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
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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
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.· International Journal of Inn...· 0 citations
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· Zenodo (CERN European Organi...· 0 citations
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· The Journal of Financial Dat...· 0 citations
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.· International Association of...· 0 citations