Tootfinder

Center Stage: So funktionieren Apples neue Selfie-Kameras beim iPhone 17
Apple hat ein neues Selfie-Feature implementiert, das bislang unbekannt war: Der Center-Stage-Sensor ist so eingerichtet, dass man frei knipsen kann.
…

The new iPhones have an 18MP Center Stage front camera that features a new square sensor and can use AI to automatically adjust the field of view and rotation (Terrence O'Brien/The Verge)
https://www.theverge.com/iphone/774679/iphone-17-front-facing-came…

iPhone 17’s front-facing camera gets Center Stage
iPhone 17 has a new square sensor that enables Center Stage and lets you take landscape selfies without rotating the phone.

Bill and Ted's Broadway Debut
https://www.pbs.org/newshour/show/keanu-reeves-and-alex-winter-reunite-on-stage-in-broadways-waiting-for-godot

Keanu Reeves and Alex Winter reunite on stage in Broadway’s ‘Waiting for Godot’
It's a classic of theater that continues to be taken on by top actors and still resonates with audiences. “Waiting for Godot” mixes despair and comedy to raise questions about the meaning of life. Now, Keanu Reeves and Alex Winter, two actors who are great friends, are doing their waiting on Broadway. Senior arts correspondent Jeffrey Brown has the story for our arts and culture series, CANVAS.

Two-Stage Swarm Intelligence Ensemble Deep Transfer Learning (SI-EDTL) for Vehicle Detection Using Unmanned Aerial Vehicles
Zeinab Ghasemi Darehnaei, Mohammad Shokouhifar, Hossein Yazdanjouei, S. M. J. Rastegar Fatemi
https://arxiv.org/abs/2509.08026

Two-Stage Swarm Intelligence Ensemble Deep Transfer Learning (SI-EDTL) for Vehicle Detection Using Unmanned Aerial Vehicles
This paper introduces SI-EDTL, a two-stage swarm intelligence ensemble deep transfer learning model for detecting multiple vehicles in UAV images. It combines three pre-trained Faster R-CNN feature extractor models (InceptionV3, ResNet50, GoogLeNet) with five transfer classifiers (KNN, SVM, MLP, C4.5, Naïve Bayes), resulting in 15 different base learners. These are aggregated via weighted averaging to classify regions as Car, Van, Truck, Bus, or background. Hyperparameters are optimized with t…

MERLIN: Multi-Stage Curriculum Alignment for Multilingual Encoder and LLM Fusion
Kosei Uemura, David Guzm\'an, Quang Phuoc Nguyen, Jesujoba Oluwadara Alabi, En-shiun Annie Lee, David Ifeoluwa Adelani
https://arxiv.org/abs/2509.08105

MERLIN: Multi-Stage Curriculum Alignment for Multilingual Encoder and LLM Fusion
Large language models excel in English but still struggle with complex reasoning in many low-resource languages (LRLs). Existing encoder-plus-decoder methods such as LangBridge and MindMerger raise accuracy on mid and high-resource languages, yet they leave a large gap on LRLs. We present MERLIN, a two-stage model-stacking framework that applies a curriculum learning strategy -- from general bilingual bitext to task-specific data -- and adapts only a small set of DoRA weights. On the AfriMGSM b…

This is what a genocide denialist looks like.
Genocide denial is the last stage of genocide.
Phil, you’re complicit in genocide. And history is taking notes.
***
“Hamada Ice Cream shop, which has not been open for weeks, recently posted a highlight reel of the pastries, cakes and drinks the cafe once served.
‘Me and 2 million Gazans are waiting for this moment Oh God, make things easy and these days pass safely, O Lord,’ reads the video’s Arabic caption.”
…

Dual-Stage Safe Herding Framework for Adversarial Attacker in Dynamic Environment
Wenqing Wang, Ye Zhang, Haoyu Li, Jingyu Wang
https://arxiv.org/abs/2509.08460 https://

Dual-Stage Safe Herding Framework for Adversarial Attacker in Dynamic Environment
Recent advances in robotics have enabled the widespread deployment of autonomous robotic systems in complex operational environments, presenting both unprecedented opportunities and significant security problems. Traditional shepherding approaches based on fixed formations are often ineffective or risky in urban and obstacle-rich scenarios, especially when facing adversarial agents with unknown and adaptive behaviors. This paper addresses this challenge as an extended herding problem, where def…

Galerkin-ARIMA: A Two-Stage Polynomial Regression Framework for Fast Rolling One-Step-Ahead Forecasting
Haojie Liu, Zihan Lin
https://arxiv.org/abs/2507.07469

Galerkin-ARIMA: A Two-Stage Polynomial Regression Framework for Fast Rolling One-Step-Ahead Forecasting
Time-series models like ARIMA remain widely used for forecasting but limited to linear assumptions and high computational cost in large and complex datasets. We propose Galerkin-ARIMA that generalizes the AR component of ARIMA and replace it with a flexible spline-based function estimated by Galerkin projection. This enables the model to capture nonlinear dependencies in lagged values and retain the MA component and Gaussian noise assumption. We derive a closed-form OLS estimator for the Galerk…

📷 Two-stage framework reconstructs sharp 4D scenes from blurry handheld videos
#imaging

Two-stage framework reconstructs sharp 4D scenes from blurry handheld videos
Neural Radiance Fields (NeRF) is a fascinating technique that creates three-dimensional (3D) representations of a scene from a set of two-dimensional (2D) images, captured from different angles. It works by training a deep neural network to predict the color and density at any point in 3D space.

Gemma O‘Brien kicking off day two of #smashingconf Freiburg with an inspiring talk about her beautiful and powerful lettering and art work – and a super interesting interview about flow state. 👏

Capture Stage Environments: A Guide to Better Matting
Hannah Dr\"oge, Janelle Pfeifer, Saskia Rabich, Markus Plack, Reinhard Klein, Matthias B. Hullin
https://arxiv.org/abs/2507.07623

Capture Stage Environments: A Guide to Better Matting
Capture stages are high-end sources of state-of-the-art recordings for downstream applications in movies, games, and other media. One crucial step in almost all pipelines is the matting of images to isolate the captured performances from the background. While common matting algorithms deliver remarkable performance in other applications like teleconferencing and mobile entertainment, we found that they struggle significantly with the peculiarities of capture stage content. The goal of our work …

Thanks @… for the call-out on @… 🙇‍♂️ - "We Distribute Live — Sean Tilley — FediCon 2025"

Cerys Matthews coud literally stand on stage reciting the alphabet and her accent would make me melt. Nobody Welshes as well as Cerys Welshes. #TOTP

Belkin: Neuer Kameragriff fürs iPhone enthält auch Akku
Die Foxconn-Tochter, die bei manchen Produkten eng mit Apple kooperiert, hat ein neues Gerät am Start. Mit dem Stage PowerGrip kann man laden und fotografieren.

