Tootfinder

Oh hey, it's #ScreenshotSaturday , here's the latest mockup from the video game adaptation of Battle of Tarot I'm working on with some lovely people.
Everything is still a work-in-progress and not final at all, but trying to get the visual style nailed down.
#GameDev

Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval
Ruofan Hu, Yan Xia, Minjie Hong, Jieming Zhu, Bo Chen, Xiaoda Yang, Minghui Fang, Tao Jin
https://arxiv.org/abs/2506.14445

Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval
Multimodal large language models (MLLMs) have seen substantial progress in recent years. However, their ability to represent multimodal information in the acoustic domain remains underexplored. In this work, we introduce Vela, a novel framework designed to adapt MLLMs for the generation of universal multimodal embeddings. By leveraging MLLMs with specially crafted prompts and selected in-context learning examples, Vela effectively bridges the modality gap across various modalities. We then prop…

Done some more work with the VR animation engine today.
Seems to now be working that I can lay in the path that the character will walk, and then puppet their limbs as they walk it.
Done more work to standardize how all the slapdash episode structure is so now there's also a #wip #starshipsd #gamedev

Global linear drift-wave eigenmode structures on flux surfaces in stellarators: ion temperature gradient mode
Hongxuan Zhu, H. Chen, Z. Lin, A. Bhattacharjee
https://arxiv.org/abs/2506.12948

Global linear drift-wave eigenmode structures on flux surfaces in stellarators: ion temperature gradient mode
Turbulent transport greatly impacts the performance of stellarator magnetic confinement devices. While significant progress has been made on the numerical front, theoretical understanding of turbulence in stellarators is still lacking. In particular, due to nonaxisymmetry, different field lines couple within flux surfaces, the effects from which have yet to be adequately studied. In this work, we numerically simulate the linear electrostatic ion-temperature-gradient modes in stellarators using …

#TooLong4FessHole I have been trying to become better friends with the partner of my bestie for over a decade since they hooked up - for the obvious reasons. I never felt as though I was making any progress; all of the work was being done by me and I still felt like I was receiving "disapproving father in law" vibes.
Recently I behaved poorly about something; I immediately recon…

Beyond Formal Semantics for Capabilities and Skills: Model Context Protocol in Manufacturing
Luis Miguel Vieira da Silva, Aljosha K\"ocher, Felix Gehlhoff
https://arxiv.org/abs/2506.11180

Beyond Formal Semantics for Capabilities and Skills: Model Context Protocol in Manufacturing
Explicit modeling of capabilities and skills -- whether based on ontologies, Asset Administration Shells, or other technologies -- requires considerable manual effort and often results in representations that are not easily accessible to Large Language Models (LLMs). In this work-in-progress paper, we present an alternative approach based on the recently introduced Model Context Protocol (MCP). MCP allows systems to expose functionality through a standardized interface that is directly consumab…

WIP: Exploring the Value of a Debugging Cheat Sheet and Mini Lecture in Improving Undergraduate Debugging Skills and Mindset
Andrew Ash, John Hu
https://arxiv.org/abs/2506.11339

WIP: Exploring the Value of a Debugging Cheat Sheet and Mini Lecture in Improving Undergraduate Debugging Skills and Mindset
This work-in-progress research paper explores the efficacy of a small-scale microelectronics debugging education intervention utilizing quasi-experimental design in an introductory microelectronics course for third-year electrical and computer engineering (ECE) students. In the first semester of research, the experimental group attended a debugging "mini lecture" covering two common sources of circuit error and received a debugging cheat sheet with recommendations for testing and hypothesis for…

Work in progress
It's almost time! We can't wait to welcome you to Berlin Buzzwords tomorrow for our 16th edition!
Grab your Last Minute Tickets now: https://tickets.plainschwarz.com/bbuzz25/c/7bjWaoGyO/

Tickets
Join us for two days of exciting talks, workshops and discussions, and of course our barcamp on Sunday! Berlin Buzzwords will take place as a hybrid conference online and in our venue Kulturbrauerei in Berlin.

