Results 41 to 50 of about 298,955 (157)
Apple Health Data Parser v1.0 (gcoulby/apple-health-data-parser)
, 2021 This is the first public release of the Apple Health Data ...
Graham Coulby
core +1 more source
Using machine-learning to assign function labels to parser output for Spanish [PDF]
, 2006 Data-driven grammatical function tag assignment has been studied for English using the Penn-II Treebank data. In this paper we address the question of whether such methods can be applied successfully to other languages and treebank resources. In addition
Josef Van Genabith +3 more
core +2 more sources
Concurrency and Computation: Practice and Experience, Volume 38, Issue 17, September 2026.ABSTRACT Predicting the runtime and cost of Function‐as‐a‐Service (FaaS) applications remains challenging in multi‐cloud environments due to variations in code complexity, workload characteristics, and provider‐specific behaviors. This paper presents an extended version of the Orama Framework that advances runtime prediction toward a multilingual and ...
Leonardo Rebouças de Carvalho +2 more
wiley +1 more source
An Evaluation Framework for Post‐Trained Bookkeeping Language Models
Intelligent Systems in Accounting, Finance and Management, Volume 33, Issue 3, September 2026.ABSTRACT Supervised fine‐tuning (SFT) enables large language models (LLMs) to acquire domain‐specific knowledge, yet the resulting trade‐off between specialization and general capability preservation remains poorly understood. This paper investigates this trade‐off systematically by fine‐tuning three open‐source LLMs on double‐entry bookkeeping posting
Mario Zupan
wiley +1 more source
Automatic error recovery for LR parsers in theory and practice [PDF]
This thesis argues the need for good syntax error handling schemes in language translation systems such as compilers, and for the automatic incorporation of such schemes into parser-generators.
Dain, Julia Anne
core
margo-notebooks/margo-parser-py: v1.0.2
, 2023 What's Changed <ul> <li>chore: move from setup.py to pyproject.toml by @jakekara in <a href="https://github.com/margo-notebooks/margo-parser-py/pull/5">https://github.com/margo-notebooks/margo-parser-py/pull/5</a></li> < ...
Jake
core +1 more source
Petri Nets for Automatic Wave Digital Code Generation
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, Volume 39, Issue 5, September/October 2026.ABSTRACT Wave Digital (WD) models are a well‐established framework for the emulation of linear and nonlinear circuits. In practice, however, WD models are still implemented largely manually or through limited automated toolchains. Manual programming of WD models is time‐consuming and error‐prone for larger systems with pronounced algebraic dependencies,
Jonas Röhrig, Karlheinz Ochs
wiley +1 more source
Minimum distance error correction [PDF]
A method is presented for incorporating error correction using a minimum distance measure into LR parsers. The method is suitable for use by an automatic parser-generator.
Dain, Julia Anne
core
A Large Language Model‐Based Approach for Fault Detection and Its Application
Safety Science and Technology, Volume 1, Issue 3, September 2026.This work proposes an interpretable fault detection framework utilizing pre‐trained large language models to overcome small sample sizes and label scarcity in industrial datasets. A stepwise tuple‐based validation mitigates hallucinations, ensuring reliable detection.
Yihua Ye, Yin Zhu, Liming Che, Hua Zhou
wiley +1 more source
Systems Engineering, Volume 29, Issue 5, Page 807-822, September 2026.ABSTRACT As Large Language Models (LLMs) are increasingly deployed within the systems engineering domain, optimizing these models to balance performance accuracy and cost for given computational resources becomes essential. One process for finding the right balance is quantization, a process that involves converting model parameters from higher ...
Ryan Bell +2 more
wiley +1 more source