Competitive Audio-Language Models with Data-Efficient Single-Stage Training on Public Data
Gokul Karthik Kumar, Rishabh Saraf, Ludovick Lepauloux, Abdul Muneer, Billel Mokeddem, Hakim Hacid
https://arxiv.org/abs/2509.07526

Competitive Audio-Language Models with Data-Efficient Single-Stage Training on Public Data
Large language models (LLMs) have transformed NLP, yet their integration with audio remains underexplored -- despite audio's centrality to human communication. We introduce Falcon3-Audio, a family of Audio-Language Models (ALMs) built on instruction-tuned LLMs and Whisper encoders. Using a remarkably small amount of public audio data -- less than 30K hours (5K unique) -- Falcon3-Audio-7B matches the best reported performance among open-weight models on the MMAU benchmark, with a score of 64.14,…

Lin-Manuel Miranda & Jimmy Fallon Perform ‘Hamilton’ Medley With Toy Instruments
https://www.billboard.com/music/music-news/lin-manuel-miranda-ji…

Lin-Manuel Miranda & Jimmy Fallon Perform ‘Hamilton’ Medley With Toy Instruments
Lin-Manuel Miranda brought 'Hamilton' back to the stage during Tuesday night’s (Aug. 5) episode of 'The Tonight Show Starring Jimmy Fallon.

The garden festival / Landesgartenschau was not just about #gardening. There were also events etc. (Which we didn't attend)
One place was about #floristry with really beautifully decorated arrangements. I'm always a bit jealous of such things. They look really beautiful, and requir…

I wonder what the pet shop boys will do for their stage performance ........ #totp

Design of chemical recycling processes for PUR foam under uncertainty
Patrick Lotz, Luca Bosetti, Andr\'e Bardow, Sergio Lucia, Sebastian Engell
https://arxiv.org/abs/2510.08301

Design of chemical recycling processes for PUR foam under uncertainty
Optimization problems in chemical process design involve a significant number of discrete and continuous decisions. When taking into account uncertainties, the search space is very difficult to explore, even for experienced engineers. Moreover, it should be taken into account that while some decisions are fixed at the design stage, other parameters can be adapted to the realization of the uncertainty during the operation of the plant. This leads to a two-stage optimization problem which is diff…

Taking the Weight Off: Mitigating Parameter Bias from Catastrophic Outliers in 3$\times$2pt Analysis
Carolyn McDonald Mill, C. Danielle Leonard, Markus Michael Rau, Cora Uhlemann, Shahab Joudaki
https://arxiv.org/abs/2509.08052

Taking the Weight Off: Mitigating Parameter Bias from Catastrophic Outliers in 3$\times$2pt Analysis
Stage IV cosmological surveys will map the universe with unprecedented precision, reducing statistical uncertainties to levels where unmodelled systematics can significantly bias inference. In particular, photometric redshift (photo-z) errors and intrinsic alignments (IA) must be robustly accounted for to ensure accurate inference of cosmological parameters. The increasing depth of Stage IV surveys exacerbates these challenges by producing low signal-to-noise galaxy populations prone to inaccur…

Connecting the blind to groundbreaking #BCI vision restoration technology through Science Corporation's patient registry for retinal diseases https://science.xyz/news/science-patient-registry-a…

Connecting the Blind to Groundbreaking BCI Vision Restoration Technology Through Science Corporation’s Patient Registry for Retinal Diseases | Science Corporation
Science Corporation is a clinical-stage medical technology company.

Two Stage Context Learning with Large Language Models for Multimodal Stance Detection on Climate Change
Lata Pangtey, Omkar Kabde, Shahid Shafi Dar, Nagendra Kumar
https://arxiv.org/abs/2509.08024

Two Stage Context Learning with Large Language Models for Multimodal Stance Detection on Climate Change
With the rapid proliferation of information across digital platforms, stance detection has emerged as a pivotal challenge in social media analysis. While most of the existing approaches focus solely on textual data, real-world social media content increasingly combines text with visual elements creating a need for advanced multimodal methods. To address this gap, we propose a multimodal stance detection framework that integrates textual and visual information through a hierarchical fusion appro…

0.6-V, uW-Power 4-Stage OTA with Minimal Components and 100X Load Range
M. Privitera, A. D. Grasso, A. Ballo, M. Alioto
https://arxiv.org/abs/2508.05499 https://

0.6-V, uW-Power 4-Stage OTA with Minimal Components and 100X Load Range
A four-stage operational transconductance amplifier (OTA) for ultra-low-power applications is introduced in this paper. The proposed circuit inclusive of frequency compensation requires minimal transistor count and passives, overcoming the traditionally difficult compensation of 4-stage OTAs and bringing it back to the simplicity of 3-stage OTAs. At the same time, the proposed circuit achieves high power efficiency, as evidenced by the >3.7X (>11.3X) improvement in the large-signal (small-signa…

The office on Monday.
The stage was so small that I took this standing up against the back wall. Not deep enough for the drum kit, so drums/bass/guitar all in a line with just enough room for the singers not to fall off the stage.
Not feasible to have an amp on stage, so I went direct but used a QSC powered speaker to monitor, and in all honesty that was completely doable!
Sidenote: at your employee event, do not put the band in a small room with the buffet. We belong where…

From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
Zheng-An Chen, Tao Luo
https://arxiv.org/abs/2510.06954 https://a…

From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
Although transformer-based models have shown exceptional empirical performance, the fundamental principles governing their training dynamics are inadequately characterized beyond configuration-specific studies. Inspired by empirical evidence showing improved reasoning capabilities under small initialization scales in language models, we employ the gradient flow analytical framework established in [Zhou et al. NeurIPS 2022] to systematically investigate linearized Transformer training dynamics. …

Two-Stage Voting for Robust and Efficient Suicide Risk Detection on Social Media
Yukai Song, Pengfei Zhou, C\'esar Escobar-Viera, Candice Biernesser, Wei Huang, Jingtong Hu
https://arxiv.org/abs/2510.08365

Two-Stage Voting for Robust and Efficient Suicide Risk Detection on Social Media
Suicide rates have risen worldwide in recent years, underscoring the urgent need for proactive prevention strategies. Social media provides valuable signals, as many at-risk individuals - who often avoid formal help due to stigma - choose instead to share their distress online. Yet detecting implicit suicidal ideation, conveyed indirectly through metaphor, sarcasm, or subtle emotional cues, remains highly challenging. Lightweight models like BERT handle explicit signals but fail on subtle impli…

