Tootfinder

South Dakota Public Broadcasting plans to lay off 25% of its staff, affecting public affairs programming; CPB funding made up 20% of its FY24 revenue (Julian Wyllie/Current)
https://current.org/2025/08/south-dakota-public-broadcasting-to-reduce-workfor…

Gravity MHV amplitudes via Berends-Giele currents
Chanon Hasuwannakit, Kirill Krasnov
https://arxiv.org/abs/2507.13943 https://arxiv.…

Gravity MHV amplitudes via Berends-Giele currents
Berends and Giele derived the Parke-Taylor formula for Yang-Mills MHV amplitudes by computing Berends-Giele currents involving gluons of all-plus and all-but-one-plus helicities. Remarkably, the all-plus current already encodes much of the Parke-Taylor formula structure. The all-but-one-plus current satisfies a more intricate recursion relation than the all-plus case, but one that can still be solved explicitly. This current turns out to be proportional to the all-plus current, which explains w…

Implications of Current Litigation on the Design of AI Systems for Healthcare Delivery
Gennie Mansi, Mark Riedl
https://arxiv.org/abs/2507.15981 https://…

Implications of Current Litigation on the Design of AI Systems for Healthcare Delivery
Many calls for explainable AI (XAI) systems in medicine are tied to a desire for AI accountability--accounting for, mitigating, and ultimately preventing harms from AI systems. Because XAI systems provide human-understandable explanations for their output, they are often viewed as a primary path to prevent harms to patients. However, when harm occurs, laws, policies, and regulations also shape AI accountability by impacting how harmed individuals can obtain recourse. Current approaches to XAI e…

Stephenson 2 DFK 52 - Discovery of an exotic red #supergiant in the massive stellar cluster RSGC2: https://www.aanda.org/articles/aa/full_html/2025/08/aa55975-25/aa55975-25.html -> Supergiant star’s gigantic bubble surprises scientists: https://www.chalmers.se/en/current/news/see-supergiant-star-s-gigantic-bubble-surprises-scientists/

Role of Ward-Takahashi identity in an electron-phonon coupled system -- Revisiting phonon shift current
Takahiro Morimoto, Naoto Nagaosa
https://arxiv.org/abs/2508.15347 https:/…

Role of Ward-Takahashi identity in an electron-phonon coupled system -- Revisiting phonon shift current
We study bulk photovoltaic effects in electron-phonon coupled systems. The conservation of current or gauge invariance, manifested as the Ward-Takahashi identity, plays an essential role in the analysis of the Feynman diagrams, and the leading order contribution to the phonon shift current is identified accordingly. The leading order contribution essentially arises from the electric polarization carried by optically excited phonons, where the shift current is generated due to a change of electr…

Model of dark current in silicon-based barrier impurity band infrared detector devices
Mengyang Cui, Chengduo Hu, Qing Li, Hongxing Qi
https://arxiv.org/abs/2507.14923

Model of dark current in silicon-based barrier impurity band infrared detector devices
Dark current in silicon-based blocked impurity band (BIB) infrared detectors has long been a critical limitation on device performance. This work proposes a chiral-phonon-assisted spin current model at interfaces to explain the parabolic-like dark current behavior observed at low bias voltages. Concurrently, the spatially-confined charge transport theory is employed to elucidate the dark current generation mechanism across the entire operational voltage range.

Stemming -- The Evolution and Current State with a Focus on Bangla
Abhijit Paul, Mashiat Amin Farin, Sharif Md. Abdullah, Ahmedul Kabir, Zarif Masud, Shebuti Rayana
https://arxiv.org/abs/2508.15711

Stemming -- The Evolution and Current State with a Focus on Bangla
Bangla, the seventh most widely spoken language worldwide with 300 million native speakers, faces digital under-representation due to limited resources and lack of annotated datasets. Stemming, a critical preprocessing step in language analysis, is essential for low-resource, highly-inflectional languages like Bangla, because it can reduce the complexity of algorithms and models by significantly reducing the number of words the algorithm needs to consider. This paper conducts a comprehensive su…

Nine current and ex-Apple staffers accuse Apple VP of Fitness Tech Jay Blahnik of creating a toxic work environment; Apple settled a sexual harassment complaint (Tripp Mickle/New York Times)
https://www.nytimes.com/2025/08/21/technology/apple-fitness-jay-blahnik.…

Apple Fitness Chief Accused of Toxic Workplace Culture and Harassment
Workers say the executive was volatile and retaliated when they cooperated with an investigation. Apple denies the claims.

Improving OCR using internal document redundancy
Diego Belzarena, Seginus Mowlavi, Aitor Artola, Camilo Mari\~no, Marina Gardella, Ignacio Ram\'irez, Antoine Tadros, Roy He, Natalia Bottaioli, Boshra Rajaei, Gregory Randall, Jean-Michel Morel
https://arxiv.org/abs/2508.14557

Improving OCR using internal document redundancy
Current OCR systems are based on deep learning models trained on large amounts of data. Although they have shown some ability to generalize to unseen data, especially in detection tasks, they can struggle with recognizing low-quality data. This is particularly evident for printed documents, where intra-domain data variability is typically low, but inter-domain data variability is high. In that context, current OCR methods do not fully exploit each document's redundancy. We propose an unsupervis…

Definition of Current in Non-Hermitian Quantum Systems
Hiroto Oka
https://arxiv.org/abs/2507.14014 https://arxiv.org/pdf/2507.14014…

Definition of Current in Non-Hermitian Quantum Systems
In recent years, non-Hermitian quantum systems (NHQS) have been actively studied. In conventional quantum mechanics, Hermitisity is a fundamental property of Hamiltonians. However, it is known that when a system interacts with its environment, its time evolution can be effectively described by non-Hermitian Hamiltonians. NHQS are attracting attention because novel physical phenomena not observed in Hermitian systems are predicted due to its non-Hermitisity. In this study, I investigated the def…

This whole opinion, while well-meaning and bringing up generally good points (we humans can decide what technology we research and how we use it)—misses the point: there will not be an “AGI” that derives from current “AI” technology.
What the “AI” companies are proposing and the media is accepting at face value is like saying ever more realistic graphics in computer games will suddenly reach some threshold and the graphics will become the real world.
It’s nonsense.
https://www.theguardian.com/commentisfree/ng-interactive/2025/jul/21/human-level-artificial-intelligence

How Far Are We? An Empirical Analysis of Current Vulnerability Localization Approaches
Haoran Xu, Zhi Chen, Junxiao Han, Xinkui Zhao, Jianwei Yin, Shuiguang Deng
https://arxiv.org/abs/2509.15777

How Far Are We? An Empirical Analysis of Current Vulnerability Localization Approaches
Open-source software vulnerability patch detection is a critical component for maintaining software security and ensuring software supply chain integrity. Traditional manual detection methods face significant scalability challenges when processing large volumes of commit histories, while being prone to human errors and omissions. Existing automated approaches, including heuristic-based methods and pre-trained model solutions, suffer from limited accuracy, poor generalization capabilities, and i…

Based on the current congressional map, Inside Elections rates 64 House seats nationwide as being at least somewhat competitive, with a dozen considered toss-ups.
The Cook Political Report,another gold-plated handicapper, rates 72 seats competitive or having the potential to be so, with 18 toss-ups.
Both agree that two of those coin-flip races are in California, where Democrats Adam Gray and Derek Tran are fighting to hang onto seats they narrowly won in, respectively, the Central…

Barabak: Here's why the redistricting fight is raging. And why it may be moot
The partisan passions suggest control of the House will be decided next year by just a few seats, one way or the other. But that's typically not the case.

