Domain Adaptation and Reasoning Frameworks in Language Models: A Controlled Experiment with Historical Cosmology
Fuente:
arXiv
Guardado en:
| Autor principal: | De Bernardis, Francesco |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models
por: Liu, Xiang, et al.
Publicado: (2025)
por: Liu, Xiang, et al.
Publicado: (2025)
Domain Adaptation of LLMs for Process Data
por: Oyamada, Rafael Seidi, et al.
Publicado: (2025)
por: Oyamada, Rafael Seidi, et al.
Publicado: (2025)
Enhancing Financial Domain Adaptation of Language Models via Model Augmentation
por: Tanabe, Kota, et al.
Publicado: (2024)
por: Tanabe, Kota, et al.
Publicado: (2024)
Scalable Multi-Domain Adaptation of Language Models using Modular Experts
por: Schafhalter, Peter, et al.
Publicado: (2024)
por: Schafhalter, Peter, et al.
Publicado: (2024)
Domain-Specific Data Generation Framework for RAG Adaptation
por: Tian, Chris Xing, et al.
Publicado: (2025)
por: Tian, Chris Xing, et al.
Publicado: (2025)
Dissecting Clinical Reasoning in Language Models: A Comparative Study of Prompts and Model Adaptation Strategies
por: Jullien, Mael, et al.
Publicado: (2025)
por: Jullien, Mael, et al.
Publicado: (2025)
A Few-Shot Approach for Relation Extraction Domain Adaptation using Large Language Models
por: Zavarella, Vanni, et al.
Publicado: (2024)
por: Zavarella, Vanni, et al.
Publicado: (2024)
Lightweight Domain Adaptation of a Large Language Model for Legal Assistance in the Indian Context
por: Gupta, Jatin, et al.
Publicado: (2025)
por: Gupta, Jatin, et al.
Publicado: (2025)
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
por: Wang, Jiapu, et al.
Publicado: (2024)
por: Wang, Jiapu, et al.
Publicado: (2024)
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals
por: Cadeddu, Andrea, et al.
Publicado: (2025)
por: Cadeddu, Andrea, et al.
Publicado: (2025)
Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain
por: Luo, Yuanchang, et al.
Publicado: (2024)
por: Luo, Yuanchang, et al.
Publicado: (2024)
Penrose Tiled Low-Rank Compression and Section-Wise Q&A Fine-Tuning: A General Framework for Domain-Specific Large Language Model Adaptation
por: Kuo, Chuan-Wei, et al.
Publicado: (2025)
por: Kuo, Chuan-Wei, et al.
Publicado: (2025)
Untangling Input Language from Reasoning Language: A Diagnostic Framework for Cross-Lingual Moral Alignment in LLMs
por: Li, Nan, et al.
Publicado: (2026)
por: Li, Nan, et al.
Publicado: (2026)
Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law
por: Bashir, Ali Hamza, et al.
Publicado: (2026)
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)
por: Hao, Junjie, et al.
Publicado: (2025)
Reasoning Up the Instruction Ladder for Controllable Language Models
por: Zheng, Zishuo, et al.
Publicado: (2025)
por: Zheng, Zishuo, et al.
Publicado: (2025)
TIBSTC-CoT: A Multi-Domain Instruction Dataset for Chain-of-Thought Reasoning in Language Models
por: Gao, Fan, et al.
Publicado: (2025)
por: Gao, Fan, et al.
Publicado: (2025)
What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models
por: Yun, Tian, et al.
Publicado: (2025)
por: Yun, Tian, et al.
Publicado: (2025)
Annotation-Efficient Vision-Language Model Adaptation to the Polish Language Using the LLaVA Framework
por: Statkiewicz, Grzegorz, et al.
Publicado: (2026)
por: Statkiewicz, Grzegorz, et al.
Publicado: (2026)
ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study
por: Modesitt, Eric, et al.
Publicado: (2024)
por: Modesitt, Eric, et al.
Publicado: (2024)
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning
por: Shi, Wenqi, et al.
Publicado: (2024)
por: Shi, Wenqi, et al.
Publicado: (2024)
Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models
por: Tan, Xingwei, et al.