Finished "Lobizona" by Romina Garber. I have extremely mixed feelings about this book. It's a powerful depiction of the fear of living as an undocumented child/teen and it has interesting things to say about rejection, belonging, and the choice between seeking to be recognized for who you are and wanting you blend in enough to be accepted as normal. However, it's also an explicit homage to Harry Potter, and while it doesn't include antisemitic tropes or glorify slavery or even have any anti-trans sentiments I can detect, to me the magical school setup felt forced and I thought it would have been a better book had it not tried to fit that mould. Also, it would have been a super interesting situation to explore trans issues, and while it's definitely fine for it not to do that, the author's praise of Rowling's work has me wondering...
There's a sequel that I think could in theory be amazing, but given the execution of the first book, I think I'll wait a bit before checking it out. By putting her main character in opposition to both ICE in the human world and the magical authorities in the other world, Garber explicitly sets the stage for a revolution standing between her protagonist and any kind of lasting peace. But I'm not confident she's capable of writing that story without relying on some kind of supernatural deus ex machina, which would be disappointing to me, since "a better world if only possible through divine intervention" is an inherently regressive message.
Overall, #OwnVoices fantasy centering an undocumented immigrant is an excellent thing, and I've certainly got a lot of privilege that surely influences my criticism. However, #OwnVoices stuff has a range of levels of craft and political stances, and it can be excellent for some reasons and mediocre for others.
On that point, if anyone reading this has suggestions for fiction books grappling with borders and the carceral state, Is be happy to hear them.
#AmReading

L2M-AID: Autonomous Cyber-Physical Defense by Fusing Semantic Reasoning of Large Language Models with Multi-Agent Reinforcement Learning (Preprint)
Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Jun Wang, Yan Li, Chang Liu
https://arxiv.org/abs/2510.07363

L2M-AID: Autonomous Cyber-Physical Defense by Fusing Semantic Reasoning of Large Language Models with Multi-Agent Reinforcement Learning (Preprint)
The increasing integration of Industrial IoT (IIoT) exposes critical cyber-physical systems to sophisticated, multi-stage attacks that elude traditional defenses lacking contextual awareness. This paper introduces L2M-AID, a novel framework for Autonomous Industrial Defense using LLM-empowered, Multi-agent reinforcement learning. L2M-AID orchestrates a team of collaborative agents, each driven by a Large Language Model (LLM), to achieve adaptive and resilient security. The core innovation lies …

Ten major banks including Bank of America, Goldman Sachs, Deutsche Bank, and UBS announce an early-stage project to explore issuing stablecoins to G7 currencies (Reuters)
https://www.reuters.com/business/finance/major-banks-ex…

'I requested a guarantee that I could be openly out as a lesbian on stage and perform gay material. I am grateful that I was able to do precisely that — to my knowledge, I am the first openly gay comic to talk about it on stage in SA. I received messages sharing how much it meant to participate in a gay-affirming event. At the same time, I deeply regret participating under the auspices of the Saudi government.'
Lesbian comedian who performed in Saudi Arabia apologizes
https://www.washingtonblade.com/2025/10/07/lesbian-comedian-who-performed-in-saudi-arabia-apologizes/

I'm a sucker playing Castlevania.
My biggest problem is the habit to rush the stage like Super Mario... 🤦‍♂️
#castlevania #rondoofblood #konami

A great article by Maxim Kelly at the Galway Advertiser on this weekend's racist & fascist march through town and our corresponding anti-racist & anti-fascist counter-protest from the people of Galway.
https://www.advertiser.ie/galway/article/1

Visitors stage anti-migrant march in Galway
Galway city centre was especially busy last Saturday, with racegoers, summer tourists and the unusual addition of a march by far-right agitators, met by an anti-fascist counter demonstration, causing a number of streets to be closed during Raceweek.

“Start ‘vibe testing’ your website on budget devices.”
@…, delivering for performance at #smashingconf 💯💯💯💯

LLM-Driven Rubric-Based Assessment of Algebraic Competence in Multi-Stage Block Coding Tasks with Design and Field Evaluation
Yong Oh Lee, Byeonghun Bang, Sejun Oh
https://arxiv.org/abs/2510.06253

LLM-Driven Rubric-Based Assessment of Algebraic Competence in Multi-Stage Block Coding Tasks with Design and Field Evaluation
As online education platforms continue to expand, there is a growing need for assessment methods that not only measure answer accuracy but also capture the depth of students' cognitive processes in alignment with curriculum objectives. This study proposes and evaluates a rubric-based assessment framework powered by a large language model (LLM) for measuring algebraic competence, real-world-context block coding tasks. The problem set, designed by mathematics education experts, aligns each proble…

Versus: First-round rookies take center stage for Raiders and Titans in Week 6 https://www.raiders.com/news/versus-raiders-titans-leaning-on-their-first-round-rookies-week-6-ashton-jeanty-cam-ward

Zombitron: towards a toolbox for repurposing obsolete smartphones into new interactive systems
Clara Rigaud
https://arxiv.org/abs/2508.06354 https://arxiv.…

Zombitron: towards a toolbox for repurposing obsolete smartphones into new interactive systems
This article explores the possibilities of reusing obsolete smartphones and tablets to build new interactive systems. Taking the case of a musical instrument, I present my research into the design of a controller made from various of these obsolete smartphones. From the diagnostic stage to the creation of a new autonomous electronic object, I document the process, the barriers and the levers encountered. Based on these explorations and discussions with two professional musicians, I provide seve…

Center-stage selfies definitely was a surprise for me.
#apple #appleevent #iPhone

Optimal participation of energy communities in electricity markets under uncertainty. A multi-stage stochastic programming approach
Albert Sol\`a Vilalta, Ignasi Ma\~n\'e, F. - Javier Heredia
https://arxiv.org/abs/2510.04965

Optimal participation of energy communities in electricity markets under uncertainty. A multi-stage stochastic programming approach
We propose a multi-stage stochastic programming model for the optimal participation of energy communities in electricity markets. The multi-stage aspect captures the different times at which variable renewable generation and electricity prices are observed. This results in large-scale optimization problem instances containing large scenario trees with 34 stages, to which scenario reduction techniques are applied. Case studies with real data are discussed to analyse proposed regulatory framework…

https://www.alxnow.com/2025/09/05/alexandria-city-high-school-students-stage-walkout-protesting-gun-violence-in-schools/

Alexandria City High School students stage walkout protesting gun violence in schools | ALXnow
Hundreds of Alexandria City High School students held a walkout on Friday, Sept. 5, demonstrating againt gun violence in schools. The walkout at ACHS's King Street and Minnie Howard campuses started at 11:30 a.m., and lasted for less than a half hour. The demonstrations are part of a national walkout, were organized by Titans Demand

ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval
Zihan Chen, Lei Shi, Weize Wu, Qiji Zhou, Yue Zhang
https://arxiv.org/abs/2509.07512

ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval
Many contemporary data-driven research efforts in the natural sciences, such as chemistry and materials science, require large-scale, high-performance entity recognition from scientific datasets. Large language models (LLMs) have increasingly been adopted to solve the entity recognition task, with the same trend being observed on all-spectrum NLP tasks. The prevailing entity recognition LLMs rely on fine-tuned technology, yet the fine-tuning process often incurs significant cost. To achieve a b…

Crosslisted article(s) found for cs.IR. https://arxiv.org/list/cs.IR/new
[1/1]:
- ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval
Zihan Chen, Lei Shi, Weize Wu, Qiji Zhou, Yue Zhang

Nail: Not Another Fault-Injection Framework for Chisel-generated RTL
Robin Sehm, Christian Ewert, Rainer Buchty, Mladen Berekovic, Saleh Mulhem
https://arxiv.org/abs/2508.06344 …

