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AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models
Lian Yan, Haotian Wang, Chen Tang, Haifeng Liu, Tianyang Sun, Liangliang Liu, Yi Guan, Jingchi Jiang
https://arxiv.org/abs/2507.21773

AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models
In the agricultural domain, the deployment of large language models (LLMs) is hindered by the lack of training data and evaluation benchmarks. To mitigate this issue, we propose AgriEval, the first comprehensive Chinese agricultural benchmark with three main characteristics: (1) Comprehensive Capability Evaluation. AgriEval covers six major agriculture categories and 29 subcategories within agriculture, addressing four core cognitive scenarios: memorization, understanding, inference, and genera…

The Xeno Sutra: Can Meaning and Value be Ascribed to an AI-Generated "Sacred" Text?
Murray Shanahan, Tara Das, Robert Thurman
https://arxiv.org/abs/2507.20525 https://…

The Xeno Sutra: Can Meaning and Value be Ascribed to an AI-Generated "Sacred" Text?
This paper presents a case study in the use of a large language model to generate a fictional Buddhist "sutr"', and offers a detailed analysis of the resulting text from a philosophical and literary point of view. The conceptual subtlety, rich imagery, and density of allusion found in the text make it hard to causally dismiss on account of its mechanistic origin. This raises questions about how we, as a society, should come to terms with the potentially unsettling possibility of a technology th…

Die Agentur für Arbeit will E-Mail Bundesweit abschaffen, statt dessen nur noch per App oder per Post erreichbar sein.
Terminsachen werden damit zur Glückssache bei Laufzeiten bis zu zwei Wochen für Briefe.
Also wieder das Faxgerät ausgraben.
https://www.hl-live.de/text.php?id=173398

Arbeits-Agentur schafft E-Mail ab
Lübeck - St. Jürgen: Videokommunikation, Online-Terminvergabe, Kunden-Apps: Die Bundesagentur für Arbeit (BA) bietet ihren Kundinnen und Kunden zahlreiche Onlin

GATEBLEED: Exploiting On-Core Accelerator Power Gating for High Performance & Stealthy Attacks on AI
Joshua Kalyanapu, Farshad Dizani, Darsh Asher, Azam Ghanbari, Rosario Cammarota, Aydin Aysu, Samira Mirbagher Ajorpaz
https://arxiv.org/abs/2507.17033

GATEBLEED: Exploiting On-Core Accelerator Power Gating for High Performance & Stealthy Attacks on AI
As power consumption from AI training and inference continues to increase, AI accelerators are being integrated directly into the CPU. Intel's Advanced Matrix Extensions (AMX) is one such example, debuting on the 4th generation Intel Xeon Scalable CPU. We discover a timing side and covert channel, GATEBLEED, caused by the aggressive power gating utilized to keep the CPU within operating limits. We show that the GATEBLEED side channel is a threat to AI privacy as many ML models such as transform…

Generalizable Federated Learning using Client Adaptive Focal Modulation
Tajamul Ashraf, Iqra Altaf Gillani
https://arxiv.org/abs/2508.10840 https://arxiv.o…

Generalizable Federated Learning using Client Adaptive Focal Modulation
Federated learning (FL) has proven essential for privacy-preserving, collaborative training across distributed clients. Our prior work, TransFed, introduced a robust transformer-based FL framework that leverages a learn-to-adapt hypernetwork to generate personalized focal modulation layers per client, outperforming traditional methods in non-IID and cross-domain settings. In this extended version, we propose AdaptFED, where we deepen the investigation of focal modulation in generalizable FL by …

Stafford to work out with Rams on Saturday https://www.espn.com/nfl/story/_/id/45980515/matthew-stafford-work-rams-saturday