Abstract—Programming activities, such as automatic debugging and program repair, are increasingly being supported by Generative Artificial Intelligence (GenAI). However, a rigorous empirical evaluation of the efficacy of various large language models (LLMs) across several debugging phases is necessary. Using a benchmar...
Muhammad Adrevi zaki, Sasmoko Sasmoko, Adele Mailangkay et al.· Zenodo (CERN European Organi...· 0 citations
The development of climate-resilient crops would be greatly accelerated by models able to reason directly over plant genomic sequences and to pinpoint trait-associated regions or loci. Anticipating the impact of DNA base changes (variants) remains challenging, and understanding regulatory mechanisms is still an active...
A. Barozet, V. Cabeli, J. D. du Terrail et al.· bioRxiv· 0 citations
When large language models (LLMs) operate in sequential pipelines, each agent paraphrasing the output of the previous one, the cumulative signal diverges from the original in ways that are poorly understood. We study this semantic drift with a telephone-game protocol: a single text is paraphrased 30 times by the same m...
James H. Smith· Zenodo (CERN European Organi...· 0 citations
A wrong number is worse than no answer. Across factuality-critical domains—audience metrics, scheduling and rights in media; dosages and lab values in healthcare; figures and citations in finance and legal—a confident but fabricated value is more damaging than an honest admission of uncertainty. Yet this is the dominan...
Nicola Cogotti· Zenodo (CERN European Organi...· 0 citations
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Abstract. The rapid expansion of social media has transformed branding strategies among micro, small, and medium enterprises (MSMEs), particularly in the culinary industry. TikTok has emerged as one of the most influential digital communication platforms, enabling businesses to establish authentic interactions with con...
Heri Hendrawan, M. Firmansyah· Proceeding of International...· 0 citations
NGramLang is a small domain-specific language and interpreter designed to make the mechanics of document retrieval explicit and executable. Through ten declarative commands, a user loads text documents, aggregates them into a corpus, and ranks them against a free-text query. The language front end is implemented with J...
Jona Emiri· Zenodo (CERN European Organi...· 0 citations
This study evaluates a current scientific-compute workstation built around a refurbished DellPrecision T7610 with 512 GB ECC system memory and two NVIDIA GPUs with separate roles: anRTX PRO 4500 Blackwell with 32 GB VRAM for scientific compute and a Quadro RTX 8000 with 48GB VRAM for local LLM inference, programming as...
Mateo Mayer· Zenodo (CERN European Organi...· 0 citations
When large language models (LLMs) operate in sequential pipelines, each agent paraphrasing the output of the previous one, the cumulative signal diverges from the original in ways that are poorly understood. We study this semantic drift with a telephone-game protocol: a single text is paraphrased 30 times by the same m...
James H. Smith· Zenodo (CERN European Organi...· 0 citations
This study evaluates a current scientific-compute workstation built around a refurbished DellPrecision T7610 with 512 GB ECC system memory and two NVIDIA GPUs with separate roles: anRTX PRO 4500 Blackwell with 32 GB VRAM for scientific compute and a Quadro RTX 8000 with 48GB VRAM for local LLM inference, programming as...
Mateo Mayer· Zenodo (CERN European Organi...· 0 citations
The findings show a recurring distinction between mechanism-level evidence and the evidence needed to establish patient-level causation or durable clinical benefit, and map how different forms of evidence are distributed and translated across the PTLDS–CLD literature.
Teo Sušnjak, Lorenz Brehme, Kunal Garg et al.· Frontiers in Cellular and In...· 0 citations
It is concluded that QS represents a potential druggable vulnerability in oral biofilms, but future efforts must prioritize high-specificity inhibitors, combination regimens with conventional antibiotics, and rigorous in vivo validation to bridge the translational gap.
Ye-Ping Lu, Yi-Chao Xia, Jie Zhang et al.· Frontiers in Microbiology· 0 citations
Abstract Autonomous AI systems require more than knowledge and task optimization: they must also determine when a goal, value, safety consideration, or human interest creates a conflict that warrants reconsideration of the current evaluative frame. Building on CHORDI (Conflict to Harmonization Operator via Re-Dimension...
Toshiaki Kakii· Zenodo (CERN European Organi...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