Nail: Not Another Fault-Injection Framework for Chisel-generated RTL
Fault simulation and emulation are essential techniques for evaluating the dependability of integrated circuits, enabling early-stage vulnerability analysis and supporting the implementation of effective mitigation strategies. High-level hardware description languages such as Chisel facilitate the rapid development of complex fault scenarios with minimal modification to the design. However, existing Chisel-based fault injection (FI) frameworks are limited by coarse-grained, instruction-level co…

An Energy-Efficient Edge Coprocessor for Neural Rendering with Explicit Data Reuse Strategies
Binzhe Yuan, Xiangyu Zhang, Zeyu Zheng, Yuefeng Zhang, Haochuan Wan, Zhechen Yuan, Junsheng Chen, Yunxiang He, Junran Ding, Xiaoming Zhang, Chaolin Rao, Wenyan Su, Pingqiang Zhou, Jingyi Yu, Xin Lou
https://arxiv.org/abs/2510.07667

An Energy-Efficient Edge Coprocessor for Neural Rendering with Explicit Data Reuse Strategies
Neural radiance fields (NeRF) have transformed 3D reconstruction and rendering, facilitating photorealistic image synthesis from sparse viewpoints. This work introduces an explicit data reuse neural rendering (EDR-NR) architecture, which reduces frequent external memory accesses (EMAs) and cache misses by exploiting the spatial locality from three phases, including rays, ray packets (RPs), and samples. The EDR-NR architecture features a four-stage scheduler that clusters rays on the basis of Z-…

City Sampling for Citizens' Assemblies
Paul G\"olz, Jan Maly, Ulrike Schmidt-Kraepelin, Markus Utke, Philipp C. Verpoort
https://arxiv.org/abs/2509.07557 https://

City Sampling for Citizens' Assemblies
In citizens' assemblies, a group of constituents is randomly selected to weigh in on policy issues. We study a two-stage sampling problem faced by practitioners in countries such as Germany, in which constituents' contact information is stored at a municipal level. As a result, practitioners can only select constituents from a bounded number of cities ex post, while ensuring equal selection probability for constituents ex ante. We develop several algorithms for this problem. Although minimizi…

"Tour de France Femmes 2025: Pauline Ferrand-Prévot wins final stage and yellow jersey"
Well done Pauline, first French Winner since of a Tour since Catherine Marsal in the 1990 Tour de la CEE féminin.
The 33-year-old Frenchwoman had only returned from mountainbiking to road racing this season.

TridentServe: A Stage-level Serving System for Diffusion Pipelines
Yifei Xia, Fangcheng Fu, Hao Yuan, Hanke Zhang, Xupeng Miao, Yijun Liu, Suhan Ling, Jie Jiang, Bin Cui
https://arxiv.org/abs/2510.02838

TridentServe: A Stage-level Serving System for Diffusion Pipelines
Diffusion pipelines, renowned for their powerful visual generation capabilities, have seen widespread adoption in generative vision tasks (e.g., text-to-image/video). These pipelines typically follow an encode--diffuse--decode three-stage architecture. Current serving systems deploy diffusion pipelines within a static, manual, and pipeline-level paradigm, allocating the same resources to every request and stage. However, through an in-depth analysis, we find that such a paradigm is inefficient …

Leaked audio: Apple nears a deal to acquihire computer vision startup Prompt AI; it was approached by other potential suitors, including xAI and Neuralink (Lora Kolodny/CNBC)
https://www.cnbc.com/2025/10/10/apple-nears-deal-to-acquire-ta…

Apple nears deal to acquire talent and technology from computer vision startup Prompt AI
Apple is in late-stage talks with startup Prompt AI to bring on the company's employees and its computer vision technology.

"Every stage of fossil fuel life cycle harms people & the environment: Report"
#FossilFuels #Climate #ClimateChange

Every stage of fossil fuel life cycle harms people & the environment: Report
A new report traces the life cycle of fossil fuels — from exploration and extraction to combustion and decommissioning — and found stark consequences at each stage for the health of people and the planet alike. “By examining fossil fuels’ health hazards across their entire life cycle, this report makes an important addition to our current understanding […]

The Orbital Eccentricity-Radius Relation for Planets Orbiting M Dwarfs
Sheila Sagear, Sarah Ballard, Gregory J. Gilbert, Mariangel Albornoz, Christopher Lam
https://arxiv.org/abs/2507.07169

The Orbital Eccentricity-Radius Relation for Planets Orbiting M Dwarfs
The orbital eccentricity-radius relation for small planets is indicative of the predominant dynamical sculpting processes during late-stage orbital evolution. Previous studies have shown that planets orbiting Sun-like stars exhibit an eccentricity-radius trend such that larger planets have higher orbital eccentricities, and that radius gap planets may have modestly higher orbital eccentricities than planets on either side of the radius gap. In this work, we investigate the trend for a sample of…

I had an old portfolio site for my writing (it was never very complete and omitted my Film/TV/stage work as I was under the impression corporate gigs wouldn't want to see that).
It was never getting visited.
I replaced it with "Please go to https://stuff.davidaugust.com/ for current artic…

David August
Stories, serious articles, satire, tech trends, how to guides and ideas from David August. Actor. Writer. Acting coach.

Helical Locomotion in Yield Stress Fluids
Farshad Nazari Kourosh Shoele, Hadi Mohammadigoushki
https://arxiv.org/abs/2509.06655 https://arxiv.org/pdf/2509.…

Helical Locomotion in Yield Stress Fluids
We report three stages for locomotion of a helical swimmer in yield stress fluids. In the first stage, the swimmer must overcome material's yield strain to generate rotational motion. However, exceeding the first threshold is not sufficient for locomotion. Only when the viscous forces are sufficiently strong to plastically deform the material to a finite distance away from the swimmer, net locomotion will occur. Once locomotion is underway in the third stage, the yield stress retards swimming a…

Really enjoyed @…’s thoughtful and entertaining talk at #smashingconf today! Amazing to see how philosophical ideas influenced the design of iA’s apps and what designers can and could learn from philosophy – and vice versa. A lot of food for thought!…

And that's it, the #OpenSSLCon25 in Prague has ended. Fantastic organization, many great talks, and some funny ones, too. Recordings should be available in a few weeks.

