Buchumschlag

Domain Adaptation and Reasoning Frameworks in Language Models: A Controlled Experiment with Historical Cosmology

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	De Bernardis, Francesco
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Computation and Language Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models
von: Liu, Xiang, et al.
Veröffentlicht: (2025)

Domain Adaptation of LLMs for Process Data
von: Oyamada, Rafael Seidi, et al.
Veröffentlicht: (2025)

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation
von: Tanabe, Kota, et al.
Veröffentlicht: (2024)

Scalable Multi-Domain Adaptation of Language Models using Modular Experts
von: Schafhalter, Peter, et al.
Veröffentlicht: (2024)

Domain-Specific Data Generation Framework for RAG Adaptation
von: Tian, Chris Xing, et al.
Veröffentlicht: (2025)

Dissecting Clinical Reasoning in Language Models: A Comparative Study of Prompts and Model Adaptation Strategies
von: Jullien, Mael, et al.
Veröffentlicht: (2025)

A Few-Shot Approach for Relation Extraction Domain Adaptation using Large Language Models
von: Zavarella, Vanni, et al.
Veröffentlicht: (2024)

Lightweight Domain Adaptation of a Large Language Model for Legal Assistance in the Indian Context
von: Gupta, Jatin, et al.
Veröffentlicht: (2025)

Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
von: Wang, Jiapu, et al.
Veröffentlicht: (2024)

A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals
von: Cadeddu, Andrea, et al.
Veröffentlicht: (2025)

Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain
von: Luo, Yuanchang, et al.
Veröffentlicht: (2024)

Penrose Tiled Low-Rank Compression and Section-Wise Q&A Fine-Tuning: A General Framework for Domain-Specific Large Language Model Adaptation
von: Kuo, Chuan-Wei, et al.
Veröffentlicht: (2025)

Untangling Input Language from Reasoning Language: A Diagnostic Framework for Cross-Lingual Moral Alignment in LLMs
von: Li, Nan, et al.
Veröffentlicht: (2026)

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

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

Reasoning Up the Instruction Ladder for Controllable Language Models
von: Zheng, Zishuo, et al.
Veröffentlicht: (2025)

TIBSTC-CoT: A Multi-Domain Instruction Dataset for Chain-of-Thought Reasoning in Language Models
von: Gao, Fan, et al.
Veröffentlicht: (2025)

What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models
von: Yun, Tian, et al.
Veröffentlicht: (2025)

Annotation-Efficient Vision-Language Model Adaptation to the Polish Language Using the LLaVA Framework
von: Statkiewicz, Grzegorz, et al.
Veröffentlicht: (2026)

ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study
von: Modesitt, Eric, et al.
Veröffentlicht: (2024)

MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning
von: Shi, Wenqi, et al.
Veröffentlicht: (2024)

Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models
von: Tan, Xingwei, et al.
Veröffentlicht: (2026)

Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit's Showerthoughts
von: Buz, Tolga, et al.
Veröffentlicht: (2024)

Bridging Language Gaps: Enhancing Few-Shot Language Adaptation
von: Borchert, Philipp, et al.
Veröffentlicht: (2025)

Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
von: Kwon, Taeyoon, et al.
Veröffentlicht: (2023)

Combining Constraint Programming Reasoning with Large Language Model Predictions
von: Régin, Florian, et al.
Veröffentlicht: (2024)

Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
von: Lu, Yuheng, et al.
Veröffentlicht: (2024)

Cross-Lingual Transfer and Parameter-Efficient Adaptation in the Turkic Language Family: A Theoretical Framework for Low-Resource Language Models
von: Ibrahimzade, O., et al.
Veröffentlicht: (2026)

LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation
von: Haffoudhi, Samy, et al.
Veröffentlicht: (2026)

An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models
von: Wang, Xi, et al.
Veröffentlicht: (2024)

Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning
von: Piriyakulkij, Wasu Top, et al.
Veröffentlicht: (2024)

STEMVerse: A Dual-Axis Diagnostic Framework for STEM Reasoning in Large Language Models
von: Li, Xuzhao, et al.
Veröffentlicht: (2026)

ChemATP: A Training-Free Chemical Reasoning Framework for Large Language Models
von: Zhang, Mingxu, et al.
Veröffentlicht: (2025)

LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph
von: Ao, Tu, et al.
Veröffentlicht: (2025)

Domain Adaptation of Large Language Models for Polymer-Composite Additive Manufacturing Using Retrieval-Augmented Generation and Fine-Tuning
von: Sagor, Saiful Islam, et al.
Veröffentlicht: (2026)

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks
von: Wan, Wentao, et al.
Veröffentlicht: (2025)

On Path to Multimodal Historical Reasoning: HistBench and HistAgent
von: Qiu, Jiahao, et al.
Veröffentlicht: (2025)

SA-MDKIF: A Scalable and Adaptable Medical Domain Knowledge Injection Framework for Large Language Models
von: Xu, Tianhan, et al.
Veröffentlicht: (2024)

CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning
von: Pan, Jianfeng, et al.
Veröffentlicht: (2025)

Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning
von: Zhou, Jianpeng, et al.
Veröffentlicht: (2023)