Tootfinder

Drafted rookie WR is among 3 current Raiders players on CFL negotiation list https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/07/04/drafted-rookie-wr-among-3-current-raiders…

"The ChargeWise California pilot found that dynamic price signals, combined with automated charging management, achieve up to 98% EV charging load delivered off-peak, above the 60-70% typically achieved by ToU tariffs."
https://www.current-new…

Dynamic price signals beat time-of-use tariffs for energy load management in US trial
A pilot programme funded by the California Energy Commission shows EV charging on dynamic price signals outperforms time-of-use (ToU) rates.

Interesting: From Becky Ferreira for @… :
https://www.404media.co/new-deep-sea-creatures-challenge-current-m…

New Deep Sea Creatures ‘Challenge Current Models of Life,’ Scientists Say
Scientists have discovered chemosynthetic animals, which don’t rely on the Sun to live, nearly six miles under the ocean surface—deeper than any found to date.

from my link log —
Current technology is not ready for proper alpha blending.
https://blog.pkh.me/p/43-the-current-technology-is-not-ready-for-proper-blending.html
saved 2025-07-19

The current technology is not ready for proper blending

🎨 The current technology is not ready for proper (color) blending
#color

The current technology is not ready for proper blending

With so much hype and recent articles on "AI for coding" and how everyone not doing it is dumb maybe this is a good time to relink my article on "Vibe Coding".
Which I think focuses purely on "output" when developing or creating something is not just about the output.
https://tan…

Reducing Hadronic Uncertainty in Low-Energy Neutral-Current Processes
Oleksandr Tomalak
https://arxiv.org/abs/2506.03255 https://arxi…

Reducing Hadronic Uncertainty in Low-Energy Neutral-Current Processes
We analyze the dominant hadronic uncertainty in low-energy neutral-current (anti)neutrino scattering, estimated at the $3$-$4$ per mille level. This uncertainty arises from limited knowledge of the charge-isospin correlation function of quark currents. We study the charge-charge and charge-isospin correlators within $\mathrm{SU}(2)$ and $\mathrm{SU}(3)$ chiral perturbation theory (ChPT). In $\mathrm{SU}(2)$ ChPT, the two correlators are identical to all orders in the chiral and electromagnetic …

Phonon-Induced Current Noise in Single-Walled Carbon Nanotubes across the Ballistic-Diffusive Crossover
Aina Sumiyoshi, Takahiro Yamamoto
https://arxiv.org/abs/2506.02569

Phonon-Induced Current Noise in Single-Walled Carbon Nanotubes across the Ballistic-Diffusive Crossover
We theoretically elucidate the system length ($L$) dependence of phonon-induced current noise in carbon nanotubes at room temperature over a broad range, encompassing the quantum ballistic and classical diffusive regimes. The power spectral density for the current noise is maximally enhanced when $L$ is comparable to the mean free path $L_0$ of an electron. In the ballistic limit of $L/L_0\ll 1$, the power spectral density increases in proportion to $L$, whereas in the diffusive limit of $L/L_0…

Oh nice. Google changed my location for one of my (many) accounts... again
Current: Iran
New: Poland
Always on Tor confuses them.

Should we teach vibe coding? Here's why not.
Should AI coding be taught in undergrad CS education?
1/2
I teach undergraduate computer science labs, including for intro and more-advanced core courses. I don't publish (non-negligible) scholarly work in the area, but I've got years of craft expertise in course design, and I do follow the academic literature to some degree. In other words, In not the world's leading expert, but I have spent a lot of time thinking about course design, and consider myself competent at it, with plenty of direct experience in what knowledge & skills I can expect from students as they move through the curriculum.
I'm also strongly against most uses of what's called "AI" these days (specifically, generative deep neutral networks as supplied by our current cadre of techbro). There are a surprising number of completely orthogonal reasons to oppose the use of these systems, and a very limited number of reasonable exceptions (overcoming accessibility barriers is an example). On the grounds of environmental and digital-commons-pollution costs alone, using specifically the largest/newest models is unethical in most cases.
But as any good teacher should, I constantly question these evaluations, because I worry about the impact on my students should I eschew teaching relevant tech for bad reasons (and even for his reasons). I also want to make my reasoning clear to students, who should absolutely question me on this. That inspired me to ask a simple question: ignoring for one moment the ethical objections (which we shouldn't, of course; they're very stark), at what level in the CS major could I expect to teach a course about programming with AI assistance, and expect students to succeed at a more technically demanding final project than a course at the same level where students were banned from using AI? In other words, at what level would I expect students to actually benefit from AI coding "assistance?"
To be clear, I'm assuming that students aren't using AI in other aspects of coursework: the topic of using AI to "help you study" is a separate one (TL;DR it's gross value is not negative, but it's mostly not worth the harm to your metacognitive abilities, which AI-induced changes to the digital commons are making more important than ever).
So what's my answer to this question?
If I'm being incredibly optimistic, senior year. Slightly less optimistic, second year of a masters program. Realistic? Maybe never.
The interesting bit for you-the-reader is: why is this my answer? (Especially given that students would probably self-report significant gains at lower levels.) To start with, [this paper where experienced developers thought that AI assistance sped up their work on real tasks when in fact it slowed it down] (https://arxiv.org/abs/2507.09089) is informative. There are a lot of differences in task between experienced devs solving real bugs and students working on a class project, but it's important to understand that we shouldn't have a baseline expectation that AI coding "assistants" will speed things up in the best of circumstances, and we shouldn't trust self-reports of productivity (or the AI hype machine in general).
Now we might imagine that coding assistants will be better at helping with a student project than at helping with fixing bugs in open-source software, since it's a much easier task. For many programming assignments that have a fixed answer, we know that many AI assistants can just spit out a solution based on prompting them with the problem description (there's another elephant in the room here to do with learning outcomes regardless of project success, but we'll ignore this over too, my focus here is on project complexity reach, not learning outcomes). My question is about more open-ended projects, not assignments with an expected answer. Here's a second study (by one of my colleagues) about novices using AI assistance for programming tasks. It showcases how difficult it is to use AI tools well, and some of these stumbling blocks that novices in particular face.
But what about intermediate students? Might there be some level where the AI is helpful because the task is still relatively simple and the students are good enough to handle it? The problem with this is that as task complexity increases, so does the likelihood of the AI generating (or copying) code that uses more complex constructs which a student doesn't understand. Let's say I have second year students writing interactive websites with JavaScript. Without a lot of care that those students don't know how to deploy, the AI is likely to suggest code that depends on several different frameworks, from React to JQuery, without actually setting up or including those frameworks, and of course three students would be way out of their depth trying to do that. This is a general problem: each programming class carefully limits the specific code frameworks and constructs it expects students to know based on the material it covers. There is no feasible way to limit an AI assistant to a fixed set of constructs or frameworks, using current designs. There are alternate designs where this would be possible (like AI search through adaptation from a controlled library of snippets) but those would be entirely different tools.
So what happens on a sizeable class project where the AI has dropped in buggy code, especially if it uses code constructs the students don't understand? Best case, they understand that they don't understand and re-prompt, or ask for help from an instructor or TA quickly who helps them get rid of the stuff they don't understand and re-prompt or manually add stuff they do. Average case: they waste several hours and/or sweep the bugs partly under the rug, resulting in a project with significant defects. Students in their second and even third years of a CS major still have a lot to learn about debugging, and usually have significant gaps in their knowledge of even their most comfortable programming language. I do think regardless of AI we as teachers need to get better at teaching debugging skills, but the knowledge gaps are inevitable because there's just too much to know. In Python, for example, the LLM is going to spit out yields, async functions, try/finally, maybe even something like a while/else, or with recent training data, the walrus operator. I can't expect even a fraction of 3rd year students who have worked with Python since their first year to know about all these things, and based on how students approach projects where they have studied all the relevant constructs but have forgotten some, I'm not optimistic seeing these things will magically become learning opportunities. Student projects are better off working with a limited subset of full programming languages that the students have actually learned, and using AI coding assistants as currently designed makes this impossible. Beyond that, even when the "assistant" just introduces bugs using syntax the students understand, even through their 4th year many students struggle to understand the operation of moderately complex code they've written themselves, let alone written by someone else. Having access to an AI that will confidently offer incorrect explanations for bugs will make this worse.
To be sure a small minority of students will be able to overcome these problems, but that minority is the group that has a good grasp of the fundamentals and has broadened their knowledge through self-study, which earlier AI-reliant classes would make less likely to happen. In any case, I care about the average student, since we already have plenty of stuff about our institutions that makes life easier for a favored few while being worse for the average student (note that our construction of that favored few as the "good" students is a large part of this problem).
To summarize: because AI assistants introduce excess code complexity and difficult-to-debug bugs, they'll slow down rather than speed up project progress for the average student on moderately complex projects. On a fixed deadline, they'll result in worse projects, or necessitate less ambitious project scoping to ensure adequate completion, and I expect this remains broadly true through 4-6 years of study in most programs (don't take this as an endorsement of AI "assistants" for masters students; we've ignored a lot of other problems along the way).
There's a related problem: solving open-ended project assignments well ultimately depends on deeply understanding the problem, and AI "assistants" allow students to put a lot of code in their file without spending much time thinking about the problem or building an understanding of it. This is awful for learning outcomes, but also bad for project success. Getting students to see the value of thinking deeply about a problem is a thorny pedagogical puzzle at the best of times, and allowing the use of AI "assistants" makes the problem much much worse. This is another area I hope to see (or even drive) pedagogical improvement in, for what it's worth.
1/2