Object Classification from JWST Catalogs
B. L. Crompvoets, H. Kirk, R. Gutermuth, J. Di Francesco
https://arxiv.org/abs/2510.07747 https://arxiv.org/pdf/25…

Object Classification from JWST Catalogs
JWST's exquisite data have opened the doors to new possibilities in detecting broad classes of astronomical objects, but also to new challenges in classifying those objects. In this work, we introduce SESHAT, the Stellar Evolutionary Stage Heuristic Assessment Tool for the identification of Young Stellar Objects, field stars (main sequence through asymptotic giant branch), brown dwarfs, white dwarfs, and galaxies, from any JWST observation. This identification is done using the machine learning…

Farage (short for Fascist Anti-democratic Rage?) may well win the next general election. One way to stand a chance to avoid that is to change the system from a first-past-the-post to a proportional one. But there is no incentive for the party in power to do so. An easier possibility, keeping the constituencies as they are, may be a 2-stage election, with the two largest parties coming out of the first to face off in the second round. Constituencies will at least have MPs with 50 % majoritie…

Laser-engineered $\Gamma$-point Topology in Trigonal Bismuthene
Zhe Li, Haijun Cao, Sheng Meng
https://arxiv.org/abs/2509.08068 https://arxiv.org/pdf/2509.…

Laser-engineered $Γ$-point Topology in Trigonal Bismuthene
The $Γ$-point topology represents a significant segment in the family of topological insulators. Here we provide a comprehensive prediction of light-induced $Γ$-point-based topological manipulation in trigonal bismuthene and its derivatives. Our findings unveil a two-stage process of topological phase transitions (TPT) as the laser intensity increases. Initially, a quantum-spin-Hall or metallic state transitions to a quantum-anomalous-Hall (QAH) state ($C$ = $\pm$3), followed by another TPT t…

"Israeli protesters stage ‘day of disruption’ calling for end to war in Gaza"
https://www.theguardian.com/world/2025/aug/26/israeli-protesters-stage-day-of-disruption-calling-for-end-to-war-in-gaza

NOWJ@COLIEE 2025: A Multi-stage Framework Integrating Embedding Models and Large Language Models for Legal Retrieval and Entailment
Hoang-Trung Nguyen, Tan-Minh Nguyen, Xuan-Bach Le, Tuan-Kiet Le, Khanh-Huyen Nguyen, Ha-Thanh Nguyen, Thi-Hai-Yen Vuong, Le-Minh Nguyen
https://arxiv.org/abs/2509.08025

NOWJ@COLIEE 2025: A Multi-stage Framework Integrating Embedding Models and Large Language Models for Legal Retrieval and Entailment
This paper presents the methodologies and results of the NOWJ team's participation across all five tasks at the COLIEE 2025 competition, emphasizing advancements in the Legal Case Entailment task (Task 2). Our comprehensive approach systematically integrates pre-ranking models (BM25, BERT, monoT5), embedding-based semantic representations (BGE-m3, LLM2Vec), and advanced Large Language Models (Qwen-2, QwQ-32B, DeepSeek-V3) for summarization, relevance scoring, and contextual re-ranking. Specific…

Fantasy football pickups: Rico Dowdle takes center stage https://www.espn.com/fantasy/football/story/_/id/46510273/fantasy-football-free-agent-pickups-waiver-wire-nfl-week-6

TSPC: A Two-Stage Phoneme-Centric Architecture for code-switching Vietnamese-English Speech Recognition
Minh N. H. Nguyen, Anh Nguyen Tran, Dung Truong Dinh, Nam Van Vo
https://arxiv.org/abs/2509.05983

TSPC: A Two-Stage Phoneme-Centric Architecture for code-switching Vietnamese-English Speech Recognition
Code-switching (CS) presents a significant challenge for general Auto-Speech Recognition (ASR) systems. Existing methods often fail to capture the subtle phonological shifts inherent in CS scenarios. The challenge is particularly difficult for language pairs like Vietnamese and English, where both distinct phonological features and the ambiguity arising from similar sound recognition are present. In this paper, we propose a novel architecture for Vietnamese-English CS ASR, a Two-Stage Phoneme-C…

Maybe it is just residual RDF over the years, but I feel like where Tim Cook has seemed all too happy to bend the knee at the White House, Steve would have been more likely to give the middle finger, literally, and probably while on stage.
I don’t really want to debate this because if I am just being overly nostalgic then the world sucks more and I don’t need any more of that.
#trump #apple #fascism

MODA: A Unified 3D Diffusion Framework for Multi-Task Target-Aware Molecular Generation
Dong Xu, Zhangfan Yang, Sisi Yuan, Jenna Xinyi Yao, Jiangqiang Li, Junkai Ji
https://arxiv.org/abs/2507.07201

MODA: A Unified 3D Diffusion Framework for Multi-Task Target-Aware Molecular Generation
Three-dimensional molecular generators based on diffusion models can now reach near-crystallographic accuracy, yet they remain fragmented across tasks. SMILES-only inputs, two-stage pretrain-finetune pipelines, and one-task-one-model practices hinder stereochemical fidelity, task alignment, and zero-shot transfer. We introduce MODA, a diffusion framework that unifies fragment growing, linker design, scaffold hopping, and side-chain decoration with a Bayesian mask scheduler. During training, a c…

A two-axes shear cell for rheo-optics
Chiara Marraffa, Stefano Aime
https://arxiv.org/abs/2509.08114 https://arxiv.org/pdf/2509.08114

A two-axes shear cell for rheo-optics
We develop and test a rheo-optical platform based on a two-axes, parallel plates shear cell coupled to an optical microscope and a photon correlation imaging setup, for simultaneous investigation of the rheological response and the microscopic structure and dynamics of soft materials under shear. Each plate of the shear cell is driven by an air bearing linear stage, actuated by a voice coil motor. A servo control loop reading the plate displacement through a contactless linear encoder enables b…

H\"ansch-Couillaud locking of a large Sagnac interferometer: advancing below the flicker floor
Jannik Zenner, Karl Ulrich Schreiber, Simon Stellmer
https://arxiv.org/abs/2510.08183

Hänsch-Couillaud locking of a large Sagnac interferometer: advancing below the flicker floor
Large Sagnac interferometers in the form of active ring lasers have emerged as unique rotation sensors in the geosciences, where their sensitivity allows to detect geodetic and seismological signals. The passive laser gyroscope variant, however, is still at a stage of development, and adequate laser frequency stabilization techniques are explored to reach the desired levels of sensitivity and stability. Here, we present the first Hänsch-Couillaud locked passive laser gyroscope. We employ a loc…

Israel is a terrorist state.
A terrorist state that is committing genocide.
Anyone who does not understand this at this point does not want to understand it on purpose and is a genocide denier. (And thus complicit in genocide as genocide denial is the last and final stage of genocide.)
#israel #sumud

An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis
Mingda Zhang, Na Zhao, Jianglong Qing, Qing xu, Kaiwen Pan, Ting luo
https://arxiv.org/abs/2507.07893

An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis
The rapid development of artificial intelligence has positioned large language models as fundamental components of intelligent legal systems. However, these models face significant limitations in legal dispute analysis, including insufficient legal knowledge representation, limited concept understanding, and reasoning deficiencies. This research proposes an enhanced framework integrating prompt engineering with multidimensional knowledge graphs. The framework introduces a three-stage hierarchic…

Dual Knowledge-Enhanced Two-Stage Reasoner for Multimodal Dialog Systems
Xiaolin Chen, Xuemeng Song, Haokun Wen, Weili Guan, Xiangyu Zhao, Liqiang Nie
https://arxiv.org/abs/2509.07817