In the current times we see that the theoretical framework of realism in world politics is getting more important. Ofcourse people are disappointed about the rule and principal based world order becoming less important. But at the same time states have to defend the interests of their citizens.
https://en.…

Realism (international relations) - Wikipedia

Sara on `scroll-target-group` & `:target-current` and how authors still need to add programmatic info for the current link:
https://www.sarasoueidan.com/blog/css-scrollspy/
Because, like CSS carousels, CSS won’t do it alone.
She filed a Chromium issue:

CSS-only scrollspy effect using scroll-marker-group and :target-current
— The personal website of Sara Soueidan, inclusive Web UI engineer

Working on a project that‘s still in development (creative development) and today I wrote up my recommendations for where it might register its domain names, since the project may not be to the current US presidential administration’s liking.
It is odd that that’s a reasonable concern.
Without a massive (and expensive) site reliability engineering (SRE) team, figuring out what might make things more resilient affordably is a nice way to try to find some control amid the chaos. …

As a geriatric millennial, my joints are inflamed and swollen, making it painful to wave my arms, but the current state of the world compels me to continue waving my hands.

Decentralized AI-driven IoT Architecture for Privacy-Preserving and Latency-Optimized Healthcare in Pandemic and Critical Care Scenarios
Harsha Sammangi (Dakota State University), Aditya Jagatha (College of Business,Information Systems, Dakota State University), Giridhar Reddy Bojja (College of Business, Michigan Technological University), Jun Liu (College of Business,I.S, Dakota State University)

Decentralized AI-driven IoT Architecture for Privacy-Preserving and Latency-Optimized Healthcare in Pandemic and Critical Care Scenarios
AI Innovations in the IoT for Real-Time Patient Monitoring On one hand, the current traditional centralized healthcare architecture poses numerous issues, including data privacy, delay, and security. Here, we present an AI-enabled decentralized IoT architecture that can address such challenges during a pandemic and critical care settings. This work presents our architecture to enhance the effectiveness of the current available federated learning, blockchain, and edge computing approach, maximiz…

Evidence for Half-Quantized Chiral Edge Current in a C = 1/2 Parity Anomaly State
Deyi Zhuo, Bomin Zhang, Humian Zhou, Han Tay, Xiaoda Liu, Zhiyuan Xi, Chui-Zhen Chen, Cui-Zu Chang
https://arxiv.org/abs/2509.15525

Evidence for Half-Quantized Chiral Edge Current in a C = 1/2 Parity Anomaly State
A single massive Dirac surface band is predicted to exhibit a half-quantized Hall conductance, a hallmark of the C = 1/2 parity anomaly state in quantum field theory. Experimental signatures of the C = 1/2 parity anomaly state have been observed in semi-magnetic topological insulator (TI) bilayers, yet whether it supports a half-quantized chiral edge current remains elusive. Here, we observe a robust half-quantized Hall conductance plateau in a molecular beam epitaxy (MBE)-grown asymmetric magn…

I've found an Energy playlist on Apple Music... current track is Destroy by The Prodigy
Sony ULT POWER SOUND® engage!
#Music #Sony #Bass

Q for #WordPress users - is there a site / service where you could give it the URL for a site and see what WordPress theme might be closest to the current look of the site?
I have a number of sites to migrate to WordPress (from TypePad) and I'm looking for a quick way to find a basic theme that provides similar features to what I have in the different sites?

Occasional request for the current Guardian stance vis-a-vis trans people, because I'd like to support one of the few newspapers not owned by fascists but not if they're still TERF-friendly.
Anybody saw terfy content from them in the last year or so?

Current and former HHS staff respond to violent CDC attack: Kennedy and others to blame.
https://www.cidrap.umn.edu/anti-science/current-and-former-hhs-staff-respond-violent-cdc-attack

A stable reference is not necessary for meaning.
If ancient poems have no current similar meanings to use for construction or deconstruction, we all yet understand them as communications. Even over the years, and spaces.
Sometimes their meanings multiply.
#Poetry #Philosophy

the golang discourse reminds me of the term “balge”, short for “by and large good enough”, used to describe software that gets the job done but has misbehaviours and limitations that often cause problems
https://dotat.at/random/info.eagle.current.status

"David Bowie Had it Right: Challenges and Opportunities in Research Data Management"
#RDM

Food Lion had a bottle of Cabernet with a dollar off offer if you bought meat. Just make a copy of your receipt, circle the meat items, and mail it in. Current postage costs 78 cents. Wot??.?

Impact of new measurements of light quarks at hadron colliders
Zihan Zhao, Minghui Liu, Liang Han
https://arxiv.org/abs/2508.14571 https://arxiv.org/pdf/25…

Impact of new measurements of light quarks at hadron colliders
Recently a series of new measurements with both the neutral and charge current Drell--Yan processes have been performed at hadron colliders, showing deviations from the predictions of the current parton distribution functions (PDFs). In this article, the impact of these new measurements is studied by using their results to update the PDFs. Although these new measurements correspond to different boson propagators and colliding energies, they are found to have a similar impact to the light quark …

#Amazon has kept pushing back the date when they say they will enable CDK CLI anonymous telemetry collection. Current enable date is Oct 1, 2025.
Lots of comments suggesting it should be an opt-in, not opt-out.
https://git…

❗ NOTICE: CDK CLI will begin to collect anonymous telemetry data on or after Oct 1st, 2025 · Issue #34892 · aws/aws-cdk
Status In-Progress. Doc page on CLI Telemetry: https://docs.aws.amazon.com/cdk/v2/guide/cli-telemetry.html Last communication on 8/29/25: Hi all, I'm updating the launch date on this thread to say ...

From David Suzuki
Our current economic path leads to disaster
An economic approach that rewards waste, greed and endless growth isn’t compatible with today’s reality. But as some cling to this destructive, outdated, fossil-fuelled system in their pursuit of greater wealth and power, others are experimenting with better ways.
We invent economic systems to facilitate production and distribution of goods, services and wealth, and to maintain societal stability.
...

