:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Aqib, Mohammad, Hamza, Mohd, Chui, Ying Hei, Mei, Qipei
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	https://arxiv.org/abs/2511.18306
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes
por: Aqib, Mohammad, et al.
Publicado: (2025)

Automating Structural Engineering Workflows with Large Language Model Agents
por: Liang, Haoran, et al.
Publicado: (2025)

Fine-Tuned Language Models for Domain-Specific Summarization and Tagging
por: Wang, Jun, et al.
Publicado: (2025)

Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
por: Susnjak, Teo, et al.
Publicado: (2024)

Fine-Tuning Small Language Models for Domain-Specific AI: An Edge AI Perspective
por: Aralimatti, Rakshit, et al.
Publicado: (2025)

Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law
por: Bashir, Ali Hamza, et al.
Publicado: (2026)

Supervised Fine Tuning of Large Language Models for Domain Specific Knowledge Graph Construction:A Case Study on Hunan's Historical Celebrities
por: Hao, Junjie, et al.
Publicado: (2025)

Designing Domain-Specific Large Language Models: The Critical Role of Fine-Tuning in Public Opinion Simulation
por: Lin, Haocheng
Publicado: (2024)

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
por: Gao, Yan, et al.
Publicado: (2025)

AnyTaskTune: Advanced Domain-Specific Solutions through Task-Fine-Tuning
por: Cui, Jiaxi, et al.
Publicado: (2024)

Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse
por: Sun, Jianwei, et al.
Publicado: (2024)

Efficient Continual Pre-training for Building Domain Specific Large Language Models
por: Xie, Yong, et al.
Publicado: (2023)

Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey
por: Song, Zirui, et al.
Publicado: (2025)

Small Wins Big: Comparing Large Language Models and Domain Fine-Tuned Models for Sarcasm Detection in Code-Mixed Hinglish Text
por: Majumder, Bitan, et al.
Publicado: (2026)

Building Domain-Specific Small Language Models via Guided Data Generation
por: Kumar, Aman, et al.
Publicado: (2025)

Lightweight Clinical Decision Support System using QLoRA-Fine-Tuned LLMs and Retrieval-Augmented Generation
por: Ansari, Mohammad Shoaib, et al.
Publicado: (2025)

Zero-Shot Cross-Domain Code Search without Fine-Tuning
por: Liang, Keyu, et al.
Publicado: (2025)

Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming
por: Alt, Benjamin, et al.
Publicado: (2023)

SFT Doesn't Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs
por: Lin, Jiacheng, et al.
Publicado: (2025)

Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models
por: Ding, Yi, et al.
Publicado: (2025)

Healing Powers of BERT: How Task-Specific Fine-Tuning Recovers Corrupted Language Models
por: Han, Shijie, et al.
Publicado: (2024)

Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models
por: Liu, Fengchen, et al.
Publicado: (2024)

Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
por: Prottasha, Nusrat Jahan, et al.
Publicado: (2024)

ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages
por: Kammakomati, Mehant, et al.
Publicado: (2024)

DS$^2$-Instruct: Domain-Specific Data Synthesis for Large Language Models Instruction Tuning
por: Xu, Ruiyao, et al.
Publicado: (2026)

PlanGPT-VL: Enhancing Urban Planning with Domain-Specific Vision-Language Models
por: Zhu, He, et al.
Publicado: (2025)

Using Vision Language Models for Safety Hazard Identification in Construction
por: Adil, Muhammad, et al.
Publicado: (2025)

Hyperbolic Fine-Tuning for Large Language Models
por: Yang, Menglin, et al.
Publicado: (2024)

Towards Domain Specification of Embedding Models in Medicine
por: Khodadad, Mohammad, et al.
Publicado: (2025)

Fine-Tuning Pre-Trained Code Models for AI-Generated Code Detection
por: Ispas, Jany-Gabriel, et al.
Publicado: (2026)

Fine Tuning Named Entity Extraction Models for the Fantasy Domain
por: Sivaganeshan, Aravinth, et al.
Publicado: (2024)

Learning Domain Knowledge in Multimodal Large Language Models through Reinforcement Fine-Tuning
por: Cao, Qinglong, et al.
Publicado: (2026)

Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation
por: Thillainathan, Sarubi, et al.
Publicado: (2025)

Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise
por: Yang, Qimin, et al.
Publicado: (2024)

Parameter-Efficient Fine-Tuning for Low-Resource Languages: A Comparative Study of LLMs for Bengali Hate Speech Detection
por: Islam, Akif, et al.
Publicado: (2025)

Code Comparison Tuning for Code Large Language Models
por: Jiang, Yufan, et al.
Publicado: (2024)

Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domain
por: Ruiz, Daniel C., et al.
Publicado: (2024)

Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning
por: Cambrin, Daniele Rege, et al.
Publicado: (2024)

Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
por: Zhang, Xinlu, et al.
Publicado: (2024)

Consensus-Aligned Neuron Efficient Fine-Tuning Large Language Models for Multi-Domain Machine Translation
por: Jiang, Shuting, et al.
Publicado: (2026)