Dual Knowledge-Enhanced Two-Stage Reasoner for Multimodal Dialog Systems
Textual response generation is pivotal for multimodal \mbox{task-oriented} dialog systems, which aims to generate proper textual responses based on the multimodal context. While existing efforts have demonstrated remarkable progress, there still exist the following limitations: 1) \textit{neglect of unstructured review knowledge} and 2) \textit{underutilization of large language models (LLMs)}. Inspired by this, we aim to fully utilize dual knowledge (\textit{i.e., } structured attribute and un…

And now, @… teaching us old dogs new CSS tricks at #smashingconf 🦮 – including magic!🤩🪄

Situationally-aware Path Planning Exploiting 3D Scene Graphs
Saad Ejaz, Marco Giberna, Muhammad Shaheer, Jose Andres Millan-Romera, Ali Tourani, Paul Kremer, Holger Voos, Jose Luis Sanchez-Lopez
https://arxiv.org/abs/2508.06283

Situationally-aware Path Planning Exploiting 3D Scene Graphs
3D Scene Graphs integrate both metric and semantic information, yet their structure remains underutilized for improving path planning efficiency and interpretability. In this work, we present S-Path, a situationally-aware path planner that leverages the metric-semantic structure of indoor 3D Scene Graphs to significantly enhance planning efficiency. S-Path follows a two-stage process: it first performs a search over a semantic graph derived from the scene graph to yield a human-understandable h…

Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
Sihyung Park (North Carolina State University), Wenbin Lu (North Carolina State University), Shu Yang (North Carolina State University)
https://arxiv.org/abs/2510.07501

Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
Truncation by death, a prevalent challenge in critical care, renders traditional dynamic treatment regime (DTR) evaluation inapplicable due to ill-defined potential outcomes. We introduce a principal stratification-based method, focusing on the always-survivor value function. We derive a semiparametrically efficient, multiply robust estimator for multi-stage DTRs, demonstrating its robustness and efficiency. Empirical validation and an application to electronic health records showcase its utili…

STAGE: Segmentation-oriented Industrial Anomaly Synthesis via Graded Diffusion with Explicit Mask Alignment
Xichen Xu, Yanshu Wang, Jinbao Wang, Qunyi Zhang, Xiaoning Lei, Guoyang Xie, Guannan Jiang, Zhichao Lu
https://arxiv.org/abs/2509.06693

STAGE: Segmentation-oriented Industrial Anomaly Synthesis via Graded Diffusion with Explicit Mask Alignment
Segmentation-oriented Industrial Anomaly Synthesis (SIAS) plays a pivotal role in enhancing the performance of downstream anomaly segmentation, as it provides an effective means of expanding abnormal data. However, existing SIAS methods face several critical limitations: (i) the synthesized anomalies often lack intricate texture details and fail to align precisely with the surrounding background, and (ii) they struggle to generate fine-grained, pixel-level anomalies. To address these challenges…

Crosslisted article(s) found for cs.CY. https://arxiv.org/list/cs.CY/new
[1/1]:
- Two Stage Context Learning with Large Language Models for Multimodal Stance Detection on Climate ...
Lata Pangtey, Omkar Kabde, Shahid Shafi Dar, Nagendra Kumar

HyperMOOC: Augmenting MOOC Videos with Concept-based Embedded Visualizations
Li Ye, Lei Wang, Lihong Cai, Ruiqi Yu, Yong Wang, Yigang Wang, Wei Chen, Zhiguang Zhou
https://arxiv.org/abs/2509.08404

HyperMOOC: Augmenting MOOC Videos with Concept-based Embedded Visualizations
Massive Open Online Courses (MOOCs) have become increasingly popular worldwide. However, learners primarily rely on watching videos, easily losing knowledge context and reducing learning effectiveness. We propose HyperMOOC, a novel approach augmenting MOOC videos with concept-based embedded visualizations to help learners maintain knowledge context. Informed by expert interviews and literature review, HyperMOOC employs multi-glyph designs for different knowledge types and multi-stage interactio…

The closing talk at #smashingconf: The fearless @… live-coding a game with canvas and GSAP 🤩👏

Channel-Coherence-Adaptive Two-Stage Fully Digital Combining for mmWave MIMO Systems
Yasaman Khorsandmanesh, Emil Bj\"ornson, Joakim Jald\'en, Bengt Lindoff
https://arxiv.org/abs/2508.04214

Channel-Coherence-Adaptive Two-Stage Fully Digital Combining for mmWave MIMO Systems
This paper considers a millimeter-wave wideband point-to-point MIMO system with fully digital transceivers at the base station and the user equipment (UE), focusing on mobile UE scenarios. A main challenge when building a digital UE combining is the large volume of baseband samples to handle. To mitigate computational and hardware complexity, we propose a novel two-stage digital combining scheme at the UE. The first stage reduces the $N_{\text{r}}$ received signals to $N_{\text{c}}$ streams bef…

Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning
Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong
https://arxiv.org/abs/2509.06948 https://

Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning
Reinforcement learning (RL) has proven effective in incentivizing the reasoning abilities of large language models (LLMs), but suffers from severe efficiency challenges due to its trial-and-error nature. While the common practice employs supervised fine-tuning (SFT) as a warm-up stage for RL, this decoupled two-stage approach limits interaction between SFT and RL, thereby constraining overall effectiveness. This study introduces a novel method for learning reasoning models that employs bilevel …

Integrated Bus Fleet Electrification Planning Through Accelerated Logic-Based Benders Decomposition and Restriction Heuristics
Robin Legault, Filipe Cabral, Xu Andy Sun
https://arxiv.org/abs/2508.05863

Integrated Bus Fleet Electrification Planning Through Accelerated Logic-Based Benders Decomposition and Restriction Heuristics
To meet sustainability goals and regulatory requirements, transit agencies worldwide are planning partial and complete transitions to electric bus fleets. This paper presents the first comprehensive and computationally efficient multi-period optimization framework integrating the key planning decisions necessary to support such electrification initiatives. Our model, formulated as a two-stage integer program with integer subproblems, jointly optimizes yearly fleet and charging infrastructure in…

ArchXBench: A Complex Digital Systems Benchmark Suite for LLM Driven RTL Synthesis
Suresh Purini, Siddhant Garg, Mudit Gaur, Sankalp Bhat, Sohan Mupparapu, Arun Ravindran
https://arxiv.org/abs/2508.06047

ArchXBench: A Complex Digital Systems Benchmark Suite for LLM Driven RTL Synthesis
Modern SoC datapaths include deeply pipelined, domain-specific accelerators, but their RTL implementation and verification are still mostly done by hand. While large language models (LLMs) exhibit advanced code-generation abilities for programming languages like Python, their application to Verilog-like RTL remains in its nascent stage. This is reflected in the simple arithmetic and control circuits currently used to evaluate generative capabilities in existing benchmarks. In this paper, we int…