Measuring the entropy of a neuron cell from its membrane current signal
Mahmut Akilli
https://arxiv.org/abs/2508.00968 https://arxiv.org/pdf/2508.00968

Measuring the entropy of a neuron cell from its membrane current signal
The purpose of this study was to investigate how the entropy of a neuron cell can be measured using membrane ion current signals, which were recorded from neurons in the mouse medial prefrontal cortex (mPFC). The sample entropy and the Scalogram entropy were used as entropy measurement methods. It is well known that the entropy increases in the direction of the movement of the system towards the equilibrium. Therefore, in the process of the electrical activity of a living cell, the entropy is e…

Reducing critical current for spin-transfer-torque-induced magnetization reversal in CPP-GMR devices: effect of low damping and enhanced spin scattering asymmetry in $Co_2FeGa_{0.5}Ge_{0.5}$ Heusler alloy
Vineet Barwal, Hirofumi Suto, Yuya Sakuraba
https://arxiv.org/abs/2508.02101

Reducing critical current for spin-transfer-torque-induced magnetization reversal in CPP-GMR devices: effect of low damping and enhanced spin scattering asymmetry in $Co_2FeGa_{0.5}Ge_{0.5}$ Heusler alloy
Spin-transfer torque (STT) in magnetoresistance devices has enabled key applications such as STT-magnetoresistive random access memory, spin torque oscillators, and energy-assisted magnetic recording. In the device structures, where a free layer (FL) magnetization is manipulated by spin injection from a spin injection layer (SIL), the critical current density required for operation is directly proportional to the damping ($α$) constant of FL and inversely proportional to the STT efficiency, wh…

Current view of the Madre fire from the California Valley camera.
Numerous aerial resources continue to work the fire, with additional still en route, including a 2nd VLAT (very large air tanker) which is en route from Washington State
https://share.watchduty.org/i/53616/re

Watch Duty - Wildfire Maps & Alerts
Real-time information about wildfire and firefighting efforts nearby

The Revolution Has Arrived: What the Current State of Large Language Models in Education Implies for the Future
Russell Beale
https://arxiv.org/abs/2507.02180

The Revolution Has Arrived: What the Current State of Large Language Models in Education Implies for the Future
Large language Models have only been widely available since 2022 and yet in less than three years have had a significant impact on approaches to education and educational technology. Here we review the domains in which they have been used, and discuss a variety of use cases, their successes and failures. We then progress to discussing how this is changing the dynamic for learners and educators, consider the main design challenges facing LLMs if they are to become truly helpful and effective as …

If you’re interested in the best current practices for securing #SPA apps, then you should tune into our livestream today. Applies to #react #angular

Theoretical estimate and characteristics of electro-vortex flows in cylindrical electrodes
Swapnil Soni, Avishek Ranjan
https://arxiv.org/abs/2508.02297 https://

Theoretical estimate and characteristics of electro-vortex flows in cylindrical electrodes
Electro-vortex flows (EVF) arise in conducting fluids due to diverging current lines and the non-conservative Lorentz force. They are typically characterized by the $S$ parameter, defined as $S=μ_0 I^2/4π^2 ρν^2$, where it is known that $Re \sim \sqrt{S}$ for large currents. However, the strength of the EVF in a confined cylindrical domain with a co-axially placed current collector (CC) depends also on the ratio of the CC radius to the cylinder radius, $K=r_0/R$, in addition to the current …

The current holder of high office has shown himself to be unfit to lead a free and just society.
* He disrespects women, mocking survivors of violence and stripping away their rights.
* He fuels racism and white supremacy, scapegoating communities of color and denying their equality.
* He assaults free speech, attacking the press, punishing dissent, and spreading disinformation.