🤩 The latest Safari 26 Beta does not disappoint in terms of #CSS features:
⚓️ Anchor Positioning!
🪄 Scroll-driven animations!
🌯 text-wrap: pretty!
🌈 contrast-color()!
⏲️ progress()!
and more!
And this sentence: “We value the principles of progressive enhancement and separation of concerns.” 😉
Great work, @…

News from WWDC25: WebKit in Safari 26 beta
Welcome to WWDC25!

Work-in-Progress: Multi-Deadline DAG Scheduling Model for Autonomous Driving Systems
Atsushi Yano, Takuya Azumi
https://arxiv.org/abs/2505.06780 https://…

Work-in-Progress: Multi-Deadline DAG Scheduling Model for Autonomous Driving Systems
Autoware is an autonomous driving system implemented on Robot Operation System (ROS) 2, where an end-to-end timing guarantee is crucial to ensure safety. However, existing ROS 2 cause-effect chain models for analyzing end-to-end latency struggle to accurately represent the complexities of Autoware, particularly regarding sync callbacks, queue consumption patterns, and feedback loops. To address these problems, we propose a new scheduling model that decomposes the end-to-end timing constraints o…

Slow progress the last couple days because I've been going into the office for work and the commute is eating up my time I'd otherwise spend on such things.
But now it's the weekend and the switch engine board is coming together nicely.
Still have 514 nets to route - mostly the supervisor, line card management buses, and power supply but also some other odds and ends like the FPGA JTAG and part of the SPI flash.
Also I have to get the tach/PWM signals from the m…

Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents
Xiao Yu, Baolin Peng, Ruize Xu, Michel Galley, Hao Cheng, Suman Nath, Jianfeng Gao, Zhou Yu
https://arxiv.org/abs/2506.00320

Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents
Recent progress in reasoning with large language models (LLMs), such as DeepSeek-R1, demonstrates impressive capabilities in domains like mathematics and coding, by exhibiting complex cognitive behaviors such as verification, goal decomposition, and self-reflection. However, it is unclear what behavior is effective and what behavior is missing for long-horizon AI agents tasks. In this work, we propose Dyna-Think, a thinking framework that integrates planning with an internal world model with re…

#PhantastikPrompts 10.06.:
Wie hältst du es mit geschlechtergerechter Sprache?
Wer bei mir mitliest, dürfte gesehen haben, dass ich nach Möglichkeit neutrale Formen verwende (und wo es sich absolut nicht ausgeht damit, den Stern verwende). Bis hin dazu, dass ich sowohl für den Eigengebrauch, als auch für den Fremdgebrauch und die Romanwelt ein paar Neologismen geschaffen ha…

This https://arxiv.org/abs/2506.05678 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Numerical Investigation of Sequence Modeling Theory using Controllable Memory Functions
The evolution of sequence modeling architectures, from recurrent neural networks and convolutional models to Transformers and structured state-space models, reflects ongoing efforts to address the diverse temporal dependencies inherent in sequential data. Despite this progress, systematically characterizing the strengths and limitations of these architectures remains a fundamental challenge.In this work, we propose a synthetic benchmarking framework to evaluate how effectively different sequenc…

This https://arxiv.org/abs/2404.08578 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Classification and nonexistence for $t$-structures on derived categories of schemes
This work establishes new results on the classification of $t$-structures for many subcategories of the derived category of quasi-coherent sheaves on a Noetherian scheme. Our work makes progress in two different directions. On one hand, we provide an improvement of a result of Takahashi on $t$-structures, generalizing it to the case of the bounded derived category of coherent sheaves on a quasi-compact CM-excellent scheme of finite Krull dimension. On the other hand, via independent techniques,…

This https://arxiv.org/abs/2405.08719 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
Driven by steady progress in deep generative modeling, simulation-based inference (SBI) has emerged as the workhorse for inferring the parameters of stochastic simulators. However, recent work has demonstrated that model misspecification can compromise the reliability of SBI, preventing its adoption in important applications where only misspecified simulators are available. This work introduces robust posterior estimation~(RoPE), a framework that overcomes model misspecification with a small re…