Towards an application of fourth-order shear statistics II: Efficient estimation of fourth-order shear correlation functions and an application to the DES Y3 data
Lucas Porth, Elena Silvestre-Rosello, Peter Schneider, Martina Larma
https://arxiv.org/abs/2509.07974

Towards an application of fourth-order shear statistics II: Efficient estimation of fourth-order shear correlation functions and an application to the DES Y3 data
Higher-order lensing statistics contain a wealth of cosmological information that is not captured by second-order statistics. Stage-III lensing surveys have sufficient statistical power to significantly detect cumulant-based statistics up to fourth order. We derive and validate an efficient estimation procedure for the four-point correlation function (4PCF) of polar fields such as weak lensing shear. We then use our approach to measure the shear 4PCF and the fourth-order aperture mass statistic…

Aye, I could do that.
👇
#Galway

TOI-1259Ab: A Warm Jupiter Orbiting a K-dwarf White-Dwarf Binary is on a Well-aligned Orbit
Hugo Veldhuis, Juan I. Espinoza-Retamal, Gudmundur Stefansson, Alexander P. Stephan, David V. Martin, David Bruijne, Suvrath Mahadevan, Joshua N. Winn, Cullen H. Blake, Fei Dai, Rachel B. Fernandes, Evan Fitzmaurice, Eric B. Ford, Mark R. Giovinazzi, Arvind F. Gupta, Samuel Halverson, Te Han, Daniel Krolikowski, Joe Ninan, Cristobal Petrovich, Paul Robertson, Arpita Roy, Christian Schwab, Ryan T…

TOI-1259Ab: A Warm Jupiter Orbiting a K-dwarf White-Dwarf Binary is on a Well-aligned Orbit
The evolution of one member of a stellar binary into a white dwarf has been proposed as a mechanism that triggers the formation of close-in gas giant planets. The star's asymmetric mass loss during the AGB stage gives it a "kick" that can initiate Eccentric Lidov-Kozai oscillations, potentially causing a planet around the secondary star to migrate inwards and perturbing the eccentricity and inclination of its orbit. Here we present a measurement of the stellar obliquity of TOI-1259Ab, a gas gia…

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization
Tiancheng Xing, Jerry Li, Yixuan Du, Xiyang Hu
https://arxiv.org/abs/2510.06732 https://

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization
Large language models (LLMs) are increasingly used as rerankers in information retrieval, yet their ranking behavior can be steered by small, natural-sounding prompts. To expose this vulnerability, we present Rank Anything First (RAF), a two-stage token optimization method that crafts concise textual perturbations to consistently promote a target item in LLM-generated rankings while remaining hard to detect. Stage 1 uses Greedy Coordinate Gradient to shortlist candidate tokens at the current po…

Controlling GaN nucleation via O$_2$-plasma-perforated graphene masks on c-plane sapphire
Su Young An, Chinkyo Kim
https://arxiv.org/abs/2509.08275 https://

Controlling GaN nucleation via O$_2$-plasma-perforated graphene masks on c-plane sapphire
Atomically thin, perforated graphene on $c$-plane sapphire functions as a nanoscale mask that enables GaN growth through thru-holes. We tune the perforated-area fraction $f_p$ by controlled O$_2$-plasma exposure and quantify its impact on early-stage nucleation: the nucleation-site density scales with $f_p$, while the nucleation-delay time decreases approximately as $1/f_p$. Time-resolved areal coverage and domain counts exhibit systematic $f_p$-dependent trends. A kinetic Monte Carlo (kMC) mod…

"Every stage of fossil fuel life cycle harms people & the environment: Report"
#FossilFuels #Climate #ClimateChange

Every stage of fossil fuel life cycle harms people & the environment: Report
A new report traces the life cycle of fossil fuels — from exploration and extraction to combustion and decommissioning — and found stark consequences at each stage for the health of people and the planet alike. “By examining fossil fuels’ health hazards across their entire life cycle, this report makes an important addition to our current understanding […]

Are they on a stage in the #TOTP studio? It looks too big for that.

"set the stage for SCOTUS to allow or prevent ICE from stopping, questioning, detaining and potentially arresting people in a "roving" manner in California on the idea that an individual's Hispanic appearance, speaking in Spanish or speaking English with an accent, day labor occupation, and location amount to "reasonable suspicion" of unlawful presence in the country."
Trump admin asks SCOTUS to halt judge's ICE injunction
https://lawandcrime.com/high-profile/trump-admin-begs-scotus-to-destroy-judges-potential-contempt-trap-and-let-ice-stop-question-spanish-speaking-day-laborers/

NRRS: Neural Russian Roulette and Splitting
Haojie Jin, Jierui Ren, Yisong Chen, Guoping Wang, Sheng Li
https://arxiv.org/abs/2510.07868 https://arxiv.org/…

NRRS: Neural Russian Roulette and Splitting
We propose a novel framework for Russian Roulette and Splitting (RRS) tailored to wavefront path tracing, a highly parallel rendering architecture that processes path states in batched, stage-wise execution for efficient GPU utilization. Traditional RRS methods, with unpredictable path counts, are fundamentally incompatible with wavefront's preallocated memory and scheduling requirements. To resolve this, we introduce a normalized RRS formulation with a bounded path count, enabling stable and m…

Scaling RL to Long Videos
Yukang Chen, Wei Huang, Baifeng Shi, Qinghao Hu, Hanrong Ye, Ligeng Zhu, Zhijian Liu, Pavlo Molchanov, Jan Kautz, Xiaojuan Qi, Sifei Liu, Hongxu Yin, Yao Lu, Song Han
https://arxiv.org/abs/2507.07966

Scaling RL to Long Videos
We introduce a full-stack framework that scales up reasoning in vision-language models (VLMs) to long videos, leveraging reinforcement learning. We address the unique challenges of long video reasoning by integrating three critical components: (1) a large-scale dataset, LongVideo-Reason, comprising 52K long video QA pairs with high-quality reasoning annotations across diverse domains such as sports, games, and vlogs; (2) a two-stage training pipeline that extends VLMs with chain-of-thought supe…

Signals vs. Videos: Advancing Motion Intention Recognition for Human-Robot Collaboration in Construction
Charan Gajjala Chenchu, Kinam Kim, Gao Lu, Zia Ud Din
https://arxiv.org/abs/2509.07990

Signals vs. Videos: Advancing Motion Intention Recognition for Human-Robot Collaboration in Construction
Human-robot collaboration (HRC) in the construction industry depends on precise and prompt recognition of human motion intentions and actions by robots to maximize safety and workflow efficiency. There is a research gap in comparing data modalities, specifically signals and videos, for motion intention recognition. To address this, the study leverages deep learning to assess two different modalities in recognizing workers' motion intention at the early stage of movement in drywall installation …

A Scaling Law for the Orbital Architecture of Planetary Systems Formed by Gravitational Scattering and Collisions
Eiichiro Kokubo, Haruka Hoshino, Yuji Matsumoto, Re'em Sari
https://arxiv.org/abs/2509.06738

