UMOKWAI Supervision Meta-Router — Selective-loading system for the validation of LLM-generated technical draftsThis work introduces the Supervision Meta-Router, a modular selective-loading operational system designed to review the responses produced by the UMOKWAI Ontological Router. The Meta-Router rests on two non-ne...
Marco Falsetti· Zenodo (CERN European Organi...· 0 citations
Consumers increasingly ask conversational large language models (LLMs) which product or company to choose, yet little is documented about how stable those recommendations are under repetition. We conducted an exploratory study of run-to-run consistency for two widely used web-search-enabled assistants, OpenAI's ChatGPT...
Pressfront Research· Zenodo (CERN European Organi...· 0 citations
Consumers increasingly ask conversational large language models (LLMs) which product or company to choose, yet little is documented about how stable those recommendations are under repetition. We conducted an exploratory study of run-to-run consistency for two widely used web-search-enabled assistants, OpenAI's ChatGPT...
Pressfront Research· Zenodo (CERN European Organi...· 0 citations
Version 2 replaces the note-length version 1 with the full manuscript text. Whether large language models have emotions is usually argued on the wrong ground, either by appeal to conscious feeling or by pointing at emotion-like internal representations. A functional analysis is more productive. Goldenberg and Gross (20...
Jeroen Terpstra· Zenodo (CERN European Organi...· 0 citations
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CARE-MoE is proposed, an efficient MoE LLM inference framework comprising two core components that balances expert placement by jointly modeling co-activation correlation and hot–cold drift, preventing overload from correlated experts and enabling low-cost adaptive rebalancing.
Zhen-Yu Wang, Wei Li, Ao Ren et al.· Proceedings of the Internati...· 0 citations
MIGServe treats the physical layout of MIG instances as a first-class scheduling dimension through three techniques: buddy-aware partition placement, which preserves large contiguous free blocks by allocating next to existing occupied buddies; proactive pair-matching migration, which consolidates fragmented half-full b...
Jian-Wen Chen, Yun-Kai Liang, Bin Gao et al.· Proceedings of the Internati...· 0 citations
A Multi-State Semantic Cache (MSSC) framework that dynamically maps knowledge chunks into three mutually exclusive states: zero cache, index cache, and full cache is proposed that reduces average service latency by over 40% in dynamic scenarios and suppresses backhaul reconfiguration traffic by up to 38% compared to co...
Kang Liu, Guang-Ping Xu, Ya-Ru Fu et al.· Proceedings of the Internati...· 0 citations
WAQ-LLM is proposed, a performance optimization framework to find the optimal deployment configuration for multi-instance LLM serving that can provide adaptive and hybrid configurations to handle diverse workloads, surpassing static deployments limited to a single instance type.
Jia-Xin Lai, Yi-Zhou Luo, Qiang Wang· Proceedings of the Internati...· 0 citations
General Matrix Multiplication (GEMM) is the cornerstone of high-performance computing and deep learning. Its efficiency significantly influences the performance of applications ranging from large language models to scientific simulations. Intel Advanced Matrix Extensions (AMX) significantly boost matrix operations thro...
Kang-Kang Chen, Hua-You Su, Menghan Jia et al.· Proceedings of the Internati...· 0 citations
Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine h...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine h...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Artificial Intelligence (AI) is rapidly transforming pharmaceutical research and drug development. The
traditional process of discovering and developing new medicines is time-consuming, expensive and associated with a high
rate of failure. AI, including machine learning, deep learning, natural language processing and g...
Rajashree Somnath Chorgade, Srushti Dipak Nevase, Shubham Hanumant Dhavale et al.· International Journal of Inn...· 0 citations
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.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
