· ai
[Paper] Toward Global Large Language Models in Medicine
Despite continuous advances in medical technology, the global distribution of health care resources remains uneven. The development of large language models (LL...
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- · ai
[Paper] Confidence Estimation for LLMs in Multi-turn Interactions
While confidence estimation is a promising direction for mitigating hallucinations in Large Language Models (LLMs), current research dominantly focuses on singl...
- · devops
[Paper] SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks
SplitFed Learning (SFL) combines federated learning and split learning to enable collaborative training across distributed edge devices; however, it faces signi...
- · software
[Paper] The State of Open Science in Software Engineering Research: A Case Study of ICSE Artifacts
Replication packages are crucial for enabling transparency, validation, and reuse in software engineering (SE) research. While artifact sharing is now a standar...
- · devops
[Paper] Cutting Quantum Circuits Beyond Qubits
We extend quantum circuit cutting to heterogeneous registers comprising mixed-dimensional qudits. By decomposing non-local interactions into tensor products of ...
- · software
[Paper] Integrating Quantum Software Tools with(in) MLIR
Compilers transform code into action. They convert high-level programs into executable hardware instructions - a crucial step in enabling reliable and scalable ...
- · ai
[Paper] Perish or Flourish? A Holistic Evaluation of Large Language Models for Code Generation in Functional Programming
Functional programming provides strong foundations for developing reliable and secure software systems, yet its adoption remains not widespread due to the steep...
- · devops
[Paper] Bringing computation to the data: A MOEA-driven approach for optimising data processing in the context of the SKA and SRCNet
The Square Kilometre Array (SKA) will generate unprecedented data volumes, making efficient data processing a critical challenge. Within this context, the SKA R...
- · ai
[Paper] SerpentFlow: Generative Unpaired Domain Alignment via Shared-Structure Decomposition
Domain alignment refers broadly to learning correspondences between data distributions from distinct domains. In this work, we focus on a setting where domains ...
- · ai
[Paper] Toward Thermodynamic Reservoir Computing: Exploring SHA-256 ASICs as Potential Physical Substrates
We propose a theoretical framework--Holographic Reservoir Computing (HRC)--which hypothesizes that the thermodynamic noise and timing dynamics in voltage-stress...
- · ai
[Paper] Multi-strategy Improved Northern Goshawk Optimization for WSN Coverage Enhancement
To enhance the coverage rate of Wireless Sensor Networks (WSNs), this paper proposes an advanced optimization strategy based on a multi-strategy integrated Nort...
- · ai
[Paper] Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack
Federated learning has drawn widespread interest from researchers, yet the data heterogeneity across edge clients remains a key challenge, often degrading model...