I am sad to be one of the Canadians who’ve chosen to avoid discretionary travel to the US, under the current government, that they’re talking about in this video.
As a comparison, here are my in-the-US discretionary spends for the first halves of 2023, 2024, 2025. This does not include air travel or accommodation. This is in-person spending on things like restaurants, gas, entertainment, parking, food.
2023Q1Q2: 1763.97 USD
2024Q1Q2: 1455.82 USD
2025Q1Q2: 172.12 USD

https://censorine.com

From Bsky (and colleague):
Cargo Bike Test Drive event is this Saturday AM in Arlington (MA). An event where owners of cargo bikes volunteer their time to help those considering cargo bikes figure out the right cargo bike for them. Test drives in a safe for newbies environment.
https://www.familybikeride.org/testdrive

Family Bike Ride - Cargo Bike Test Drive
Register Location: Thorndike Field on Minuteman Trail This will be our 9th crowd sourced event to benefit parents considering cargo bikes to transport their children by helping them to be able talk to a variety current parent owners that live in their community and try out the bikes. The goal is

If you're in #Utah and wondering about our own gerrymandering case against the #utgop, here's the current situation:

Efficient LLM Inference: Bandwidth, Compute, Synchronization, and Capacity are all you need
Michael Davies, Neal Crago, Karthikeyan Sankaralingam, Christos Kozyrakis
https://arxiv.org/abs/2507.14397

Efficient LLM Inference: Bandwidth, Compute, Synchronization, and Capacity are all you need
This paper presents a limit study of transformer-based large language model (LLM) inference, focusing on the fundamental performance bottlenecks imposed by memory bandwidth, memory capacity, and synchronization overhead in distributed inference systems. We develop a hardware-agnostic performance model that abstracts away implementation details, enabling the analysis of a wide range of current and near-future hardware technologies. Our analysis spans from current HBM3 memory technology used in A…

Before Sunrise (1995)
Before Sunset (2004)
Before Midnight (2013)
I must say I was disappointed there wasn't a sequel to Céline and Jesse's story in 2022.
But maybe… everything that had to be said has been said. That's probably it.
"You have no idea where I came from
We have no idea where we’re going
Lodged in life
Like two branches in a river
Flowing downstream
Caught in the current
I’ll carry you, you’ll carry me

Reformulating Parallel-Connected Lithium-Ion Battery Pack Dynamics with Interconnection Resistances as Ordinary Differential Equations
Jaffar Ali Lone, Nilsu Atlan, Simone Fasolato, Davide M Raimondo, Ross Drummond
https://arxiv.org/abs/2508.14454

Reformulating Parallel-Connected Lithium-Ion Battery Pack Dynamics with Interconnection Resistances as Ordinary Differential Equations
This work presents analytical solutions for the current distribution in lithium-ion battery packs composed of cells connected in parallel, explicitly accounting for the presence of interconnection resistances. These solutions enable the reformulation of the differential-algebraic equations describing the pack dynamics into a set of ordinary differential equations, thereby simplifying simulation and analysis. Conditions under which uniform current sharing across all cells occurs are also derived…

The Modeling Landscape of Extragalactic CO in CMB Surveys
Yogesh Mehta, Anirban Roy, Simon Foreman, Alexander van Engelen, Nick Battaglia
https://arxiv.org/abs/2506.16028

The Modeling Landscape of Extragalactic CO in CMB Surveys
Extragalactic carbon monoxide (CO) line emission will likely be an important signal in current and future Cosmic Microwave Background (CMB) surveys on small scales. However, great uncertainty surrounds our current understanding of CO emission. We investigate the implications of this modeling uncertainty on CMB surveys. Using a range of star formation rate and luminosity relations, we generate a suite of CO simulations across cosmic time, together with the broadband cosmic infrared background (C…

The role of scalar current coupling along surfaces
F. A. Barone, L. H. C. Borges, G. Flores-Hidalgo, H. L. Oliveira, W. Y. A. da Silva
https://arxiv.org/abs/2507.15625

The role of scalar current coupling along surfaces
In this paper we propose a coupling between the complex scalar field and an external Dirac delta-like planar potential. The coupling is achieved through the Klein-Gordon current normal to the plane where the potential is concentrated. The results are obtained exactly and exhibit many peculiarities. We show that a complex scalar charge does not interact with the potential, but the potential modifies the interaction between two scalar charges if they are placed on opposite sides of the planar pot…

@… thanks for asking.
The file will exist after using the current version of pkgbasify for conversion to pkgbase.
A future version might write the FreeBSD-base repo configuration to a FreeBSD.conf file (not a FreeBSD-base.conf file).

Every once in a while I test ChatGPT & Co to see if they are still useless and how much they are hallucinating. But today #ChatGPT really pulled a galaxy brain move on me.
I asked it to summarize a current debate and give an overview on the different positions. And after that I asked for a two page memo of what it had just answered. It delivered a memo, but only a one-page one, so I told i…

Cross-Modality Controlled Molecule Generation with Diffusion Language Model
Yunzhe Zhang, Yifei Wang, Khanh Vinh Nguyen, Pengyu Hong
https://arxiv.org/abs/2508.14748 https://

Cross-Modality Controlled Molecule Generation with Diffusion Language Model
Current SMILES-based diffusion models for molecule generation typically support only unimodal constraint. They inject conditioning signals at the start of the training process and require retraining a new model from scratch whenever the constraint changes. However, real-world applications often involve multiple constraints across different modalities, and additional constraints may emerge over the course of a study. This raises a challenge: how to extend a pre-trained diffusion model not only t…

The current generation of transformers-based generative AI is a pyramid scheme where each new layer of the pyramid is funded by the same person as funded all the others

Time for another "review". This one's hard. While the book was quite interesting, it required me to be quite open-minded. Still, I think it's worth mentioning:
Robert Wright — Nonzero: The Logic of Human Destiny
The book basically focused on a thesis that both biological evolution and cultural evolution are a thing, they are directional and this directionality can be explained together using game theory — as eventually leading to more non-zero sum games.
It consists of three chapters. The first one is is focused on the history of civilization. It features many examples from different parts of the world, which makes it quite interesting. The author argues that the culture inevitably is evolving as information processing techniques improve — from writing to the Internet.
The second chapter is focused on biological evolution. Now, the argument is that it's not quite random, but actually directed towards greater complexity — eventually leading to the development of highly intelligent species, and a civilization.
The third chapter is quite speculative and metaphysical, and I'm just going to skip it.
The book is full of optimism. Capitalism creates freedom — because people are more productive when they're working for their own gain, so the free market eliminates slavery. Globalisation creates networks of interdependence that make wars uneconomic. Increased contacts between different cultures makes people more tolerant. And eventually, the humanity may be able to unite facing a common "external" enemy — the climate change.
What can I say? The examples are quite interesting, the whole theory seems self-consistent. Still, I repeatedly looked at the publication date (it's 1999), and wondered if author would write the same thing today (yes, I know I can search for his current opinions).
#books #bookstodon @…

Browns place Deshaun Watson on physically unable to perform list https://www.nytimes.com/athletic/6509601/2025/07/22/deshaun-watson-browns-pup-list/

Runaway electrons during a coil quench in stellarators
Pavel Aleynikov, Per Helander, H{\aa}kan M Smith
https://arxiv.org/abs/2509.15721 https://arxiv.org/…