Listening to the current episode of the Unnamed RE podcast, I got to learn about #DeskThing, a project repurposing the otherwise defunct Spotify Car Thing.
While I really like to see hardware being saved from ending up as ewaste, I was surprised to learn that very specifically, #AMD

#PostDoc position in #GIScience at @…
Details:

NEWS - Universität Salzburg
News and current events Z_GIS is active on various social media channels. Keep an eye on them to get important and interesting news about research, teaching and events Visit our social media: News 04.07.2025 - PostDoc opening at Z_GIS The Department of Geoinformatics - Z_GIS is seeking to fill the position of research and

Magnetic Reconnection–driven Energization of Protons up to ∼400 keV at the Near-Sun Heliospheric Current Sheet: #reconnection in the nascent solar wind: https://www.swri.org/newsroom/press-releases/swri-led-research-finds-particles-energized-magnetic-reconnection-the-nascent-solar-wind

HAProxy’s “The State of SSL Stacks” is a depressing read.
After 2014 there was a brief period of hope for OpenSSL. Hope that was squashed by the disastrous 3.0 release & there’s little hope for improvement left.
The best current contender is AWS-LC of all things.
https://www.haproxy.com/blog/state-of-ssl…

The State of SSL Stacks
The SSL landscape has shifted dramatically. In this paper, we examine OpenSSL 3.x, BoringSSL, LibreSSL, WolfSSL, and AWS-LC with HAProxy.

Well this was a fun discovery.
Let's see how many of you get this right.
If you read MDIO address 0x0 of a gigabit Ethernet PHY and read the values in bits 13/6 and 8 (speed and duplex state), do you get:
1) The last value you wrote to the register, regardless of actual link conditions
2) The actual current speed/duplex state the PHY is operating in
3) Something else / undefined

I've switched my keyboard/mouse sharing to 'deskflow'. It seems to be the current descendent of Synergy; it's timeline page is insanely crazy:
https://github.com/deskflow/deskflow/wiki/History
Why Deskflow? Well, I upgraded one machine to

History
Share a single keyboard and mouse between multiple computers. - deskflow/deskflow

This week's #JukeboxFridayNight theme is #FindingFreedom, songs about finding freedom or claiming independence. On the Fourth of July, this one goes out to my birth country's current ruling class.
The Coup, "Piss on Your Grave" (1998)

"The good news is, those same software workers can still influence the state of the world in a positive light. In the pages of this magazine, now celebrating its fifth year of existence, we have tried to highlight the various ways they can do this:
By promoting a healthy dialogue between management and software engineers.
By showing empathy with one another and with mankind.
By unionizing and fighting against atrocious work conditions."

Weekend Reads
* A new RPKI design https://arxiv.org/abs/2507.01465
* Finding New IP KVMs https://www.runzero.com/blog/oob-p1-ip-kvm/

A new efficient RPKI Design
Resource Public Key Infrastructure (RPKI) is a critical security mechanism for BGP, but the complexity of its architecture is a growing concern as its adoption scales. Current RPKI design heavily reuses legacy PKI components, such as X.509 EE-certificates, ASN.1 encoding, and XML-based repository protocols, all these introduce excessive cryptographic validation, redundant metadata, and inefficiencies in both storage and processing. We show that these design choices, although based on establishe…

Current mission: get the finger picking pattern for "Dust in the Wind" into muscle memory... before attempting to change chords underneath it

Thermodynamic bound on current fluctuations in coherent conductors
Kay Brandner, Keiji Saito
https://arxiv.org/abs/2507.01214 https://

Thermodynamic bound on current fluctuations in coherent conductors
We derive a universal bound on the large-deviation functions of particle currents in coherent conductors. This bound depends only on the mean value of the relevant current and the total rate of entropy production required to maintain a non-equilibrium steady state, thus showing that both typical and rare current fluctuations are ultimately constrained by dissipation. Our analysis relies on the scattering approach to quantum transport and applies to any multi-terminal setup with arbitrary chemic…

systemd definitely does get many things right. My current favorite is how it sets the system resolver to loopback and provides an own DNS server.
Common Linux tradition was to tell processes to use getaddrinfo, where nsswitch then provides configurable backends. That means that every process goes through loading /etc/nsswitch.conf, but worse, it reduces DNS to a terrible subset. Query SVCB records? tough luck, you're on your own.

Oh my goodness! You can enable login and logout sounds in KDE Plasma! 🎶
The Oxygen sound theme has such a nice jingle, too. It reminds me of the good old days. I'm keeping that.
You can enable it in Settings − Apps & Windows − Notifications − Login − Play a sound (See screenshot)
You can set a custom sound file, but a file from your current sound theme should already be default if there is one.

The fediverse is often full of drama with admins falling out with each other and defederations, and threats and tears.
Now, with the public spat between the Twitter admin and the TruthSocial admin, the rest of the world gets to enjoy a similar spectacle!
They can't defederate of course, because Twitter never became open enough and TruthSocial was already defederated by everyone as soon as it existed.
Only on Fedi can you get the full experience of a public spat and defederation, because only on Fedi can the admins really at-mention and and directly reply and take the final dramatic action of a flouce-defederation.
Trump fans who are Twitter users can't port their followers over to TruthSocial, and Turther Musk fans can't just migrate their account to Twitter.
They're stuck.
So you see Fedi really is the best when it comes to massive public spats between admins and this current admin-drama is only getting more attention because it's between two of the worst people in the world.
#fediverse #interInstanceDrama #adminFight

A US Senator secured $9.4M for 35 Native American radio stations and one TV station but the loss of CPB's systemwide support will make operating costs go up (Kathryn Squyres/Current)
https://current.org/2025/07/why-a-senators-side-deal…

Why a senator’s side deal to protect tribal stations might not be enough
Native stations will receive funds to replace their CSGs, but the loss of other CPB subsidies will drive up their operating costs.

Had no idea it was happening.
Some of it is an hotel which is great to see but if the rest is built with very small condo sizes it will be a hard sell on the current market.
#condos #Toronto

@…
"Balanced synapse-to-synapse short-term plasticity ensures constant transmitter release"
https://www.cell.com/current-biology/fullt

Aaron Donald challenges Jared Verse to 'old man workout' as Rams stars exchange playful jabs

https://www.cbssports.com/nfl/news/aaron-d

It's my opinion that Labour's current stated position that "everyone who disagrees with us is a paedo" might be effective with some Reform voters, but probably risks alienating others in the longer term, and will not improve the quality of discourse in the short term.

MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query
Wei Chow, Yuan Gao, Linfeng Li, Xian Wang, Qi Xu, Hang Song, Lingdong Kong, Ran Zhou, Yi Zeng, Yidong Cai, Botian Jiang, Shilin Xu, Jiajun Zhang, Minghui Qiu, Xiangtai Li, Tianshu Yang, Siliang Tang, Juncheng Li
https://arxiv.org/abs/2506.03144

MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query
Semantic retrieval is crucial for modern applications yet remains underexplored in current research. Existing datasets are limited to single languages, single images, or singular retrieval conditions, often failing to fully exploit the expressive capacity of visual information as evidenced by maintained performance when images are replaced with captions. However, practical retrieval scenarios frequently involve interleaved multi-condition queries with multiple images. Hence, this paper introduc…

🛠️ Maintains #React-based #ink terminal UI while core engine gets performance boost
🔄 Current #TypeScript version continues receiving bugfixes during transition period
📦 Available now vi…

This https://arxiv.org/abs/2505.23585 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

On-Policy RL with Optimal Reward Baseline
Reinforcement learning algorithms are fundamental to align large language models with human preferences and to enhance their reasoning capabilities. However, current reinforcement learning algorithms often suffer from training instability due to loose on-policy constraints and computational inefficiency due to auxiliary models. In this work, we propose On-Policy RL with Optimal reward baseline (OPO), a novel and simplified reinforcement learning algorithm designed to address these challenges. O…

This https://arxiv.org/abs/2506.01297 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

MobCLIP: Learning General-purpose Geospatial Representation at Scale
Representation learning of geospatial locations remains a core challenge in achieving general geospatial intelligence. Current embedding methods often lack versatility, limiting their utility across diverse tasks in both human and natural domains. We present MobCLIP, the first nationwide general-purpose location encoder, integrating an unprecedented diversity of data modalities through effective and scalable multimodal fusion. Adopting a novel CLIP-based architecture, our framework aligns 100M+…

This https://arxiv.org/abs/2505.13182 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping
[Objective] This study focuses on addressing the current lack of a unified formal theoretical framework in machine learning, as well as the deficiencies in interpretability and ethical safety assurance. [Methods] A formal information model is first constructed, utilizing sets of well-formed formulas to explicitly define the ontological states and carrier mappings of typical components in machine learning. Learnable and processable predicates, along with learning and processing functions, are in…

Analysis: since his inauguration, President Trump posted 2,262 times on Truth Social in 132 days, 3x the volume of tweets in the same period of his first term (Washington Post)
https://www.washingtonpost.com/technology/2025/06/03/trump-truth-socia…

Tallying Trump’s online posting frenzy: 2,262 ‘truths’ in 132 days
In his current term, the president has left his own record for social media missives in the dust. He posts day and night.

Multimodal Mathematical Reasoning with Diverse Solving Perspective
Wenhao Shi, Zhiqiang Hu, Yi Bin, Yang Yang, See-Kiong Ng, Heng Tao Shen
https://arxiv.org/abs/2507.02804

Multimodal Mathematical Reasoning with Diverse Solving Perspective
Recent progress in large-scale reinforcement learning (RL) has notably enhanced the reasoning capabilities of large language models (LLMs), especially in mathematical domains. However, current multimodal LLMs (MLLMs) for mathematical reasoning often rely on one-to-one image-text pairs and single-solution supervision, overlooking the diversity of valid reasoning perspectives and internal reflections. In this work, we introduce MathV-DP, a novel dataset that captures multiple diverse solution tra…

Atomic Interface Engineering of Battery Current Collectors via Ion Implantation
Yue Li, Xuanguang Ren, Xueting Feng, Lingcheng Kong, Fengping Luo, Yang Xu, Liu Qian, Yusheng Ye, Ziqiang Zhao, Xin Gao, Jin Zhang
https://arxiv.org/abs/2508.00236

Atomic Interface Engineering of Battery Current Collectors via Ion Implantation
Atomic interface engineering (AIE) is critical for advancing technologies in energy storage, catalysis, and microelectronics. In anode-less lithium metal batteries (ALLMBs), AIE is essential for controlling interfacial chemistry governing lithium deposition and solid electrolyte interphase (SEI) formation on copper current collectors. However, native copper surfaces readily oxidize, forming electronically insulating oxides that degrade performance and obscure failure mechanisms. Here, we report…

Graded representations of current Lie superalgebras $\mathfrak{sl}(1|2)[t]$
Shushma Rani, Divya Setia
https://arxiv.org/abs/2506.01134 https://

Graded representations of current Lie superalgebras $\mathfrak{sl}(1|2)[t]$
This paper is the study of finite-dimensional graded representations of current lie superalgebras $\mathfrak{sl}(1|2)[t]$. We define the notion of super POPs, a combinatorial tool to provide another parametrization of the basis of the local Weyl module given in [2]. We derive the graded character formula of local Weyl module for $\mathfrak{sl}(1|2)[t]$. Furthermore, we construct a short exact sequence of Chari-Venkatesh modules for $\mathfrak{sl}(1|2)[t]$. As a consequence, we pr…

Context-aware gate set tomography: Improving the self-consistent characterization of trapped-ion universal gate sets by leveraging non-Markovianity
Pablo Vi\~nas, Alejandro Bermudez
https://arxiv.org/abs/2507.02542

Context-aware gate set tomography: Improving the self-consistent characterization of trapped-ion universal gate sets by leveraging non-Markovianity
To progress in the characterization of noise for current quantum computers, gate set tomography (GST) has emerged as a self-consistent tomographic protocol that can accurately estimate the complete set of noisy quantum gates, state preparations, and measurements. In its original incarnation, GST improves the estimation precision by applying the gates sequentially, provided that the noise makes them a set of fixed completely-positive and trace preserving (CPTP) maps independent of the history of…

Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation
Qiming Zhu, Jialun Cao, Xuanang Chen, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Shing-Chi Cheung
https://arxiv.org/abs/2506.03535

Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation
Current research on large language models (LLMs) with retrieval-augmented code generation (RACG) mainly focuses on single-language settings, leaving cross-lingual effectiveness and security unexplored. Multi-lingual RACG systems are valuable for migrating code-bases across programming languages (PLs), yet face risks from error (e.g. adversarial data corruption) propagation in cross-lingual transfer. We construct a dataset spanning 13 PLs with nearly 14k instances to explore utility and robustne…

ETH Zurich published a fact sheet with their current insights about the devastating collapse of the Birch glacier and the destruction of Blatten last week...
Article (German):
https://ethz.ch/de/news-und-veranstalt

Was ETH-Gletscherforschende über den Abbruch des Birchgletschers wissen
Am Mittwoch brach der Birchgletscher unter der Last von Fels- und Schuttmassen ein, die von Felsstürzen am Kleinen Nesthorn stammten. Nach einer Begehung vor Ort erläutern ETH-Forschende die Hintergründe des Abbruchs, der Blatten verschüttete, in einem aktualisierten Faktenblatt.

