A knowledge-augmented domain adaptation framework that aligns general-purpose language models with the hierarchical logic of the Chinese Library Classification, and a supervised fine-tuning strategy to resolve domain knowledge drift and deep-category recognition bottlenecks in large language model (LLM)-based Chinese book indexing.
This study presents an end-to-end Intelligent Research Paper Assistant built over 499,999 scholarly abstracts spanning 10 domains and 25 subdomains, integrating six modules: title suggestion, abstract retrieval, methodology generation, dual-branch domain classification, post-hoc explainability, and research-gap ranking...
Hamza Shahbaz· Advances in Artificial Intel...· 0 citations
It is asserted that the present contribution consists of an interpretable domain palette, a constructed benchmark of diverse tabular datasets, and reproducible code and data to enable further research on domain discovery and domain-aware tooling for tabular data.
Adapting LLMs to specialized domains critically depends on high-quality training data, making dataset construction a decisive factor in domain performance. This survey reviews methods for constructing domain-adaptation training datasets through a structured, data-centric analysis. Based on a comparative analysis of rep...
Xin-Yuan Qiu, Ke-Lan Ren, Xiao-Long Cui et al.· Journal of King Saud Univers...· 0 citations
The findings indicate that open-source LLMs can support domain-specific scholarly metadata classification without task-specific fine-tuning, however, their moderate and dimension-dependent performance limits their suitability for fully automated fine-grained metadata enrichment.
M. Haris, Maryam Badar· Frontiers in Research Metric...· 0 citations
Large language models (LLMs) have shown a strong ability to solve a wide range of language tasks. However, they became less practical for subject-specific applications, especially when dealing with low-resource languages. This paper shows an example of adaptation of small language models (SLMs) to solve subject-specifi...
G. Askar, A. Mutaikhan, M. Aitkozhayeva et al.· NEWS of National Academy of...· 0 citations
In the data extraction process for job-person recommendation systems, the data structures present in various forms including structured, semi-structured, and unstructured formats, which leads to significant difficulty and low efficiency in manual knowledge graph construction. Although deep learning techniques have adva...
Yuan-Han Xie, Hao-Chen Gong, Dan-Ni Hu et al.· 2026 6th International Confe...· 0 citations
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