Runaway electrons during a coil quench in stellarators
It is shown that avalanches of runaway electrons can arise in stellarators, even if there is no net toroidal current in the plasma or the magnetic-field coils, if the current in the latter varies rapidly enough, e.g. due to a superconductor quench. In present-day devices such as W7-X, significant runaway generation is theoretically possible only at very low gas or plasma density in the vacuum vessel, e.g. between discharges, if a seed population of free electrons is present. In reactor-scale st…

RETAIL: Towards Real-world Travel Planning for Large Language Models
Bin Deng, Yizhe Feng, Zeming Liu, Qing Wei, Xiangrong Zhu, Shuai Chen, Yuanfang Guo, Yunhong Wang
https://arxiv.org/abs/2508.15335

RETAIL: Towards Real-world Travel Planning for Large Language Models
Although large language models have enhanced automated travel planning abilities, current systems remain misaligned with real-world scenarios. First, they assume users provide explicit queries, while in reality requirements are often implicit. Second, existing solutions ignore diverse environmental factors and user preferences, limiting the feasibility of plans. Third, systems can only generate plans with basic POI arrangements, failing to provide all-in-one plans with rich details. To mitigate…

Really good write up of the history and current directions we are going in #ClimateModelling
https://www.quantamagazine.org/how-climate-scientists-saw-the-future-before-it-arrived-20250915/

Sources: OpenAI has been partially using Google search results scraped by a startup called SerpApi for ChatGPT responses on current events like news and sports (The Information)
https://www.theinformation.com/articles/openai-challenging-google-using-search…

OpenAI Is Challenging Google—While Using Its Search Data
As it tries to unseat Google, OpenAI is relying on search data from an unlikely source: Google. OpenAI has been using Google search results scraped from the web to help power ChatGPT responses, according to two people with knowledge of it.

A meta-modal logic for bisimulations
Alfredo Burrieza, Fernando Soler-Toscano, Antonio Yuste-Ginel
https://arxiv.org/abs/2507.15117 https://

A meta-modal logic for bisimulations
We propose a modal study of the notion of bisimulation. Our contribution is twofold. First, we extend the basic modal language with a new modality [b], whose intended meaning is universal quantification over all states that are bisimilar to the current one. We show that bisimulations are definable in this object language. Second, we provide a sound and complete axiomatisation of the class of all pairs of Kripke models linked by bisimulations.

CHADET: Cross-Hierarchical-Attention for Depth-Completion Using Unsupervised Lightweight Transformer
Kevin Christiansen Marsim, Jinwoo Jeon, Yeeun Kim, Myeongwoo Jeong, Hyun Myung
https://arxiv.org/abs/2507.15189

CHADET: Cross-Hierarchical-Attention for Depth-Completion Using Unsupervised Lightweight Transformer
Depth information which specifies the distance between objects and current position of the robot is essential for many robot tasks such as navigation. Recently, researchers have proposed depth completion frameworks to provide dense depth maps that offer comprehensive information about the surrounding environment. However, existing methods show significant trade-offs between computational efficiency and accuracy during inference. The substantial memory and computational requirements make them un…

Reduced Order Hysteretic Flux Model for Transport Current Homogenization in Composite Superconductors
Alexander Glock, Julien Dular, Arjan Verweij, Mariusz Wozniak
https://arxiv.org/abs/2507.15402

Reduced Order Hysteretic Flux Model for Transport Current Homogenization in Composite Superconductors
In this paper, we present the Reduced Order Hysteretic Flux (ROHF) model to describe the relationship between time-varying transport current and internal magnetic flux for composite superconductors. The ROHF model is parametrized using reference simulations of the conductor response, after which it enables the computation of macroscopic quantities such as voltage and power loss without requiring detailed electromagnetic field solutions. It is therefore suitable for the homogenization of transpo…

Understanding Haskell-style Overloading via Open Data and Open Functions
Andrew Marmaduke, Apoorv Ingle, J. Garrett Morris
https://arxiv.org/abs/2507.16086

Understanding Haskell-style Overloading via Open Data and Open Functions
We present a new, uniform semantics for Haskell-style overloading. We realize our approach in a new core language, System F$_\mathrm{D}$, whose metatheory we mechanize in the Lean4 interactive theorem prover. System F$_\mathrm{D}$ is distinguished by its open data types and open functions, each given by a collection of instances rather than by a single definition. We show that System F$_\mathrm{D}$ can encode advanced features of Haskell's of type class systems, more expressively than current s…

Bayesian Inference and Learning in Nonlinear Dynamical Systems: A Framework for Incorporating Explicit and Implicit Prior Knowledge
Bj\"orn Volkmann, Jan-Hendrik Ewering, Michael Meindl, Simon F. G. Ehlers, Thomas Seel
https://arxiv.org/abs/2508.15345

Bayesian Inference and Learning in Nonlinear Dynamical Systems: A Framework for Incorporating Explicit and Implicit Prior Knowledge
Accuracy and generalization capabilities are key objectives when learning dynamical system models. To obtain such models from limited data, current works exploit prior knowledge and assumptions about the system. However, the fusion of diverse prior knowledge, e. g. partially known system equations and smoothness assumptions about unknown model parts, with information contained in the data remains a challenging problem, especially in input-output settings with latent system state. In particular,…

Changed all flatpaks back to sourced versions. Librewolf, Brave, Vlc, Joplin, Libreoffice, Deluge. The last two with entirely different applications (Softmaker & Tixati).
This is what Niri does to you 😂 And I'm very much okay with it.
So anyone telling you Slackware hardly seems up to date these days:
With another Slacker0ni production I've now got Slackware Current, Niri 25.05.1, kernel 6.15.7 and all ye goodies, like nwg-panel. waybar, fuzzel, nwg-drawer, a…

If the federal government has its way, programs that provide housing subsidies to low-income people will soon be cut,
and current recipients will have to comply with work rules and time limits on residency.
Those who receive Section 8 subsidies are now facing draconian budget-slashing that will put millions in danger of losing their homes.
These plans have long been on the right’s anti-poor wish list.
In fact, when the Heritage Foundation’s Project 2025 agenda was rele…

Trump Administration Threatens Housing for Millions in “War on the Poor”
Proposed cuts to Section 8 put 3.3 million people at risk of eviction and homelessness.

Skyrmion Hall effect and shape deformation of current-driven bilayer skyrmions in synthetic antiferromagnets
Mu-Kun Lee, Javier A. V\'elez, Rub\'en M. Otxoa, Masahito Mochizuki
https://arxiv.org/abs/2507.15531

Skyrmion Hall effect and shape deformation of current-driven bilayer skyrmions in synthetic antiferromagnets
The commonly believed absence of skyrmion Hall effect for topologically trivial magnetic skyrmions is reconsidered for bilayer skyrmions in synthetic antiferromagnets driven by spin-transfer and spin-orbit torques. Using a general Lagrangian formalism, we show that Bloch-type bilayer skyrmions acquire a finite Hall angle when driven by spin-orbit torque, while Néel-type skyrmions do not, in agreement with micromagnetic simulations. Both types of skyrmions exhibit current-induced elliptical def…

Filing: Shanghai-based self-driving company Banma aims to spin off from Alibaba via a Hong Kong IPO, reducing Alibaba's stake from the current 44.72% to 30% (Aileen Chuang/South China Morning Post)
https://www.scmp.com/business/ban…

Alibaba to spin off Banma self-driving business via Hong Kong IPO
Alibaba’s stake in Banma will drop to 30 per cent from the current 44.72 per cent after the IPO, the tech behemoth says.