"our engineers are bottoming out on this work"
"current state of DP work"
are things I wouldn't say in a work environment, but you do you

Trump's proposed budget is a fiscal tightening relative to current policy.
And it doesn't even include the extra tightening from tariffs.
https://x.com/firstadopter/status/1930317264252793138/photo/1

tae kim (@firstadopter) on X
Great chart on the budget bill (Source: NYTimes)

Improving compiler support for SIMD offload using Arm Streaming SVE
Mohamed Husain Noor Mohamed, Adarsh Patil, Latchesar Ionkov, Eric Van Hensbergen
https://arxiv.org/abs/2506.02233

Improving compiler support for SIMD offload using Arm Streaming SVE
The wider adoption of tightly coupled core-adjacent accelerators, such as Arm Scalable Matrix Extension (SME), hinges on lowering software programming complexity. In this paper, we focus on enabling the use of SME architecture in Streaming Scalable Vector Extension (SSVE) mode for workloads written in C/C++. While current compilers optimize loops for all types of SIMD instructions, these techniques primarily target vector units within the core and falter when applied to disaggregated, core-adja…

And above all of this, even unrelated to the current march of technological whatever it is
Learn to be horrified by war.
Not at it being done badly, or asymmetrically, or with automation, or with "AI targeting" whatever that is, but all of it.

Functionality Assessment Framework for Autonomous Driving Systems using Subjective Networks
Stefan Orf, Sven Ochs, Valentin Marotta, Oliver Conder, Marc Ren\'e Zofka, J. Marius Z\"ollner
https://arxiv.org/abs/2506.02922

Functionality Assessment Framework for Autonomous Driving Systems using Subjective Networks
In complex autonomous driving (AD) software systems, the functioning of each system part is crucial for safe operation. By measuring the current functionality or operability of individual components an isolated glimpse into the system is given. Literature provides several of these detached assessments, often in the form of safety or performance measures. But dependencies, redundancies, error propagation and conflicting functionality statements do not allow for easy combination of these measures…

"The term anarcho-syndicalism first appeared as a derogatory commentary and an insult against certain working-class militants in the nineteenth century. It was often used to refer as a whole to the trade-union activities of individuals and groups who defined themselves as anarchists."
h…

AI and Remote Sensing for Resilient and Sustainable Built Environments: A Review of Current Methods, Open Data and Future Directions
Ubada El Joulani, Tatiana Kalganova, Stergios-Aristoteles Mitoulis, Sotirios Argyroudis
https://arxiv.org/abs/2507.01547

AI and Remote Sensing for Resilient and Sustainable Built Environments: A Review of Current Methods, Open Data and Future Directions
Critical infrastructure, such as transport networks, underpins economic growth by enabling mobility and trade. However, ageing assets, climate change impacts (e.g., extreme weather, rising sea levels), and hybrid threats ranging from natural disasters to cyber attacks and conflicts pose growing risks to their resilience and functionality. This review paper explores how emerging digital technologies, specifically Artificial Intelligence (AI), can enhance damage assessment and monitoring of trans…

Recognizing Cowboys who not only wore The Star, but The Stripes as well https://insidethestar.com/recognizing-cowboys-who-not-only-wore-the-star-but-the-stripes-as-well

FPEdit: Robust LLM Fingerprinting through Localized Knowledge Editing
Shida Wang, Chaohu Liu, Yubo Wang, Linli Xu
https://arxiv.org/abs/2508.02092 https://…

FPEdit: Robust LLM Fingerprinting through Localized Knowledge Editing
Large language models represent significant investments in computation, data, and engineering expertise, making them extraordinarily valuable intellectual assets. Nevertheless, these AI assets remain vulnerable to unauthorized redistribution and commercial exploitation through fine-tuning or black-box deployment. Current fingerprinting approaches face a fundamental trade-off: intrinsic methods require full parameter access, while backdoor-based techniques employ statistically anomalous triggers…

Rethinking Dynamic Networks and Heterogeneous Computing with Automatic Parallelization
Ruilong Wu, Xinjiao Li, Yisu Wang, Xinyu Chen, Dirk Kutscher
https://arxiv.org/abs/2506.02787

Rethinking Dynamic Networks and Heterogeneous Computing with Automatic Parallelization
Hybrid parallelism techniques are essential for efficiently training large language models (LLMs). Nevertheless, current automatic parallel planning frameworks often overlook the simultaneous consideration of node heterogeneity and dynamic network topology changes, limiting their effectiveness in practical applications. In this paper, we address these limitations by modeling heterogeneous nodes within dynamically changing network environments and leveraging simulation-based strategies to determ…

This https://arxiv.org/abs/2504.02628 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Towards Computation- and Communication-efficient Computational Pathology
Despite the impressive performance across a wide range of applications, current computational pathology models face significant diagnostic efficiency challenges due to their reliance on high-magnification whole-slide image analysis. This limitation severely compromises their clinical utility, especially in time-sensitive diagnostic scenarios and situations requiring efficient data transfer. To address these issues, we present a novel computation- and communication-efficient framework called Mag…

Examining the Anomalous Nature of Chiral Effects in Thermodynamics
R\'emy Larue, J\'er\'emie Quevillon, Diego Saviot
https://arxiv.org/abs/2507.02079

Examining the Anomalous Nature of Chiral Effects in Thermodynamics
Quantum anomalies give rise to novel transport phenomena, including the generation of a current in a relativistic fluid due to the presence of magnetic field or vorticity. We present an exclusive and direct computation of the chiral anomaly within the path integral for a massless fermion on a generic electromagnetic and curved background, including local temperature and chemical potential. We identify new thermodynamical contributions to the anomaly which induce the Chiral Separation and Vortic…

This is what a real President sounds like. Unlike the current occupant of the White House, President Barack Obama showed care and respect for all Americans—not just one political party. Happy 4th of July! : r/usa
https://www.reddit.com/r/usa/comments/1lru8pa/this_is_what_a_real_president_sounds_like_unlike/

“Before Trump, the review process was based on merit and impact.
Now, it’s like rolling the dice, because a Doge person has the final say,”
said one current program officer.
“There has never in the history of NSF been anything like this.
It’s disgusting what we’re being instructed to do.”
https://

Anomalous current fluctuations and mobility-driven clustering
Tanmoy Chakraborty, Punyabrata Pradhan
https://arxiv.org/abs/2506.00949 https://

Anomalous current fluctuations and mobility-driven clustering
We study steady-state current fluctuations in hardcore lattice gases on a ring of $L$ sites, where $N$ particles perform symmetric, {\it extended-ranged} hopping. The hop length is a random variable depending on a length scale $l_0$ (hopping range) and the inter-particle gap. The systems have mass-conserving dynamics with global density $ρ= N/L$ fixed, but violate detailed balance. We consider two analytically tractable cases: (i) $l_0 = 2$ (finite-ranged) and (ii) $l_0 \to \infty$ (infinite-r…

