Tootfinder

Data-Centric Elastic Pipeline Parallelism for Efficient Long-Context LLM Training
Shiju Wang, Yujie Wang, Ao Sun, Fangcheng Fu, Zijian Zhu, Bin Cui, Xu Han, Kaisheng Ma
https://arxiv.org/abs/2509.21275

Data-Centric Elastic Pipeline Parallelism for Efficient Long-Context LLM Training
Long context training is crucial for LLM's context extension. Existing schemes, such as sequence parallelism, incur substantial communication overhead. Pipeline parallelism (PP) reduces this cost, but its effectiveness hinges on partitioning granularity. Batch-level PP dividing input samples exhibits high memory consumption in long-context scenario, whereas token-level PP splitting sequences into slices alleviates memory overhead but may incur hardware under-utilization. This trade-off motivate…

1/N Ei vastuullisuus- ja kestävyys-stragegialle! Ahaa, miten niin?... Tärkeille asioille tykätään tehdä omia strategioita, mutta 1) firmaan mahtuu vain yksi strategia, 2) joita voi olla montaa sorttia, 3) joita kehitetään monella tyylillä, joten 4) kaikenlaisten tärkeiden asioiden pitää sulautua siihen kokonaisuuteen ja sen syntymistapaan.
Niinpä...

SDG:t 10 vuotta - missä ICT:n vastaavat? YK:n kestävän kehityksen tavoitteet täyttävät tänä vuonna kymmenen vuotta. Kun ICT on kaikkien haasteiden iso tekijä, voisiko sille laatia vastaavaa? Pari asiaa pohtivaa sanaa Pitkyn netissä:
"SDG:t 10 vuotta - missä ICT:n vastaavat?"
https://pitky.…

SDG:t 10 vuotta - missä ICT:n vastaavat? - Pitky
YK:n kestävän kehityksen tavoitteista, jotkä 25.9.2025 täyttävät kymmenen vuotta. Viimeisen kymmenen vuoden aikana ymmärrys ja kokemus ICT:n kestävyyshaasteista on kehittynyt siinä määrin, että vastaavanlaisen rakentaa... mutta se ei olisi helppoa.

RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation
Yuming Jiang, Siteng Huang, Shengke Xue, Yaxi Zhao, Jun Cen, Sicong Leng, Kehan Li, Jiayan Guo, Kexiang Wang, Mingxiu Chen, Fan Wang, Deli Zhao, Xin Li
https://arxiv.org/abs/2509.15212

RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation
This paper presents RynnVLA-001, a vision-language-action(VLA) model built upon large-scale video generative pretraining from human demonstrations. We propose a novel two-stage pretraining methodology. The first stage, Ego-Centric Video Generative Pretraining, trains an Image-to-Video model on 12M ego-centric manipulation videos to predict future frames conditioned on an initial frame and a language instruction. The second stage, Human-Centric Trajectory-Aware Modeling, extends this by jointly …

Happy birthday to Marie Osmond!
#dada
https://youtube.com/watch?v=USTQgu229Wc&si=kWszHaMo4zkkG_yK

Joint Lossless Compression and Steganography for Medical Images via Large Language Models
Pengcheng Zheng, Xiaorong Pu, Kecheng Chen, Jiaxin Huang, Meng Yang, Bai Feng, Yazhou Ren, Jianan Jiang
https://arxiv.org/abs/2508.01782

Joint Lossless Compression and Steganography for Medical Images via Large Language Models
Recently, large language models (LLMs) have driven promis ing progress in lossless image compression. However, di rectly adopting existing paradigms for medical images suf fers from an unsatisfactory trade-off between compression performance and efficiency. Moreover, existing LLM-based compressors often overlook the security of the compres sion process, which is critical in modern medical scenarios. To this end, we propose a novel joint lossless compression and steganography framework. …

Federal Reserve Communication and the COVID-19 Pandemic
Jonathan Benchimol, Sophia Kazinnik, Yossi Saadon
https://arxiv.org/abs/2508.04830 https://arxiv.or…

Federal Reserve Communication and the COVID-19 Pandemic
In this study, we examine the Federal Reserve's communication strategies during the COVID-19 pandemic, comparing them with communication during previous periods of economic stress. Using specialized dictionaries tailored to COVID-19, unconventional monetary policy (UMP), and financial stability, combined with sentiment analysis and topic modeling techniques, we identify a distinct focus in Fed communication during the pandemic on financial stability, market volatility, social welfare, and UMP, …