In the latest act of retributIion targeting public servants in the federal government’s intelligence community
— the Trump administration moved Tuesday to revoke the security clearances of 37 current and former national security officials
A memo posted online by Tulsi Gabbard, the director of national intelligence,
accuses the targeted officials of having engaged in the “politicization or weaponization of intelligence” to advance partisan goals,
as well as failure to …

Trump administration revokes security clearances of 37 current and former government officials
The Trump administration says it's revoking the security clearances of 37 current and former national security officials. It's the latest act of retribution targeting public servants in the federal government’s intelligence community. A memo posted Tuesday by Director of National Intelligence Tulsi Gabbard accuses the targeted officials of having engaged in the “politicization or weaponization of intelligence” to advance partisan goals. It also accuses them of failing to safeguard classif…

DIO: Refining Mutual Information and Causal Chain to Enhance Machine Abstract Reasoning Ability
Ruizhuo Song, Beiming Yuan
https://arxiv.org/abs/2508.15387 https://

DIO: Refining Mutual Information and Causal Chain to Enhance Machine Abstract Reasoning Ability
Despite the outstanding performance of current deep learning models across various domains, their fundamental bottleneck in abstract reasoning remains unresolved. To address this challenge, the academic community has introduced Raven's Progressive Matrices (RPM) problems as an authoritative benchmark for evaluating the abstract reasoning capabilities of deep learning algorithms, with a focus on core intelligence dimensions such as abstract reasoning, pattern recognition, and complex problem-sol…

Lions captain Alex Anzalone 'disappointed' by state of contract negotiations with Detroit

https://www.cbssports.com/nfl/news/lions-cap…

PepThink-R1: LLM for Interpretable Cyclic Peptide Optimization with CoT SFT and Reinforcement Learning
Ruheng Wang, Hang Zhang, Trieu Nguyen, Shasha Feng, Hao-Wei Pang, Xiang Yu, Li Xiao, Peter Zhiping Zhang
https://arxiv.org/abs/2508.14765

PepThink-R1: LLM for Interpretable Cyclic Peptide Optimization with CoT SFT and Reinforcement Learning
Designing therapeutic peptides with tailored properties is hindered by the vastness of sequence space, limited experimental data, and poor interpretability of current generative models. To address these challenges, we introduce PepThink-R1, a generative framework that integrates large language models (LLMs) with chain-of-thought (CoT) supervised fine-tuning and reinforcement learning (RL). Unlike prior approaches, PepThink-R1 explicitly reasons about monomer-level modifications during sequence …

From Bits to Boardrooms: A Cutting-Edge Multi-Agent LLM Framework for Business Excellence
Zihao Wang, Junming Zhang
https://arxiv.org/abs/2508.15447 https://

From Bits to Boardrooms: A Cutting-Edge Multi-Agent LLM Framework for Business Excellence
Large Language Models (LLMs) have shown promising potential in business applications, particularly in enterprise decision support and strategic planning, yet current approaches often struggle to reconcile intricate operational analyses with overarching strategic goals across diverse market environments, leading to fragmented workflows and reduced collaboration across organizational levels. This paper introduces BusiAgent, a novel multi-agent framework leveraging LLMs for advanced decision-makin…

The Psychology of Falsehood: A Human-Centric Survey of Misinformation Detection
Arghodeep Nandi, Megha Sundriyal, Euna Mehnaz Khan, Jikai Sun, Emily Vraga, Jaideep Srivastava, Tanmoy Chakraborty
https://arxiv.org/abs/2509.15896

The Psychology of Falsehood: A Human-Centric Survey of Misinformation Detection
Misinformation remains one of the most significant issues in the digital age. While automated fact-checking has emerged as a viable solution, most current systems are limited to evaluating factual accuracy. However, the detrimental effect of misinformation transcends simple falsehoods; it takes advantage of how individuals perceive, interpret, and emotionally react to information. This underscores the need to move beyond factuality and adopt more human-centered detection frameworks. In this sur…

Improving VQE Parameter Quality on Noisy Quantum Processors with Cost-Effective Readout Error Mitigation
Nacer Eddine Belaloui, Abdellah Tounsi, Abdelmouheymen Rabah Khamadja, Hamza Benkadour, Mohamed Messaoud Louamri, Achour Benslama, Mohamed Taha Rouabah
https://arxiv.org/abs/2508.15072

Improving VQE Parameter Quality on Noisy Quantum Processors with Cost-Effective Readout Error Mitigation
The inherent noise in current Noisy Intermediate-Scale Quantum (NISQ) devices presents a major obstacle to the accurate implementation of quantum algorithms such as the Variational Quantum Eigensolver (VQE) for quantum chemistry applications. This study examines the impact of error mitigation strategies on VQE performance. We show that, for small molecular systems, an older-generation 5-qubit quantum processing unit (IBMQ Belem), when combined with optimized Twirled Readout Error Extinction (T-…

Current sheet formation under radiative cooling
Simran Chowdhry, Nuno F. Loureiro
https://arxiv.org/abs/2508.13081 https://arxiv.org/pdf/2508.13081

Current sheet formation under radiative cooling
We present a simple, analytically solvable MHD model of current sheet formation through X-point collapse under optically thin radiative cooling. Our results show that cooling accelerates the collapse of the X-point along the inflows, but strong cooling can arrest or even reverse the current sheet elongation in the outflow direction. Hence, we detail a modification to the radiatively-cooled Sweet-Parker model developed by Uzdensky & McKinney (2011) to allow for varying current sheet length. The …

What You See Is What It Does: A Structural Pattern for Legible Software
Eagon Meng, Daniel Jackson
https://arxiv.org/abs/2508.14511 https://arxiv.org/pdf/2…

What You See Is What It Does: A Structural Pattern for Legible Software
The opportunities offered by LLM coders (and their current limitations) demand a reevaluation of how software is structured. Software today is often "illegible" - lacking a direct correspondence between code and observed behavior - and insufficiently modular, leading to a failure of three key requirements of robust coding: incrementality (the ability to deliver small increments by making localized changes), integrity (avoiding breaking prior increments) and transparency (making clear what has c…

Towards Scalable and Interpretable Mobile App Risk Analysis via Large Language Models
Yu Yang, Zhenyuan Li, Xiandong Ran, Jiahao Liu, Jiahui Wang, Bo Yu, Shouling Ji
https://arxiv.org/abs/2508.15606

