Invasive aquatic species are a problem for Europe: they are drivers of biodiversity loss and cost millions of euros each year. Europe has started a project to manage these invasive aquatic species, which begins with compiling what is already known about a species. That first step is slow. The information is scattered a...
Abstract Integrated Sensing and Communication (ISAC) designs often overlook power amplifier (PA) nonlinearity and user mobility. To address these gaps, we study an ISAC system model incorporating memoryless PA nonlinearity and agent mobility, where agents proactively move toward the base station to improve channels at...
Yan Dai, Jianxin Dai, Zhaohui Yang et al.· Tsinghua Science & Technolog...· 0 citations
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
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
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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
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