Tootfinder

Look who was watching over our sleep tonight! 😅🤣😁🤞
#turengartilkobenhavn #amagerftw
#misterbean

from my link log —
A simple ray tracer written in the meson.build language.
https://github.com/annacrombie/meson-raytracer
saved 2023-11-19

GitHub - annacrombie/meson-raytracer
Contribute to annacrombie/meson-raytracer development by creating an account on GitHub.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
Eunseop Yoon, Hee Suk Yoon, Mark A. Hasegawa-Johnson, Chang D. Yoo
https://arxiv.org/abs/2507.04976

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
In the broader context of deep learning, Multimodal Large Language Models have achieved significant breakthroughs by leveraging powerful Large Language Models as a backbone to align different modalities into the language space. A prime exemplification is the development of Video Large Language Models (Video-LLMs). While numerous advancements have been proposed to enhance the video understanding capabilities of these models, they are predominantly trained on questions generated directly from vid…

inploid: Inploid: an online social Q&A platform
Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for …

Opened up YouTube, got nerd sniped with a math problem. After a bad morning, it was the perfect thing to take a break working on. Still haven't watched the actual video, just the thumbnail...will do that once I get off of work to see if we got to the answer the same way (well, the proof that is). #math

I find myself thinking about a long-lost friend a lot lately. Sometime in the late 90s, we both accepted that our friendship had run its course. I had come to embrace fairly low-key socialism and he was increasingly angry about the media's "liberal bias." The common ground we had once shared was gone. I imagine him cheering now, even as I recall his father, a deeply conservative Marine colonel, remarking that only authoritarian regimes used the military against their own citize…

Data Discovery using LLMs -- A Study of Data User Behaviour
Christin Katharina Kreutz, Anja Perry, Tanja Friedrich
https://arxiv.org/abs/2507.04444 https:/…

Data Discovery using LLMs -- A Study of Data User Behaviour
Data search for scientific research is more complex than a simple web search. The emergence of large language models (LLMs) and their applicability for scientific tasks offers new opportunities for researchers who are looking for data, e.g., to freely express their data needs instead of fitting them into restrictions of data catalogues and portals. However, this also creates uncertainty about whether LLMs are suitable for this task. To answer this question, we conducted a user study with 32 res…

Bookmark this for when you ask yourself why skepticism turns to hatred on the use of unconstrained LLMs.
https://infosec.exchange/@dvandal/114638324336575392

@… Fundstück aus KStA alles nur sehr kurz angerissen.

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding
Emmanouil Zaranis, Ant\'onio Farinhas, Saul Santos, Beatriz Canaverde, Miguel Moura Ramos, Aditya K Surikuchi, Andr\'e Viveiros, Baohao Liao, Elena Bueno-Benito, Nithin Sivakumaran, Pavlo Vasylenko, Shoubin Yu, Sonal Sannigrahi, Wafaa Mohammed, Ben Peters, Danae S\'anchez Villegas, Elias Stengel-Eskin, Giuseppe Attanasio, Jaehong Yoon, Stella Frank, Alessandro Suglia, Chrysoula Zerva, Desmond Elliott, M…

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding
Despite recent progress in vision-language models (VLMs), holistic understanding of long-form video content remains a significant challenge, partly due to limitations in current benchmarks. Many focus on peripheral, ``needle-in-a-haystack'' details, encouraging context-insensitive retrieval over deep comprehension. Others rely on large-scale, semi-automatically generated questions (often produced by language models themselves) that are easier for models to answer but fail to reflect genuine und…