Towards Scalable and Interpretable Mobile App Risk Analysis via Large Language Models
Mobile application marketplaces are responsible for vetting apps to identify and mitigate security risks. Current vetting processes are labor-intensive, relying on manual analysis by security professionals aided by semi-automated tools. To address this inefficiency, we propose Mars, a system that leverages Large Language Models (LLMs) for automated risk identification and profiling. Mars is designed to concurrently analyze multiple applications across diverse risk categories with minimal human …

Context-Aware Behavior Learning with Heuristic Motion Memory for Underwater Manipulation
Markus Buchholz, Ignacio Carlucho, Michele Grimaldi, Maria Koskinopoulou, Yvan R. Petillot
https://arxiv.org/abs/2507.14099

Context-Aware Behavior Learning with Heuristic Motion Memory for Underwater Manipulation
Autonomous motion planning is critical for efficient and safe underwater manipulation in dynamic marine environments. Current motion planning methods often fail to effectively utilize prior motion experiences and adapt to real-time uncertainties inherent in underwater settings. In this paper, we introduce an Adaptive Heuristic Motion Planner framework that integrates a Heuristic Motion Space (HMS) with Bayesian Networks to enhance motion planning for autonomous underwater manipulation. Our appr…

AnchoredAI: Contextual Anchoring of AI Comments Improves Writer Agency and Ownership
Martin Lou, Jackie Crowley, Samuel Dodson, Dongwook Yoon
https://arxiv.org/abs/2509.16128 ht…

AnchoredAI: Contextual Anchoring of AI Comments Improves Writer Agency and Ownership
Generative AI is increasingly integrated into writing support, yet current chat-based interfaces often obscure referential context and risk amplifying automation bias and overreliance. We introduce AnchoredAI, a novel system that anchors AI feedback directly to relevant text spans. AnchoredAI implements two key mechanisms: (1) an Anchoring Context Window (ACW) that maintains unique, context-rich references, and (2) an update-aware context retrieval method that preserves the intent of prior comm…

Fate of Iran’s Uranium Stockpile Unclear
After U.S. Strikes
Senior U.S. officials said the attack had severely damaged Iran’s nuclear facilities -- but conceded they did not know the whereabouts of its supply of near-bomb-grade uranium!
Trump suggested that a new government could take over in Tehran:
“If the current Iranian Regime is unable to MAKE IRAN GREAT AGAIN, why wouldn’t there be a Regime change???”
Trump wrote in a post on his social media site.

Iran Live Updates: Israel and Iran Report New Strikes as Trump Raises Prospect of Regime Change
Residents in central Tehran said they could see and hear heavy strikes, while Israel said it was defending itself from an attack. Earlier, President Trump suggested that a new government could take over in Tehran.

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception
Zhiheng Liu, Xueqing Deng, Shoufa Chen, Angtian Wang, Qiushan Guo, Mingfei Han, Zeyue Xue, Mengzhao Chen, Ping Luo, Linjie Yang
https://arxiv.org/abs/2508.15720

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception
Generative video modeling has made significant strides, yet ensuring structural and temporal consistency over long sequences remains a challenge. Current methods predominantly rely on RGB signals, leading to accumulated errors in object structure and motion over extended durations. To address these issues, we introduce WorldWeaver, a robust framework for long video generation that jointly models RGB frames and perceptual conditions within a unified long-horizon modeling scheme. Our training fra…

EmoHeal: An End-to-End System for Personalized Therapeutic Music Retrieval from Fine-grained Emotions
Xinchen Wan, Jinhua Liang, Huan Zhang
https://arxiv.org/abs/2509.15986 http…

EmoHeal: An End-to-End System for Personalized Therapeutic Music Retrieval from Fine-grained Emotions
Existing digital mental wellness tools often overlook the nuanced emotional states underlying everyday challenges. For example, pre-sleep anxiety affects more than 1.5 billion people worldwide, yet current approaches remain largely static and "one-size-fits-all", failing to adapt to individual needs. In this work, we present EmoHeal, an end-to-end system that delivers personalized, three-stage supportive narratives. EmoHeal detects 27 fine-grained emotions from user text with a fine-tuned XLM-R…

Multiple Memory Systems for Enhancing the Long-term Memory of Agent
Gaoke Zhang, Bo Wang, Yunlong Ma, Dongming Zhao, Zifei Yu
https://arxiv.org/abs/2508.15294 https://

Multiple Memory Systems for Enhancing the Long-term Memory of Agent
An agent powered by large language models have achieved impressive results, but effectively handling the vast amounts of historical data generated during interactions remains a challenge. The current approach is to design a memory module for the agent to process these data. However, existing methods, such as MemoryBank and A-MEM, have poor quality of stored memory content, which affects recall performance and response quality. In order to better construct high-quality long-term memory content, …

Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses
Fangyi Yu, Nabeel Seedat, Dasha Herrmannova, Frank Schilder, Jonathan Richard Schwarz
https://arxiv.org/abs/2509.16093

Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses
Evaluating long-form answers in high-stakes domains such as law or medicine remains a fundamental challenge. Standard metrics like BLEU and ROUGE fail to capture semantic correctness, and current LLM-based evaluators often reduce nuanced aspects of answer quality into a single undifferentiated score. We introduce DeCE, a decomposed LLM evaluation framework that separates precision (factual accuracy and relevance) and recall (coverage of required concepts), using instance-specific criteria autom…

Sensing decoherence by using edge state
Andrey R. Kolovsky
https://arxiv.org/abs/2508.12209 https://arxiv.org/pdf/2508.12209…

Sensing decoherence by using edge state
In the absence of decoherence the current of fermionic particles across a finite lattice connecting two reservoirs (leads) with different chemical potentials is known to be ballistic. It is also known that decoherence typically suppresses this ballistic current. However, if decoherence is weak, the change in the current may be undetectable. In this work we show that the effect of a weak decoherence can be amplified by orders of magnitude if the lattice has edge states.

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training
Pengfei Du
https://arxiv.org/abs/2507.14202 https://

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training
Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse applications, yet they pose significant security risks that threaten their safe deployment in critical domains. Current security alignment methodologies predominantly rely on Process Reward Models (PRMs) to evaluate intermediate reasoning steps, introducing substantial computational overhead and scalability constraints. This paper presents a novel PRM-free security alignment framework that leverages automated …

Architectural Degradation: Definition, Motivations, Measurement and Remediation Approaches
Noman Ahmad, Ruoyu Su, Matteo Esposito, Andrea Janes, Valentina Lenarduzzi, Davide Taibi
https://arxiv.org/abs/2507.14547

Architectural Degradation: Definition, Motivations, Measurement and Remediation Approaches
Architectural degradation, also known as erosion, decay, or aging, impacts system quality, maintainability, and adaptability. Although widely acknowledged, current literature shows fragmented definitions, metrics, and remediation strategies. Our study aims to unify understanding of architectural degradation by identifying its definitions, causes, metrics, tools, and remediation approaches across academic and gray literature. We conducted a multivocal literature review of 108 studies extracting …

Implicit Kinodynamic Motion Retargeting for Human-to-humanoid Imitation Learning
Xingyu Chen, Hanyu Wu, Sikai Wu, Mingliang Zhou, Diyun Xiang, Haodong Zhang
https://arxiv.org/abs/2509.15443