Publicado: (2026)
por: Tan, Xingwei, et al.
Publicado: (2026)
Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit's Showerthoughts
por: Buz, Tolga, et al.
Publicado: (2024)
por: Buz, Tolga, et al.
Publicado: (2024)
Bridging Language Gaps: Enhancing Few-Shot Language Adaptation
por: Borchert, Philipp, et al.
Publicado: (2025)
por: Borchert, Philipp, et al.
Publicado: (2025)
Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
por: Kwon, Taeyoon, et al.
Publicado: (2023)
por: Kwon, Taeyoon, et al.
Publicado: (2023)
Combining Constraint Programming Reasoning with Large Language Model Predictions
por: Régin, Florian, et al.
Publicado: (2024)
por: Régin, Florian, et al.
Publicado: (2024)
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
por: Lu, Yuheng, et al.
Publicado: (2024)
por: Lu, Yuheng, et al.
Publicado: (2024)
Cross-Lingual Transfer and Parameter-Efficient Adaptation in the Turkic Language Family: A Theoretical Framework for Low-Resource Language Models
por: Ibrahimzade, O., et al.
Publicado: (2026)
por: Ibrahimzade, O., et al.
Publicado: (2026)
LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation
por: Haffoudhi, Samy, et al.
Publicado: (2026)
por: Haffoudhi, Samy, et al.
Publicado: (2026)
An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models
por: Wang, Xi, et al.
Publicado: (2024)
por: Wang, Xi, et al.
Publicado: (2024)
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning
por: Piriyakulkij, Wasu Top, et al.
Publicado: (2024)
por: Piriyakulkij, Wasu Top, et al.
Publicado: (2024)
STEMVerse: A Dual-Axis Diagnostic Framework for STEM Reasoning in Large Language Models
por: Li, Xuzhao, et al.
Publicado: (2026)
por: Li, Xuzhao, et al.
Publicado: (2026)
ChemATP: A Training-Free Chemical Reasoning Framework for Large Language Models
por: Zhang, Mingxu, et al.
Publicado: (2025)
por: Zhang, Mingxu, et al.
Publicado: (2025)
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph
por: Ao, Tu, et al.
Publicado: (2025)
por: Ao, Tu, et al.
Publicado: (2025)
Domain Adaptation of Large Language Models for Polymer-Composite Additive Manufacturing Using Retrieval-Augmented Generation and Fine-Tuning
por: Sagor, Saiful Islam, et al.
Publicado: (2026)
por: Sagor, Saiful Islam, et al.
Publicado: (2026)
SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks
por: Wan, Wentao, et al.
Publicado: (2025)
por: Wan, Wentao, et al.
Publicado: (2025)
On Path to Multimodal Historical Reasoning: HistBench and HistAgent
por: Qiu, Jiahao, et al.
Publicado: (2025)
por: Qiu, Jiahao, et al.
Publicado: (2025)
SA-MDKIF: A Scalable and Adaptable Medical Domain Knowledge Injection Framework for Large Language Models
por: Xu, Tianhan, et al.
Publicado: (2024)
por: Xu, Tianhan, et al.
Publicado: (2024)
CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning
por: Pan, Jianfeng, et al.
Publicado: (2025)
por: Pan, Jianfeng, et al.
Publicado: (2025)
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning
por: Zhou, Jianpeng, et al.
Publicado: (2023)
por: Zhou, Jianpeng, et al.
Publicado: (2023)
Ejemplares similares
-
SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models
por: Liu, Xiang, et al.
Publicado: (2025) -
Domain Adaptation of LLMs for Process Data
por: Oyamada, Rafael Seidi, et al.
Publicado: (2025) -
Enhancing Financial Domain Adaptation of Language Models via Model Augmentation
por: Tanabe, Kota, et al.
Publicado: (2024) -
Scalable Multi-Domain Adaptation of Language Models using Modular Experts
por: Schafhalter, Peter, et al.
Publicado: (2024) -
Domain-Specific Data Generation Framework for RAG Adaptation
por: Tian, Chris Xing, et al.
Publicado: (2025)