Aug 2026· International Journal of Data Science and Analysis· Vol 22· 0 citations· 41 references
TL;DR
Experimental evaluation on 300 realistic pattern mining tasks demonstrates consistent improvements in algorithm configuration accuracy, parameter compliance, and dataset specification correctness across zero-shot, one-shot, and few-shot settings, highlighting the effectiveness of inference-time domain grounding for enabling more reliable and reproducible pattern mining workflows without requiring model retraining.
ExReg, a human-in-the-loop workflow that automatically generates discriminative examples using SMT-based constraint solving, highlights how automated example generation guided by formal methods and mutations can improve the reliability, efficiency, and trustworthiness of LLM-assisted regex pattern generation.
Hadar Muchtar, Ilia Shevrin, S. Maoz· ACM Transactions on Software...· 0 citations
A Neuro-Symbolic architecture that integrates a Logical Knowledge Graph (LKG) with dynamic solver routing, and introduces an ontology-based LKG that treats logical rules and constraints as first-class topological nodes, enabling explicit modeling of dependencies extracted from text.
Hai-Zhao Fan, Yu-Chi Xiong, Jize Wang et al.· 0 citations
Overall, AutoCoC contributes a reproducible and scalable alternative to expert-authored concept hierarchies by automatically deriving domain-specific prompt structures from documentation, making concept-based prompting more practical for structured knowledge generation.
Hurile Borjigin, Nishtha N. Vaidya, Thomas A. Runkler et al.· SKILLED-LLMs@FLoC· 0 citations
AssistEM, a framework for efficient LLM adaptation to EM via principled data selection, demonstrates that selective fine-tuning not only accelerates adaptation but also improves training efficiency (requiring fewer GPU hours), enabling open-source LLMs to rival–and in some cases outperform–closed-source models.
John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa et al.· International Journal of Dat...· 1 citation
Large Language Models produce stochastic outputs that undermine reproducibility in knowledge extraction. We present a deterministic post-processing framework with 14 explicit validation predicates that transforms unreliable LLM output into consistent, validated causal triplets. Evaluated on four benchmarks spanning 2,1...
David Tom Foss· 2026 6th International Confe...· 0 citations