chuanyi Li
https://arxiv.org/abs/2506.15098 …

Enhancement Report Approval Prediction: A Comparative Study of Large Language Models
Enhancement reports (ERs) serve as a critical communication channel between users and developers, capturing valuable suggestions for software improvement. However, manually processing these reports is resource-intensive, leading to delays and potential loss of valuable insights. To address this challenge, enhancement report approval prediction (ERAP) has emerged as a research focus, leveraging machine learning techniques to automate decision-making. While traditional approaches have employed fe…

OneRec Technical Report
Guorui Zhou, Jiaxin Deng, Jinghao Zhang, Kuo Cai, Lejian Ren, Qiang Luo, Qianqian Wang, Qigen Hu, Rui Huang, Shiyao Wang, Weifeng Ding, Wuchao Li, Xinchen Luo, Xingmei Wang, Zexuan Cheng, Zixing Zhang, Bin Zhang, Boxuan Wang, Chaoyi Ma, Chengru Song, Chenhui Wang, Di Wang, Dongxue Meng, Fan Yang, Fangyu Zhang, Feng Jiang, Fuxing Zhang, Gang Wang, Guowang Zhang, Han Li, Hengrui Hu, Hezheng Lin, Hongtao Cheng, Hongyang Cao, Huanjie Wang, Jiaming Huang, Jiapeng Che…

OneRec Technical Report
Recommender systems have been widely used in various large-scale user-oriented platforms for many years. However, compared to the rapid developments in the AI community, recommendation systems have not achieved a breakthrough in recent years. For instance, they still rely on a multi-stage cascaded architecture rather than an end-to-end approach, leading to computational fragmentation and optimization inconsistencies, and hindering the effective application of key breakthrough technologies from …

Gradient-Normalized Smoothness for Optimization with Approximate Hessians
Andrei Semenov, Martin Jaggi, Nikita Doikov
https://arxiv.org/abs/2506.13710 http…

Gradient-Normalized Smoothness for Optimization with Approximate Hessians
In this work, we develop new optimization algorithms that use approximate second-order information combined with the gradient regularization technique to achieve fast global convergence rates for both convex and non-convex objectives. The key innovation of our analysis is a novel notion called Gradient-Normalized Smoothness, which characterizes the maximum radius of a ball around the current point that yields a good relative approximation of the gradient field. Our theory establishes a natural …

Heizungsgesetz - wie Populisten die Wärmewende behinderten
> Was die Studienautoren überrascht hat, waren weniger die typisch populistischen Diskurs-Strategien als vielmehr die Akteure selbst, sagt Haas: "Wie nah die Argumentationsweise der Unionsparteien an der der AfD war. Die AfD war sicher noch schärfer und polemischer, aber insgesamt lässt sich da in der Logik der Argumentation eine große Nähe feststellen."

Rund um den #Jordansprudel im #Audi!
Der Grund, warum er überhaupt so weit gekommen ist, sind die nicht wieder an Ort und Stelle verbrachten #Poller im Weg. Gerne werden die von Stadtwerken u…

ECLIP: Energy-efficient and Practical Co-Location of ML Inference on Spatially Partitioned GPUs
Ryan Quach, Yidi Wang, Ali Jahanshahi, Daniel Wong, Hyoseung Kim
https://arxiv.org/abs/2506.12598

ECLIP: Energy-efficient and Practical Co-Location of ML Inference on Spatially Partitioned GPUs
As AI inference becomes mainstream, research has begun to focus on improving the energy consumption of inference servers. Inference kernels commonly underutilize a GPU's compute resources and waste power from idling components. To improve utilization and energy efficiency, multiple models can co-locate and share the GPU. However, typical GPU spatial partitioning techniques often experience significant overheads when reconfiguring spatial partitions, which can waste additional energy through rep…

Masked Language Models are Good Heterogeneous Graph Generalizers
Jinyu Yang, Cheng Yang, Shanyuan Cui, Zeyuan Guo, Liangwei Yang, Muhan Zhang, Chuan Shi
https://arxiv.org/abs/2506.06157

Masked Language Models are Good Heterogeneous Graph Generalizers
Heterogeneous graph neural networks (HGNNs) excel at capturing structural and semantic information in heterogeneous graphs (HGs), while struggling to generalize across domains and tasks. Recently, some researchers have turned to integrating HGNNs with large language models (LLMs) for more generalizable heterogeneous graph learning. However, these approaches typically extract structural information via HGNNs as HG tokens, and disparities in embedding spaces between HGNNs and LLMs have been shown…

Vacation officially started with a cup of ice cream 😊
#vacation #bayern

Inferring Obscured Cosmic Black Hole Accretion History from AGN Found by JWST/MIRI CEERS Survey
C. -A. Hsieh (Department of Physics, National Taiwan University), T. Goto (Institute of Astronomy, National Tsing Hua University, Department of Physics, National Tsing Hua University), C. -T. Ling (Institute of Astronomy, National Tsing Hua University), S. J. Kim (Institute of Astronomy, National Tsing Hua University), T. Hashimoto (Department of Physics, National Chung Hsing University), T.…

Inferring Obscured Cosmic Black Hole Accretion History from AGN Found by JWST/MIRI CEERS Survey
This study presents the black hole accretion history (BHAH) of obscured active galactic nuclei (AGNs) identified from the JWST CEERS survey by Chien et al. (2024) using mid-infrared (MIR) SED fitting. We compute black hole accretion rates (BHARs) to estimate the black hole accretion density (BHAD), $ρ_{L_{\mathrm{disk}}}$, across $0 < z < 4.25$. MIR luminosity functions (LFs) are also constructed for these sources, modeled with modified Schechter and double power law forms, and corresponding B…