Implicit Kinodynamic Motion Retargeting for Human-to-humanoid Imitation Learning
Human-to-humanoid imitation learning aims to learn a humanoid whole-body controller from human motion. Motion retargeting is a crucial step in enabling robots to acquire reference trajectories when exploring locomotion skills. However, current methods focus on motion retargeting frame by frame, which lacks scalability. Could we directly convert large-scale human motion into robot-executable motion through a more efficient approach? To address this issue, we propose Implicit Kinodynamic Motion R…

RACap: Relation-Aware Prompting for Lightweight Retrieval-Augmented Image Captioning
Xiaosheng Long, Hanyu Wang, Zhentao Song, Kun Luo, Hongde Liu
https://arxiv.org/abs/2509.15883

RACap: Relation-Aware Prompting for Lightweight Retrieval-Augmented Image Captioning
Recent retrieval-augmented image captioning methods incorporate external knowledge to compensate for the limitations in comprehending complex scenes. However, current approaches face challenges in relation modeling: (1) the representation of semantic prompts is too coarse-grained to capture fine-grained relationships; (2) these methods lack explicit modeling of image objects and their semantic relationships. To address these limitations, we propose RACap, a relation-aware retrieval-augmented mo…

RDMA: Cost Effective Agent-Driven Rare Disease Discovery within Electronic Health Record Systems
John Wu, Adam Cross, Jimeng Sun
https://arxiv.org/abs/2507.15867

RDMA: Cost Effective Agent-Driven Rare Disease Discovery within Electronic Health Record Systems
Rare diseases affect 1 in 10 Americans, yet standard ICD coding systems fail to capture these conditions in electronic health records (EHR), leaving crucial information buried in clinical notes. Current approaches struggle with medical abbreviations, miss implicit disease mentions, raise privacy concerns with cloud processing, and lack clinical reasoning abilities. We present Rare Disease Mining Agents (RDMA), a framework that mirrors how medical experts identify rare disease patterns in EHR. R…

Multi-Physics: A Comprehensive Benchmark for Multimodal LLMs Reasoning on Chinese Multi-Subject Physics Problems
Zhongze Luo, Zhenshuai Yin, Yongxin Guo, Zhichao Wang, Jionghao Zhu, Xiaoying Tang
https://arxiv.org/abs/2509.15839

Multi-Physics: A Comprehensive Benchmark for Multimodal LLMs Reasoning on Chinese Multi-Subject Physics Problems
While multimodal LLMs (MLLMs) demonstrate remarkable reasoning progress, their application in specialized scientific domains like physics reveals significant gaps in current evaluation benchmarks. Specifically, existing benchmarks often lack fine-grained subject coverage, neglect the step-by-step reasoning process, and are predominantly English-centric, failing to systematically evaluate the role of visual information. Therefore, we introduce \textbf {Multi-Physics} for Chinese physics reasonin…

Sources: NSA Director William Hartman unsuccessfully tried to protect Vinh Nguyen, an expert in AI and cryptology, from being fired on President Trump's orders (Julian E. Barnes/New York Times)
https://w…

N.S.A.’s Acting Director Tried to Save Top Scientist From Purge
Vinh Nguyen, an expert in artificial intelligence and advanced mathematics, was among the current and former officials whose security clearances were revoked by the president.

ETrace:Event-Driven Vulnerability Detection in Smart Contracts via LLM-Based Trace Analysis
Chenyang Peng, Haijun Wang, Yin Wu, Hao Wu, Ming Fan, Yitao Zhao, Ting Liu
https://arxiv.org/abs/2506.15790

ETrace:Event-Driven Vulnerability Detection in Smart Contracts via LLM-Based Trace Analysis
With the advance application of blockchain technology in various fields, ensuring the security and stability of smart contracts has emerged as a critical challenge. Current security analysis methodologies in vulnerability detection can be categorized into static analysis and dynamic analysis methods.However, these existing traditional vulnerability detection methods predominantly rely on analyzing original contract code, not all smart contracts provide accessible code.We present ETrace, a novel…

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
Jiangfan Liu, Yongkang Guo, Fangzhi Zhong, Tianyuan Zhang, Zonglei Jing, Siyuan Liang, Jiakai Wang, Mingchuan Zhang, Aishan Liu, Xianglong Liu
https://arxiv.org/abs/2508.14527

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
The generation of safety-critical scenarios in simulation has become increasingly crucial for safety evaluation in autonomous vehicles prior to road deployment in society. However, current approaches largely rely on predefined threat patterns or rule-based strategies, which limit their ability to expose diverse and unforeseen failure modes. To overcome these, we propose ScenGE, a framework that can generate plentiful safety-critical scenarios by reasoning novel adversarial cases and then amplif…

AI-Powered Machine Learning Approaches for Fault Diagnosis in Industrial Pumps
Khaled M. A. Alghtus, Ayad Gannan, Khalid M. Alhajri, Ali L. A. Al Jubouri, Hassan A. I. Al-Janahi
https://arxiv.org/abs/2508.15550

AI-Powered Machine Learning Approaches for Fault Diagnosis in Industrial Pumps
This study presents a practical approach for early fault detection in industrial pump systems using real-world sensor data from a large-scale vertical centrifugal pump operating in a demanding marine environment. Five key operational parameters were monitored: vibration, temperature, flow rate, pressure, and electrical current. A dual-threshold labeling method was applied, combining fixed engineering limits with adaptive thresholds calculated as the 95th percentile of historical sensor values. …

Political Leaning and Politicalness Classification of Texts
Matous Volf (DELTA High school of computer science and economics, Pardubice, Czechia), Jakub Simko (Kempelen Institute of Intelligent Technologies, Bratislava, Slovakia)
https://arxiv.org/abs/2507.13913

Political Leaning and Politicalness Classification of Texts
This paper addresses the challenge of automatically classifying text according to political leaning and politicalness using transformer models. We compose a comprehensive overview of existing datasets and models for these tasks, finding that current approaches create siloed solutions that perform poorly on out-of-distribution texts. To address this limitation, we compile a diverse dataset by combining 12 datasets for political leaning classification and creating a new dataset for politicalness …

Quantum-Safe Identity Verification using Relativistic Zero-Knowledge Proof Systems
Yao Ma, Wen Yu Kon, Jefferson Chu, Kevin Han Yong Loh, Kaushik Chakraborty, Charles Lim
https://arxiv.org/abs/2507.14324

Quantum-Safe Identity Verification using Relativistic Zero-Knowledge Proof Systems
Identity verification is the process of confirming an individual's claimed identity, which is essential in sectors like finance, healthcare, and online services to ensure security and prevent fraud. However, current password/PIN-based identity solutions are susceptible to phishing or skimming attacks, where malicious intermediaries attempt to steal credentials using fake identification portals. Alikhani et al. [Nature, 2021] began exploring identity verification through graph coloring-based rel…

