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large language models

2,583 papers

#large language models Open access Sep 2026

AI-Powered Multi-Agent System for Enhanced Data Collection and Processing in Invasive Species Management

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...

Samuel Vander Velpen · 0 citations
#large language models Open access Sep 2026

Joint beamforming and movement design for agentic AI assisted ISAC system

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. · 0 citations
#large language models Book Open access Sep 2026

UMOKWAI Supervision Meta-Router — Selective-loading system for the validation of LLM-generated technical drafts

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 · 0 citations
#large language models Book Open access Sep 2026

UMOKWAI Supervision Meta-Router — Selective-loading system for the validation of LLM-generated technical drafts

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 · 0 citations
#large language models Open access Sep 2026

Run-to-Run Consistency of Business Recommendations from Web-Search-Enabled Large Language Models: An Exploratory Study

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 · 0 citations
#large language models Open access Sep 2026

Run-to-Run Consistency of Business Recommendations from Web-Search-Enabled Large Language Models: An Exploratory Study

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 · 0 citations
#artificial intelligence Open access Sep 2026

Emotions and a Functional Test for Intelligence in Artificial Systems

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 · 0 citations
#large language models Book Open access Sep 2026

CARE-MoE: Correlation-Aware Expert Placement and Semantic Equivalence Routing for MoE LLM Inference on Edge Devices

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. · 0 citations
#large language models Book Open access Sep 2026

MIGServe: Layout-Aware Multi-Instance GPU Management for Efficient LLM Serving

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. · 0 citations
#large language models Book Open access Sep 2026

Edge-Cloud Collaborative RAG with Multi-State Semantic Caching

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. · 0 citations
#large language models Book Open access Sep 2026

WAQ-LLM: Optimizing Multi-Instance LLM Deployment via Workload-Aware Queueing Model

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 · 0 citations
#large language models Book Open access Sep 2026

TileGEMM: Boosting the Performance of GEMM on AMX-Powered CPUs by Exploiting Data Reuse

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. · 0 citations

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