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large language models

2,652 papers

#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
#artificial intelligence Open access Sep 2026

Agentic AI and the Dissolution of Managerial Authority: Organisational Sensegiving in Autonomous Decision-Making Systems

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 · 0 citations
#artificial intelligence Open access Sep 2026

Agentic AI and the Dissolution of Managerial Authority: Organisational Sensegiving in Autonomous Decision-Making Systems

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

A Review On: Artificial Intelligence in Preclinical and Clinical Trials

Challenges such as data quality, algorithmic bias, lack of transparency, privacy, cybersecurity, regulatory uncertainty and the need for human oversight remain important.

Rajashree Somnath Chorgade, Srushti Dipak Nevase, Shubham Hanumant Dhavale et al. · 0 citations
#large language models Open access Sep 2026

Open White Paper on Geophysical Computing: Ubiquitous Decentralized Computing Bus and Multi-Track Decoupled Dynamo Architecture (Project Amanda, Version 2.2)

This white paper presents Project Amanda (Version 2.2), a novel decentralized neuromorphic hardware architecture designed to break through the constraints of conventional deterministic computing paradigms. Conventional neuromorphic computing relies excessively on cost-prohibitive pre-hardware perceptual training and cu...

tao Luo · 0 citations

Portfolio Optimization with Covariance from News-Derived Information Networks

Intercompany relationships change over time, but they are difficult to incorporate into traditional return-based covariance estimates. This article proposes a practical three-step framework for transforming financial news into a covariance input for portfolio optimization. First, a large language model extracts dynamic...

Zihan Chen, Andrew Chin, Yuyu Fan · 0 citations
#large language models Open access Sep 2026

Understanding On-Screen Text Do AI Tools Struggle with Hawaiian Chyrons?

Metadata describing legacy television broadcasts in archival collections is often incomplete or inconsistent, but additional information about the program content and contributors can be recovered from on-screen text. Leveraging this information requires text extraction, and the accuracy of this process is crucial for...

Kelley Lynch, Owen King, Yangyang Chen et al. · 0 citations

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