Task-Generalized Adaptive Cross-Domain Learning for Multimodal Image Fusion
Mengyu Wang, Zhenyu Liu, Kun Li, Yu Wang, Yuwei Wang, Yanyan Wei, Fei Wang
https://arxiv.org/abs/2508.15505

Task-Generalized Adaptive Cross-Domain Learning for Multimodal Image Fusion
Multimodal Image Fusion (MMIF) aims to integrate complementary information from different imaging modalities to overcome the limitations of individual sensors. It enhances image quality and facilitates downstream applications such as remote sensing, medical diagnostics, and robotics. Despite significant advancements, current MMIF methods still face challenges such as modality misalignment, high-frequency detail destruction, and task-specific limitations. To address these challenges, we propose …

Understanding Data Influence with Differential Approximation
Haoru Tan, Sitong Wu, Xiuzhe Wu, Wang Wang, Bo Zhao, Zeke Xie, Gui-Song Xia, Xiaojuan Qi
https://arxiv.org/abs/2508.14648

Understanding Data Influence with Differential Approximation
Data plays a pivotal role in the groundbreaking advancements in artificial intelligence. The quantitative analysis of data significantly contributes to model training, enhancing both the efficiency and quality of data utilization. However, existing data analysis tools often lag in accuracy. For instance, many of these tools even assume that the loss function of neural networks is convex. These limitations make it challenging to implement current methods effectively. In this paper, we introduce …

MMReview: A Multidisciplinary and Multimodal Benchmark for LLM-Based Peer Review Automation
Xian Gao, Jiacheng Ruan, Zongyun Zhang, Jingsheng Gao, Ting Liu, Yuzhuo Fu
https://arxiv.org/abs/2508.14146

MMReview: A Multidisciplinary and Multimodal Benchmark for LLM-Based Peer Review Automation
With the rapid growth of academic publications, peer review has become an essential yet time-consuming responsibility within the research community. Large Language Models (LLMs) have increasingly been adopted to assist in the generation of review comments; however, current LLM-based review tasks lack a unified evaluation benchmark to rigorously assess the models' ability to produce comprehensive, accurate, and human-aligned assessments, particularly in scenarios involving multimodal content suc…

Bidirectional Temporal Information Propagation for Moving Infrared Small Target Detection
Dengyan Luo, Yanping Xiang, Hu Wang, Luping Ji. Shuai Li, Mao Ye
https://arxiv.org/abs/2508.15415

Bidirectional Temporal Information Propagation for Moving Infrared Small Target Detection
Moving infrared small target detection is broadly adopted in infrared search and track systems, and has attracted considerable research focus in recent years. The existing learning-based multi-frame methods mainly aggregate the information of adjacent frames in a sliding window fashion to assist the detection of the current frame. However, the sliding-window-based methods do not consider joint optimization of the entire video clip and ignore the global temporal information outside the sliding w…

A Survey on Large Language Model Benchmarks
Shiwen Ni, Guhong Chen, Shuaimin Li, Xuanang Chen, Siyi Li, Bingli Wang, Qiyao Wang, Xingjian Wang, Yifan Zhang, Liyang Fan, Chengming Li, Ruifeng Xu, Le Sun, Min Yang
https://arxiv.org/abs/2508.15361

A Survey on Large Language Model Benchmarks
In recent years, with the rapid development of the depth and breadth of large language models' capabilities, various corresponding evaluation benchmarks have been emerging in increasing numbers. As a quantitative assessment tool for model performance, benchmarks are not only a core means to measure model capabilities but also a key element in guiding the direction of model development and promoting technological innovation. We systematically review the current status and development of large la…

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling
Subhasis Dasgupta, Preetam Saha, Agniva Roy, Jaydip Sen
https://arxiv.org/abs/2508.15336 https://

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling
The world is constantly moving towards AI based systems and autonomous vehicles are now reality in different parts of the world. These vehicles require sensors and cameras to detect objects and maneuver according to that. It becomes important to for such vehicles to also predict from a distant if a person is about to cross a road or not. The current study focused on predicting the intent of crossing the road by pedestrians in an experimental setup. The study involved working with deep learning …

The Levers of Political Persuasion with Conversational AI
Kobi Hackenburg, Ben M. Tappin, Luke Hewitt, Ed Saunders, Sid Black, Hause Lin, Catherine Fist, Helen Margetts, David G. Rand, Christopher Summerfield
https://arxiv.org/abs/2507.13919

The Levers of Political Persuasion with Conversational AI
There are widespread fears that conversational AI could soon exert unprecedented influence over human beliefs. Here, in three large-scale experiments (N=76,977), we deployed 19 LLMs-including some post-trained explicitly for persuasion-to evaluate their persuasiveness on 707 political issues. We then checked the factual accuracy of 466,769 resulting LLM claims. Contrary to popular concerns, we show that the persuasive power of current and near-future AI is likely to stem more from post-training…

LGMSNet: Thinning a medical image segmentation model via dual-level multiscale fusion
Chengqi Dong, Fenghe Tang, Rongge Mao, Xinpei Gao, S. Kevin Zhou
https://arxiv.org/abs/2508.15476

LGMSNet: Thinning a medical image segmentation model via dual-level multiscale fusion
Medical image segmentation plays a pivotal role in disease diagnosis and treatment planning, particularly in resource-constrained clinical settings where lightweight and generalizable models are urgently needed. However, existing lightweight models often compromise performance for efficiency and rarely adopt computationally expensive attention mechanisms, severely restricting their global contextual perception capabilities. Additionally, current architectures neglect the channel redundancy issu…

CUPE: Contextless Universal Phoneme Encoder for Language-Agnostic Speech Processing
Abdul Rehman, Jian-Jun Zhang, Xiaosong Yang
https://arxiv.org/abs/2508.15316 https://

CUPE: Contextless Universal Phoneme Encoder for Language-Agnostic Speech Processing
Universal phoneme recognition typically requires analyzing long speech segments and language-specific patterns. Many speech processing tasks require pure phoneme representations free from contextual influence, which motivated our development of CUPE - a lightweight model that captures key phoneme features in just 120 milliseconds, about one phoneme's length. CUPE processes short, fixed-width windows independently and, despite fewer parameters than current approaches, achieves competitive cross-…

A multi-temporal multi-spectral attention-augmented deep convolution neural network with contrastive learning for crop yield prediction
Shalini Dangi, Surya Karthikeya Mullapudi, Chandravardhan Singh Raghaw, Shahid Shafi Dar, Mohammad Zia Ur Rehman, Nagendra Kumar
https://arxiv.org/abs/2509.15966

A multi-temporal multi-spectral attention-augmented deep convolution neural network with contrastive learning for crop yield prediction
Precise yield prediction is essential for agricultural sustainability and food security. However, climate change complicates accurate yield prediction by affecting major factors such as weather conditions, soil fertility, and farm management systems. Advances in technology have played an essential role in overcoming these challenges by leveraging satellite monitoring and data analysis for precise yield estimation. Current methods rely on spatio-temporal data for predicting crop yield, but they …