Partial Weakly-Supervised Oriented Object Detection
Mingxin Liu, Peiyuan Zhang, Yuan Liu, Wei Zhang, Yue Zhou, Ning Liao, Ziyang Gong, Junwei Luo, Zhirui Wang, Yi Yu, Xue Yang
https://arxiv.org/abs/2507.02751

Partial Weakly-Supervised Oriented Object Detection
The growing demand for oriented object detection (OOD) across various domains has driven significant research in this area. However, the high cost of dataset annotation remains a major concern. Current mainstream OOD algorithms can be mainly categorized into three types: (1) fully supervised methods using complete oriented bounding box (OBB) annotations, (2) semi-supervised methods using partial OBB annotations, and (3) weakly supervised methods using weak annotations such as horizontal boxes o…

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs
Mohammad Ali Alomrani, Yingxue Zhang, Derek Li, Qianyi Sun, Soumyasundar Pal, Zhanguang Zhang, Yaochen Hu, Rohan Deepak Ajwani, Antonios Valkanas, Raika Karimi, Peng Cheng, Yunzhou Wang, Pengyi Liao, Hanrui Huang, Bin Wang, Jianye Hao, Mark Coates
https://

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs
Large language models (LLMs) have rapidly progressed into general-purpose agents capable of solving a broad spectrum of tasks. However, current models remain inefficient at reasoning: they apply fixed inference-time compute regardless of task complexity, often overthinking simple problems while underthinking hard ones. This survey presents a comprehensive review of efficient test-time compute (TTC) strategies, which aim to improve the computational efficiency of LLM reasoning. We introduce a tw…

This https://arxiv.org/abs/2505.16933 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
In this work, we introduce LLaDA-V, a purely diffusion-based Multimodal Large Language Model (MLLM) that integrates visual instruction tuning with masked diffusion models, representing a departure from the autoregressive paradigms dominant in current multimodal approaches. Built upon LLaDA, a representative large language diffusion model, LLaDA-V incorporates a vision encoder and MLP connector that projects visual features into the language embedding space, enabling effective multimodal alignme…

Breaking Symmetries with Involutions
Michael Codish, Mikol\'a\v{s} Janota
https://arxiv.org/abs/2506.02903 https://arxiv.org/pdf/…

Breaking Symmetries with Involutions
Symmetry breaking for graphs and other combinatorial objects is notoriously hard. On the one hand, complete symmetry breaks are exponential in size. On the other hand, current, state-of-the-art, partial symmetry breaks are often considered too weak to be of practical use. Recently, the concept of graph patterns has been introduced and provides a concise representation for (large) sets of non-canonical graphs, i.e.\ graphs that are not lex-leaders and can be excluded from search. In particular…

GLiDRE: Generalist Lightweight model for Document-level Relation Extraction
Robin Armingaud, Romaric Besan\c{c}on
https://arxiv.org/abs/2508.00757 https://…

GLiDRE: Generalist Lightweight model for Document-level Relation Extraction
Relation Extraction (RE) is a fundamental task in Natural Language Processing, and its document-level variant poses significant challenges, due to the need to model complex interactions between entities across sentences. Current approaches, largely based on the ATLOP architecture, are commonly evaluated on benchmarks like DocRED and Re-DocRED. However, their performance in zero-shot or few-shot settings remains largely underexplored due to the task's complexity. Recently, the GLiNER model has s…

Meta-Fair: AI-Assisted Fairness Testing of Large Language Models
Miguel Romero-Arjona, Jos\'e A. Parejo, Juan C. Alonso, Ana B. S\'anchez, Aitor Arrieta, Sergio Segura
https://arxiv.org/abs/2507.02533

Meta-Fair: AI-Assisted Fairness Testing of Large Language Models
Fairness--the absence of unjustified bias--is a core principle in the development of Artificial Intelligence (AI) systems, yet it remains difficult to assess and enforce. Current approaches to fairness testing in large language models (LLMs) often rely on manual evaluation, fixed templates, deterministic heuristics, and curated datasets, making them resource-intensive and difficult to scale. This work aims to lay the groundwork for a novel, automated method for testing fairness in LLMs, reducin…

Haptic Biofeedback for Wakeful Rest: Does Stimulation Location Make a Difference?
Jueun Lee, Martin Flipe, Philipp Lepold, Tobias R\"oddiger, Michael Beigl
https://arxiv.org/abs/2507.02453

Haptic Biofeedback for Wakeful Rest: Does Stimulation Location Make a Difference?
Wearable haptic interventions offer promising support for relaxation through slow, vibrotactile biofeedback. Despite their potential, current applications focus on stress-inducing procedures and fixed vibration patterns, with limited consideration of body location and dynamic biofeedback during restful states. This study investigates the effects of haptic biofeedback adjusted from real-time heart rate during eyes-closed wakeful rest, comparing four wearable body placements: the wrist, hand, for…

This https://arxiv.org/abs/2412.03293 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning
In this paper, we present DiffusionVLA, a novel framework that seamlessly combines the autoregression model with the diffusion model for learning visuomotor policy. Central to our approach is a next-token prediction objective, enabling the model to reason effectively over the user's query in the context of current observations. Subsequently, a diffusion model is attached to generate robust action outputs. To enhance policy learning through self-reasoning, we introduce a novel reasoning injectio…

NFL Expert Has No Faith in Raiders’ Geno Smith https://heavy.com/sports/nfl/las-vegas-raiders/nfl-expert-has-no-faith-in-raiders-geno-smith/?adt_ei=[email]

Preliminary Investigation into Uncertainty-Aware Attack Stage Classification
Alessandro Gaudenzi, Lorenzo Nodari, Lance Kaplan, Alessandra Russo, Murat Sensoy, Federico Cerutti
https://arxiv.org/abs/2508.00368

Preliminary Investigation into Uncertainty-Aware Attack Stage Classification
Advanced Persistent Threats (APTs) represent a significant challenge in cybersecurity due to their prolonged, multi-stage nature and the sophistication of their operators. Traditional detection systems typically focus on identifying malicious activity in binary terms (benign or malicious) without accounting for the progression of an attack. However, effective response strategies depend on accurate inference of the attack's current stage, as countermeasures must be tailored to whether an adversa…

Magnetic octupole Hall effect in heavy transition metals
Insu Baek, Seungyun Han, Hyun-Woo Lee
https://arxiv.org/abs/2507.02516 https://

Magnetic octupole Hall effect in heavy transition metals
d-wave altermagnets have the magnetic octupole as their primary order parameter. A recent study [Han et al. arXiv 2409.14423 (2024)] demonstrated that magnetic octupole current can induce Néel vector dynamics. Therefore, identifying materials that can efficiently generate a magnetic octupole current is essential. In this paper, we investigate the magnetic octupole Hall effect in 4d and 5d transition metals. By employing atomic magnetic octupole operators, we calculate the magnetic octupole Hal…