Pride progress? As gay pro athletes consider coming out, each announcement makes a mark https://www.nytimes.com/athletic/6396179/2025/06/03/pride-month-gay-pro-athletes-evolution/

What is the difference between Microsoft Copilot and a Microsoft Copilot laptop??
This article is useful in light of yesterday's news about them bringing back Recall on Copilot hardware:
https://www.wired.com/story/what-is-copilot-plus-pc/
There a…

Repeating Flares, X-ray Outbursts and Delayed Infrared Emission: A Comprehensive Compilation of Optical Tidal Disruption Events
D. A. Langis, I. Liodakis, K. I. I. Koljonen, A. Paggi, N. Globus, L. Wyrzykowski, P. J. Miko{\l}ajczyk, K. Kotysz, P. Zieli\'nski, N. Ihanec, J. Ding, D. Morshed, Z. Torres
https://arxiv.org/abs/25…

Repeating Flares, X-ray Outbursts and Delayed Infrared Emission: A Comprehensive Compilation of Optical Tidal Disruption Events
Tidal disruption events (TDEs) have been proposed as valuable laboratories for studying dormant black holes. However, progress in this field has been hampered by the limited number of observed events. In this work, we present TDECat, a comprehensive catalogue of 134 confirmed TDEs (131 optical TDEs and 3 jetted TDEs) discovered up to the end of 2024, accompanied by multi-wavelength photometry (X-ray, UV, optical, and IR) and publicly available spectra. We also study the statistical properties, …

I mean, I don't usually write happy songs, but this looks good so far, right?

This https://arxiv.org/abs/2505.06780 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csOS_…

Work-in-Progress: Multi-Deadline DAG Scheduling Model for Autonomous Driving Systems
Autoware is an autonomous driving system implemented on Robot Operation System (ROS) 2, where an end-to-end timing guarantee is crucial to ensure safety. However, existing ROS 2 cause-effect chain models for analyzing end-to-end latency struggle to accurately represent the complexities of Autoware, particularly regarding sync callbacks, queue consumption patterns, and feedback loops. To address these problems, we propose a new scheduling model that decomposes the end-to-end timing constraints o…

During work (no technical hanky panky)

WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis
Liangliang Chen, Huiru Xie, Jacqueline Rohde, Ying Zhang
https://arxiv.org/abs/2506.08962

WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis
This research-to-practice work-in-progress (WIP) paper presents an AI-enabled smart tutor designed to provide homework assessment and feedback for students in an undergraduate circuit analysis course. We detail the tutor's design philosophy and core components, including open-ended question answering and homework feedback generation. The prompts are carefully crafted to optimize responses across different problems. The smart tutor was deployed on the Microsoft Azure platform and is currently in…

Joint ASR and Speaker Role Tagging with Serialized Output Training
Anfeng Xu, Tiantian Feng, Shrikanth Narayanan
https://arxiv.org/abs/2506.10349 https://

Joint ASR and Speaker Role Tagging with Serialized Output Training
Automatic Speech Recognition systems have made significant progress with large-scale pre-trained models. However, most current systems focus solely on transcribing the speech without identifying speaker roles, a function that is critical for conversational AI. In this work, we investigate the use of serialized output training (SOT) for joint ASR and speaker role tagging. By augmenting Whisper with role-specific tokens and fine-tuning it with SOT, we enable the model to generate role-aware trans…

This https://arxiv.org/abs/2503.09532 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
Sparse autoencoders (SAEs) are a popular technique for interpreting language model activations, and there is extensive recent work on improving SAE effectiveness. However, most prior work evaluates progress using unsupervised proxy metrics with unclear practical relevance. We introduce SAEBench, a comprehensive evaluation suite that measures SAE performance across eight diverse metrics, spanning interpretability, feature disentanglement and practical applications like unlearning. To enable syst…