A Scaling Law for the Orbital Architecture of Planetary Systems Formed by Gravitational Scattering and Collisions
In the standard formation models of terrestrial planets in the solar system and close-in super-Earths in non-resonant orbits recently discovered by exoplanet observations, planets are formed by giant impacts of protoplanets or planetary embryos after the dispersal of protoplanetary disk gas in the final stage. This study aims to theoretically clarify a fundamental scaling law for the orbital architecture of planetary systems formed by giant impacts. In the giant impact stage, protoplanets gravi…

Design and optimization of neural networks for multifidelity cosmological emulation
Yanhui Yang, Simeon Bird, Ming-Feng Ho, Mahdi Qezlou
https://arxiv.org/abs/2507.07184

Design and optimization of neural networks for multifidelity cosmological emulation
Accurate and efficient simulation-based emulators are essential for interpreting cosmological survey data down to nonlinear scales. Multifidelity emulation techniques reduce simulation costs by combining high- and low-fidelity data, but traditional regression methods such as Gaussian processes struggle with scalability in sample size and dimensionality. In this work, we present T2N-MusE, a neural network framework characterized by (i) a novel 2-step multifidelity architecture, (ii) a 2-stage Ba…

“Trump has a child’s understanding of the world and is driven by ego and whatever impulses come into his weak mind. It’s causing the U.S. economy to burn as he pursues trade and economic policies that are completely unworkable and destroys U.S. leadership on the global stage. And he’s doing a lot of it to distract from the Epstein files.”
Trump discovers rejection on the world stage — because of his 'weak mind': analysis - Alternet.org
https://www.alternet.org/trump-international-leaders/

Joint Antenna Positioning and Beamforming for Movable Antenna Array Aided Ground Station in Low-Earth Orbit Satellite Communication
Jinming Wang, Lipeng Zhu, Shuai Han, He Sun, Rui Zhang
https://arxiv.org/abs/2509.07511

Joint Antenna Positioning and Beamforming for Movable Antenna Array Aided Ground Station in Low-Earth Orbit Satellite Communication
This paper proposes a new architecture for the low-earth orbit (LEO) satellite ground station aided by movable antenna (MA) array. Unlike conventional fixed-position antenna (FPA), the MA array can flexibly adjust antenna positions to reconfigure array geometry, for more effectively mitigating interference and improving communication performance in ultra-dense LEO satellite networks. To reduce movement overhead, we configure antenna positions at the antenna initialization stage, which remain un…

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion
Wentao Qu, Guofeng Mei, Jing Wang, Yujiao Wu, Xiaoshui Huang, Liang Xiao
https://arxiv.org/abs/2508.03252

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion
Denoising Diffusion Probabilistic Models (DDPMs) have shown success in robust 3D object detection tasks. Existing methods often rely on the score matching from 3D boxes or pre-trained diffusion priors. However, they typically require multi-step iterations in inference, which limits efficiency. To address this, we propose a \textbf{R}obust single-stage fully \textbf{S}parse 3D object \textbf{D}etection \textbf{Net}work with a Detachable Latent Framework (DLF) of DDPMs, named RSDNet. Specifically…

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval
Hao Lin, Peitong Xie, Jingxue Chen, Jie Lin, Qingkun Tang, Qianchun Lu
https://arxiv.org/abs/2509.06650

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval
Retrieval-Augmented Generation (RAG) systems rely heavily on the retrieval stage, particularly the coarse-ranking process. Existing coarse-ranking optimization approaches often struggle to balance domain-specific knowledge learning with query enhencement, resulting in suboptimal retrieval performance. To address this challenge, we propose MoLER, a domain-aware RAG method that uses MoL-Enhanced Reinforcement Learning to optimize retrieval. MoLER has a two-stage pipeline: a continual pre-training…

Rate-Adaptive Semantic Communication via Multi-Stage Vector Quantization
Jinsung Park, Junyong Shin, Yongjeong Oh, Jihun Park, Yo-Seb Jeon
https://arxiv.org/abs/2510.02646 https…

Rate-Adaptive Semantic Communication via Multi-Stage Vector Quantization
This paper proposes a novel framework for rate-adaptive semantic communication based on multi-stage vector quantization (VQ), termed \textit{MSVQ-SC}. Unlike conventional single-stage VQ approaches, which require exponentially larger codebooks to achieve higher fidelity, the proposed framework decomposes the quantization process into multiple stages and dynamically activates both stages and individual VQ modules. This design enables fine-grained rate adaptation under varying bit constraints whi…

Mid-Training of Large Language Models: A Survey
Kaixiang Mo, Yuxin Shi, Weiwei Weng, Zhiqiang Zhou, Shuman Liu, Haibo Zhang, Anxiang Zeng
https://arxiv.org/abs/2510.06826 https:…

Mid-Training of Large Language Models: A Survey
Large language models (LLMs) are typically developed through large-scale pre-training followed by task-specific fine-tuning. Recent advances highlight the importance of an intermediate mid-training stage, where models undergo multiple annealing-style phases that refine data quality, adapt optimization schedules, and extend context length. This stage mitigates diminishing returns from noisy tokens, stabilizes convergence, and expands model capability in late training. Its effectiveness can be ex…

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
5 Team, Aohan Zeng, Xin Lv, Qinkai Zheng, Zhenyu Hou, Bin Chen, Chengxing Xie, Cunxiang Wang, Da Yin, Hao Zeng, Jiajie Zhang, Kedong Wang, Lucen Zhong, Mingdao Liu, Rui Lu, Shulin Cao, Xiaohan Zhang, Xuancheng Huang, Yao Wei, Yean Cheng, Yifan An, Yilin Niu, Yuanhao Wen, Yushi Bai, Zhengxiao Du, Zihan Wang, Zilin Zhu, Bohan Zhang, Bosi Wen, Bowen Wu, Bowen Xu, Can Huang, Casey Zhao, Changpeng Cai, Chao Yu, Chen Li, Chendi …

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
We present GLM-4.5, an open-source Mixture-of-Experts (MoE) large language model with 355B total parameters and 32B activated parameters, featuring a hybrid reasoning method that supports both thinking and direct response modes. Through multi-stage training on 23T tokens and comprehensive post-training with expert model iteration and reinforcement learning, GLM-4.5 achieves strong performance across agentic, reasoning, and coding (ARC) tasks, scoring 70.1% on TAU-Bench, 91.0% on AIME 24, and 64…

SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge
Lukas Haas, Gal Yona, Giovanni D'Antonio, Sasha Goldshtein, Dipanjan Das
https://arxiv.org/abs/2509.07968

SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge
We introduce SimpleQA Verified, a 1,000-prompt benchmark for evaluating Large Language Model (LLM) short-form factuality based on OpenAI's SimpleQA. It addresses critical limitations in OpenAI's benchmark, including noisy and incorrect labels, topical biases, and question redundancy. SimpleQA Verified was created through a rigorous multi-stage filtering process involving de-duplication, topic balancing, and source reconciliation to produce a more reliable and challenging evaluation set, alongsi…