Tootfinder

ML 6 Moonlander: Autonomer 32-Tonnen-Bulldozer fährt vollelektrisch
Der elektrische ML 6 Moonlander soll herkömmlich betriebene Bulldozer ersetzen und die Umwelt schonen. Das funktioniert auch autonom und ferngesteuert.

IBM Says It's Cracked Quantum Error Correction - Slashdot
https://tech.slashdot.org/story/25/06/13/218205/ibm-says-its-cracked-quantum-error-correction?utm_source=rss1.0mainlinkanon&utm_medium=feed

that's... one way to describe it, royal mail

Exploring Cultural Variations in Moral Judgments with Large Language Models
Hadi Mohammadi, Efthymia Papadopoulou, Yasmeen F. S. S. Meijer, Ayoub Bagheri
https://arxiv.org/abs/2506.12433

Exploring Cultural Variations in Moral Judgments with Large Language Models
Large Language Models (LLMs) have shown strong performance across many tasks, but their ability to capture culturally diverse moral values remains unclear. In this paper, we examine whether LLMs can mirror variations in moral attitudes reported by two major cross-cultural surveys: the World Values Survey and the PEW Research Center's Global Attitudes Survey. We compare smaller, monolingual, and multilingual models (GPT-2, OPT, BLOOMZ, and Qwen) with more recent instruction-tuned models (GPT-4o,…

Wondering why the number of downloaded vanilla #Linux mainline #kernel packages[1] for aarch64 and ppc64le on Fedora 42 already overtook 40 and 41.
🤷
BTW, if anyone wants me to build kernels for s390x as well, please let me know. It's likely not more work for me than enabling a c…

China issues warrants for alleged Taiwanese hackers and bans a business for pro-independence links
https://apnews.com/article/chian-taiwan-hacking-wanted-kuma-f937096e3163470b21597b4ec809d799

China issues warrants for alleged Taiwanese hackers and bans a business for pro-independence links
China has issued warrants Thursday for 20 Taiwanese people it said carried out hacking missions in the Chinese mainland on behalf of Taiwan’s ruling party, while separately banning dealings with a Taiwanese company whose owners mainland authorities called “hardcore Taiwan independence supporters.” Police in the southern manufacturing hub of Guangzhou said they were led by a man named Ning Enwei on behalf of Taiwan’s independence-leaning Democratic Progressive Party but did not identify …

LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge
Sahar Abdelnabi, Aideen Fay, Ahmed Salem, Egor Zverev, Kai-Chieh Liao, Chi-Huang Liu, Chun-Chih Kuo, Jannis Weigend, Danyael Manlangit, Alex Apostolov, Haris Umair, Jo\~ao Donato, Masayuki Kawakita, Athar Mahboob, Tran Huu Bach, Tsun-Han Chiang, Myeongjin Cho, Hajin Choi, Byeonghyeon Kim, Hyeonjin Lee, Benjamin Pannell, Conor McCauley, Mark Russinovich, Andrew Paverd, Giovanni Cherubin

LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge
Indirect Prompt Injection attacks exploit the inherent limitation of Large Language Models (LLMs) to distinguish between instructions and data in their inputs. Despite numerous defense proposals, the systematic evaluation against adaptive adversaries remains limited, even when successful attacks can have wide security and privacy implications, and many real-world LLM-based applications remain vulnerable. We present the results of LLMail-Inject, a public challenge simulating a realistic scenario…

Modeling the Curbside Congestion Effects of Ride-hailing Services for Morning Commute using Bi-modal Two-Tandem Bottlenecks
Yao Deng, Zhi-Chun Li, Sean Qian, Wei Ma
https://arxiv.org/abs/2506.09466

Modeling the Curbside Congestion Effects of Ride-hailing Services for Morning Commute using Bi-modal Two-Tandem Bottlenecks
With the proliferation of ride-hailing services, curb space in urban areas has become highly congested due to the massive passenger pick-ups and drop-offs. Particularly during peak hours, the massive ride-hailing vehicles waiting to drop off obstruct curb spaces and even disrupt the flow of mainline traffic. However, there is a lack of an analytical model that formulates and mitigates the congestion effects of ride-hailing drop-offs in curb spaces. To address this issue, this paper proposes a n…

Improving Code Switching with Supervised Fine Tuning and GELU Adapters
Linh Pham
https://arxiv.org/abs/2506.00291 https://arxiv.org/p…

Improving Code Switching with Supervised Fine Tuning and GELU Adapters
There are few code switching datasets, labeled or unlabled, that exist today. As a result, ASR requires new methods to utilize the vast monolingual data and models that exist. This paper uses OpenAI's open source ASR model, Whisper, which has been pre-trained on 680K hours of audio to perform monolingual ASR tasks. In Part 1, this paper examines how exploiting Whisper's monolingual ability to individually tokenize training text, called "Switching Tokenizers Method", improves transcription accur…

Rethinking Hybrid Retrieval: When Small Embeddings and LLM Re-ranking Beat Bigger Models
Arjun Rao, Hanieh Alipour, Nick Pendar
https://arxiv.org/abs/2506.00049

Rethinking Hybrid Retrieval: When Small Embeddings and LLM Re-ranking Beat Bigger Models
This paper presents a comparison of embedding models in tri-modal hybrid retrieval for Retrieval-Augmented Generation (RAG) systems. We investigate the fusion of dense semantic, sparse lexical, and graph-based embeddings, focusing on the performance of the MiniLM-v6 and BGE-Large architectures. Contrary to conventional assumptions, our results show that the compact MiniLM-v6 outperforms the larger BGE-Large when integrated with LLM-based re-ranking within our tri-modal hybrid framework. Experim…