{"total":20,"rows":[{"id":"2305.18703","title":"Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey","created":"2023-05-30","cited_by_count":135,"area":null},{"id":"2304.07221","title":"Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models","created":"2023-04-14","cited_by_count":68,"area":null},{"id":"2504.13822","title":"Parameter-Efficient Continual Fine-Tuning: A Survey","created":"2025-04-18","cited_by_count":11,"area":null},{"id":"2305.01951","title":"Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization","created":"2023-05-03","cited_by_count":9,"area":null},{"id":"2407.10804","title":"Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment","created":"2024-07-15","cited_by_count":7,"area":null},{"id":"2306.16143","title":"Generative User-Experience Research for Developing Domain-specific Natural Language Processing Applications","created":"2023-06-28","cited_by_count":5,"area":null},{"id":"2307.06933","title":"FDAPT: Federated Domain-adaptive Pre-training for Language Models","created":"2023-07-12","cited_by_count":5,"area":null},{"id":"2312.02803","title":"Leveraging Domain Adaptation and Data Augmentation to Improve Qur'anic IR in English and Arabic","created":"2023-12-05","cited_by_count":4,"area":null},{"id":"2503.12314","title":"Empirical Privacy Variance","created":"2025-03-16","cited_by_count":3,"area":null},{"id":"2308.08625","title":"BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity Recognition","created":"2023-08-16","cited_by_count":2,"area":null},{"id":"2401.14228","title":"Assessing the Portability of Parameter Matrices Trained by Parameter-Efficient Finetuning Methods","created":"2024-01-25","cited_by_count":2,"area":null},{"id":"2407.10991","title":"Classification of Geological Borehole Descriptions Using a Domain Adapted Large Language Model","created":"2024-06-24","cited_by_count":2,"area":null},{"id":"2608.28327","title":"Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layers","created":"2026-08-28","cited_by_count":2,"area":null},{"id":"2402.12627","title":"A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective","created":"2024-02-20","cited_by_count":1,"area":null},{"id":"2408.13338","title":"LalaEval: A Holistic Human Evaluation Framework for Domain-Specific Large Language Models","created":"2024-08-23","cited_by_count":1,"area":null},{"id":"2507.22250","title":"Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2509.04982","title":"Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts","created":"2025-09-05","cited_by_count":0,"area":null},{"id":"2512.11502","title":"Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline Extraction","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2603.08062","title":"Adversarial Domain Adaptation Enables Knowledge Transfer Across Heterogeneous RNA-Seq Datasets","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2603.27055","title":"Text Data Integration","created":"2026-03-28","cited_by_count":0,"area":null}],"next_cursor":null}