Recourse, Repair, Reparation, & Prevention: A Stakeholder Analysis of AI Supply Chains
Aspen K. Hopkins, Isabella Struckman, Kevin Klyman, Susan S. Silbey
https://arxiv.org/abs/2507.02648

Recourse, Repair, Reparation, & Prevention: A Stakeholder Analysis of AI Supply Chains
The AI industry is exploding in popularity, with increasing attention to potential harms and unwanted consequences. In the current digital ecosystem, AI deployments are often the product of AI supply chains (AISC): networks of outsourced models, data, and tooling through which multiple entities contribute to AI development and distribution. AI supply chains lack the modularity, redundancies, or conventional supply chain practices that enable identification, isolation, and easy correction of fai…

Here we are, in another moment rife with apocalyptic intensity, in a city trying to hold the line against the president it birthed through a shattering of democratic traditions and constitutional breaches.
Still, I can’t help but wonder what will put an end to this nostalgic moment.
We got a glimpse of what that might look like during New York’s Democratic mayoral primary on June 24, when the 33-year-old democratic socialist Zohran Mamdani crushed the former governor Andrew Cuomo. …

Opinion | Why Are We Doomed to Keep Reliving the ’90s?
The characters that dominated the end of the last millennium have an outsize influence on the current one.

This https://arxiv.org/abs/2505.17433 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models
Memes have emerged as a popular form of multimodal online communication, where their interpretation heavily depends on the specific context in which they appear. Current approaches predominantly focus on isolated meme analysis, either for harmful content detection or standalone interpretation, overlooking a fundamental challenge: the same meme can express different intents depending on its conversational context. This oversight creates an evaluation gap: although humans intuitively recognize ho…

Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
Junhao Zheng, Jiahao Sun, Chenhao Lin, Zhengyu Zhao, Chen Ma, Chong Zhang, Cong Wang, Qian Wang, Chao Shen
https://arxiv.org/abs/2508.00649

Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
Developing reliable defenses against patch attacks on object detectors has attracted increasing interest. However, we identify that existing defense evaluations lack a unified and comprehensive framework, resulting in inconsistent and incomplete assessments of current methods. To address this issue, we revisit 11 representative defenses and present the first patch defense benchmark, involving 2 attack goals, 13 patch attacks, 11 object detectors, and 4 diverse metrics. This leads to the large-s…

A Context-Aware Dual-Metric Framework for Confidence Estimation in Large Language Models
Mingruo Yuan, Shuyi Zhang, Ben Kao
https://arxiv.org/abs/2508.00600 https://

A Context-Aware Dual-Metric Framework for Confidence Estimation in Large Language Models
Accurate confidence estimation is essential for trustworthy large language models (LLMs) systems, as it empowers the user to determine when to trust outputs and enables reliable deployment in safety-critical applications. Current confidence estimation methods for LLMs neglect the relevance between responses and contextual information, a crucial factor in output quality evaluation, particularly in scenarios where background knowledge is provided. To bridge this gap, we propose CRUX (Context-awar…

The uncertainty over federal Medicaid funding appears to have claimed its first victim in Nebraska.
Community Hospital in McCook announced Wednesday that it will close Curtis Medical Center in Curtis,
winding down its services over the next several months.
"Unfortunately, the current financial environment,
👉driven by anticipated federal budget cuts to Medicaid,
has made it impossible for us to continue operating all of our services,
many of which have…

Southwest Nebraska hospital announces plans to close, blames uncertainty over funding
Community Hospital in McCook announced Wednesday that it will close Curtis Medical Center in Curtis, winding down its services over the next several months.

VISCA: Inferring Component Abstractions for Automated End-to-End Testing
Parsa Alian, Martin Tang, Ali Mesbah
https://arxiv.org/abs/2506.04161 https://

VISCA: Inferring Component Abstractions for Automated End-to-End Testing
Providing optimal contextual input presents a significant challenge for automated end-to-end (E2E) test generation using large language models (LLMs), a limitation that current approaches inadequately address. This paper introduces Visual-Semantic Component Abstractor (VISCA), a novel method that transforms webpages into a hierarchical, semantically rich component abstraction. VISCA starts by partitioning webpages into candidate segments utilizing a novel heuristic-based segmentation method. Th…

How Many Times Do People Usually Experience Different Kinds of Stressors Each Day?
Sameer Neupane (University of Memphis), Mithun Saha (University of Memphis), David M. Almeida (The Pennsylvania State University), Santosh Kumar (University of Memphis)
https://arxiv.org/abs/2508.01553

How Many Times Do People Usually Experience Different Kinds of Stressors Each Day?
Understanding how frequently people experience different kinds of daily stressors is crucial for interpreting stress exposure and informing mental health care. But it can't be directly estimated from current assessment methods, such as diaries, end-of-day interviews, and ecological momentary assessments (EMA), that use sparse sampling to limit participant burden, and a structured response format for uniformity. In this paper, we utilize stressor data collected in a 100-day field study with 68 p…

Geometric Visual Servo Via Optimal Transport
Ethan Canzini, Simon Pope, Ashutosh Tiwari
https://arxiv.org/abs/2506.02768 https://arxi…

Geometric Visual Servo Via Optimal Transport
When developing control laws for robotic systems, the principle factor when examining their performance is choosing inputs that allow smooth tracking to a reference input. In the context of robotic manipulation, this involves translating an object or end-effector from an initial pose to a target pose. Robotic manipulation control laws frequently use vision systems as an error generator to track features and produce control inputs. However, current control algorithms don't take into account the …

Early Signs of Steganographic Capabilities in Frontier LLMs
Artur Zolkowski, Kei Nishimura-Gasparian, Robert McCarthy, Roland S. Zimmermann, David Lindner
https://arxiv.org/abs/2507.02737

Early Signs of Steganographic Capabilities in Frontier LLMs
Monitoring Large Language Model (LLM) outputs is crucial for mitigating risks from misuse and misalignment. However, LLMs could evade monitoring through steganography: Encoding hidden information within seemingly benign generations. In this paper, we evaluate the steganography capabilities in frontier LLMs to better understand the risk they pose. We focus on two types of steganography: passing encoded messages and performing encoded reasoning. We find that current models are unable to encode sh…

Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability
Lorraine Saju, Arnim Bleier, Jana Lasser, Claudia Wagner
https://arxiv.org/abs/2506.03655

Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability
The proliferation of misinformation necessitates scalable, automated fact-checking solutions. Yet, current benchmarks often overlook multilingual and topical diversity. This paper introduces a novel, dynamically extensible data set that includes 61,514 claims in multiple languages and topics, extending existing datasets up to 2024. Through a comprehensive evaluation of five prominent Large Language Models (LLMs), including GPT-4o, GPT-3.5 Turbo, LLaMA 3.1, and Mixtral 8x7B, we identify signific…

Iterated belief revision: from postulates to abilities
Paolo Liberatore
https://arxiv.org/abs/2507.02319 https://arxiv.org/pdf/2507.0…

Iterated belief revision: from postulates to abilities
The belief revision field is opulent in new proposals and indigent in analyses of existing approaches. Much work hinge on postulates, employed as syntactic characterizations: some revision mechanism is equivalent to some properties. Postulates constraint specific revision instances: certain revisions update certain beliefs in a certain way. As an example, if the revision is consistent with the current beliefs, it is incorporated with no other change. A postulate like this tells what revisions m…

DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models
Shantanu Thorat, Andrew Caines
https://arxiv.org/abs/2508.00619 https://arxi…

DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models
Existing AIG (AI-generated) text detectors struggle in real-world settings despite succeeding in internal testing, suggesting that they may not be robust enough. We rigorously examine the machine-learning procedure to build these detectors to address this. Most current AIG text detection datasets focus on zero-shot generations, but little work has been done on few-shot or one-shot generations, where LLMs are given human texts as an example. In response, we introduce the Diverse Adversarial Corp…

This https://arxiv.org/abs/2505.15173 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

AvatarShield: Visual Reinforcement Learning for Human-Centric Video Forgery Detection
The rapid advancement of Artificial Intelligence Generated Content (AIGC) technologies, particularly in video generation, has led to unprecedented creative capabilities but also increased threats to information integrity, identity security, and public trust. Existing detection methods, while effective in general scenarios, lack robust solutions for human-centric videos, which pose greater risks due to their realism and potential for legal and ethical misuse. Moreover, current detection approach…

This https://arxiv.org/abs/2503.04149 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination
The rapid evolution of code largelanguage models underscores the need for effective and transparent benchmarking of their reasoning capabilities. However, the current benchmarking approach heavily depends on publicly available, human-created datasets. The widespread use of these fixed benchmark datasets makes the benchmarking process to be static and thus particularly susceptible to data contamination, an unavoidable consequence of the extensive data collection processes used to train Code LLMs…

OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis
Junting Chen, Haotian Liang, Lingxiao Du, Weiyun Wang, Mengkang Hu, Yao Mu, Wenhai Wang, Jifeng Dai, Ping Luo, Wenqi Shao, Lin Shao
https://arxiv.org/abs/2506.04217

OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis
The rapid progress of navigation, manipulation, and vision models has made mobile manipulators capable in many specialized tasks. However, the open-world mobile manipulation (OWMM) task remains a challenge due to the need for generalization to open-ended instructions and environments, as well as the systematic complexity to integrate high-level decision making with low-level robot control based on both global scene understanding and current agent state. To address this complexity, we propose a …

Will Agents Replace Us? Perceptions of Autonomous Multi-Agent AI
Nikola Balic
https://arxiv.org/abs/2506.02055 https://arxiv.org/pdf/…

Will Agents Replace Us? Perceptions of Autonomous Multi-Agent AI
Autonomous multi-agent AI systems are poised to transform various industries, particularly software development and knowledge work. Understanding current perceptions among professionals is crucial for anticipating adoption challenges, ethical considerations, and future workforce development. This study analyzes responses from 130 participants to a survey on the capabilities, impact, and governance of AI agents. We explore expected timelines for AI replacing programmers, identify perceived barri…

Spatial tangible user interfaces for cognitive assessment and training
Ehud Sharlin, Yuichi Itoh, Benjamin Watson, Yoshifumi Kitamura, Steve Sutphen, Lili Liu, Fumio Kishino
https://arxiv.org/abs/2507.01944

Spatial tangible user interfaces for cognitive assessment and training
This paper discusses Tangible User Interfaces (TUIs) and their potential impact on cognitive assessment and cognitive training. We believe that TUIs, and particularly a subset that we dub spatial TUIs, can extend human computer interaction beyond some of its current limitations. Spatial TUIs exploit human innate spatial and tactile ability in an intuitive and direct manner, affording interaction paradigms that are practically impossible using current interface technology. As proof-of-concept we…

Measurement of the Granularity of Vowel Production Space By Just Producible Different (JPD) Limens
Peter Viechnicki
https://arxiv.org/abs/2507.02744 https:…

Measurement of the Granularity of Vowel Production Space By Just Producible Different (JPD) Limens
A body of work over the past several decades has demonstrated that the complex and coordinated articulatory movements of human vowel production are governed (at least in part)by control mechanisms whose targets are regions of auditory space. Within the target region control at the sub-phonemic level has also been demonstrated. But the degree of accuracy of that control is unknown. The current work investigates this question by asking how far apart must two vowel stimuli lie in auditory space in…

Fire smoke from Canada
2025-06-01
#ClimateEmergency #Canada #USA
https://…

This https://arxiv.org/abs/2505.12185 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

EVALOOP: Assessing LLM Robustness in Programming from a Self-consistency Perspective
Assessing the programming capabilities of Large Language Models (LLMs) is crucial for their effective use in software engineering. Current evaluations, however, predominantly measure the accuracy of generated code on static benchmarks, neglecting the critical aspect of model robustness during programming tasks. While adversarial attacks offer insights on model robustness, their effectiveness is limited and evaluation could be constrained. Current adversarial attack methods for robustness evalua…

This https://arxiv.org/abs/2506.02943 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

A Multi-agent LLM-based JUit Test Generation with Strong Oracles
Unit testing plays a critical role in ensuring software correctness. However, writing unit tests manually is laborious, especially for strong typed languages like Java, motivating the need for automated approaches. Traditional methods primarily rely on search-based or randomized algorithms to generate tests that achieve high code coverage and produce regression oracles, which are derived from the program's current behavior rather than its intended functionality. Recent advances in large languag…

A Multi-agent LLM-based JUit Test Generation with Strong Oracles
Qinghua Xu, Guancheng Wang, Lionel Briand, Kui Liu
https://arxiv.org/abs/2506.02943 https:…

A Multi-agent LLM-based JUit Test Generation with Strong Oracles
Unit testing plays a critical role in ensuring software correctness. However, writing unit tests manually is laborious, especially for strong typed languages like Java, motivating the need for automated approaches. Traditional methods primarily rely on search-based or randomized algorithms to generate tests that achieve high code coverage and produce regression oracles, which are derived from the program's current behavior rather than its intended functionality. Recent advances in large languag…

This https://arxiv.org/abs/2502.11475 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points
Code generation models have shown significant potential for automating programming tasks. However, the challenge of generating accurate and reliable code persists due to the highly complex and long-reasoning nature of the task. Even state-of-the-art models often fail in code generation due to small errors, which can drastically affect the overall functionality of code. Our study identifies that current models tend to produce errors concentrated at specific error-prone points, which significantl…