Saved in:
| Main Authors: | Netík, Jan, Martinková, Patrícia |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.16991 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks
by: Zhang, Tianyi, et al.
Published: (2024)
by: Zhang, Tianyi, et al.
Published: (2024)
Enhancing Psychometric Analysis with Interactive SIA Modules
by: Martinková, Patrícia, et al.
Published: (2024)
by: Martinková, Patrícia, et al.
Published: (2024)
How does fine-tuning improve sensorimotor representations in large language models?
by: Wu, Minghua, et al.
Published: (2026)
by: Wu, Minghua, et al.
Published: (2026)
Reinforcement learning fine-tuning of language model for instruction following and math reasoning
by: Han, Yifu, et al.
Published: (2025)
by: Han, Yifu, et al.
Published: (2025)
A self-evolving multi-role collaborative framework with fine-grained difficulty guidance for innovative mathematical problem generation
by: Sun, Yifei, et al.
Published: (2026)
by: Sun, Yifei, et al.
Published: (2026)
Neural network embeddings recover value dimensions from psychometric survey items on par with human data
by: Pellert, Max, et al.
Published: (2025)
by: Pellert, Max, et al.
Published: (2025)
Just-in-time and distributed task representations in language models
by: Li, Yuxuan, et al.
Published: (2025)
by: Li, Yuxuan, et al.
Published: (2025)
Stage-wise Fine-tuning for Graph-to-Text Generation
by: Wang, Qingyun, et al.
Published: (2021)
by: Wang, Qingyun, et al.
Published: (2021)
Rethinking harmless refusals when fine-tuning foundation models
by: Pop, Florin, et al.
Published: (2024)
by: Pop, Florin, et al.
Published: (2024)
Minor SFT loss for LLM fine-tune to increase performance and reduce model deviation
by: Xie, Shiming, et al.
Published: (2024)
by: Xie, Shiming, et al.
Published: (2024)
Efficient Layer-wise LLM Fine-tuning for Revision Intention Prediction
by: Liu, Zhexiong, et al.
Published: (2025)
by: Liu, Zhexiong, et al.
Published: (2025)
Retention analysis of edited knowledge after fine-tuning
by: Wen, Fufang, et al.
Published: (2025)
by: Wen, Fufang, et al.
Published: (2025)
Evolution of meta's llama models and parameter-efficient fine-tuning of large language models: a survey
by: Abdullah, Abdulhady Abas, et al.
Published: (2025)
by: Abdullah, Abdulhady Abas, et al.
Published: (2025)
Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
by: Wang, Yibo, et al.
Published: (2025)
by: Wang, Yibo, et al.
Published: (2025)
Metaphor identification using large language models: A comparison of RAG, prompt engineering, and fine-tuning
by: Fuoli, Matteo, et al.
Published: (2025)
by: Fuoli, Matteo, et al.
Published: (2025)
DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension
by: Lin, Runfeng, et al.
Published: (2024)
by: Lin, Runfeng, et al.
Published: (2024)
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings
by: Alqahtani, Sawsan, et al.
Published: (2021)
by: Alqahtani, Sawsan, et al.
Published: (2021)
Impact of enriched meaning representations for language generation in dialogue tasks: A comprehensive exploration of the relevance of tasks, corpora and metrics
by: Vázquez, Alain, et al.
Published: (2026)
by: Vázquez, Alain, et al.
Published: (2026)
RandLoRA: Full-rank parameter-efficient fine-tuning of large models
by: Albert, Paul, et al.
Published: (2025)
by: Albert, Paul, et al.
Published: (2025)
The impact of fine tuning in LLaMA on hallucinations for named entity extraction in legal documentation
by: Vargas, Francisco, et al.
Published: (2025)
by: Vargas, Francisco, et al.
Published: (2025)
New iterative algorithms for estimation of item functioning
by: Hladká, Adéla, et al.
Published: (2023)
by: Hladká, Adéla, et al.
Published: (2023)
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
by: Liu, Qidong, et al.
Published: (2023)
by: Liu, Qidong, et al.
Published: (2023)
Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning
by: Zhao, Hang, et al.
Published: (2024)
by: Zhao, Hang, et al.
Published: (2024)
Compact Prompting in Instruction-tuned LLMs for Joint Argumentative Component Detection
by: Elguendouze, Sofiane, et al.
Published: (2026)
by: Elguendouze, Sofiane, et al.
Published: (2026)
ARC-Encoder: learning compressed text representations for large language models
by: Pilchen, Hippolyte, et al.
Published: (2025)
by: Pilchen, Hippolyte, et al.
Published: (2025)
Leveraging large language models for efficient representation learning for entity resolution
by: Xu, Xiaowei, et al.
Published: (2024)
by: Xu, Xiaowei, et al.
Published: (2024)
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
by: Balabanov, Oleksandr, et al.
Published: (2024)
by: Balabanov, Oleksandr, et al.
Published: (2024)
EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation
by: Liu, Shih-Yang, et al.
Published: (2024)
by: Liu, Shih-Yang, et al.
Published: (2024)
The creative psychometric item generator: a framework for item generation and validation using large language models
by: Laverghetta Jr., Antonio, et al.
Published: (2024)
by: Laverghetta Jr., Antonio, et al.
Published: (2024)
Improving embedding with contrastive fine-tuning on small datasets with expert-augmented scores
by: Lu, Jun, et al.
Published: (2024)
by: Lu, Jun, et al.
Published: (2024)
Training-free LLM Merging for Multi-task Learning
by: Fu, Zichuan, et al.
Published: (2025)
by: Fu, Zichuan, et al.
Published: (2025)
Neuradicon: operational representation learning of neuroimaging reports
by: Watkins, Henry, et al.
Published: (2021)
by: Watkins, Henry, et al.
Published: (2021)
What explains the success of cross-modal fine-tuning with ORCA?
by: García-de-Herreros, Paloma, et al.
Published: (2024)
by: García-de-Herreros, Paloma, et al.
Published: (2024)
XL3M: A Training-free Framework for LLM Length Extension Based on Segment-wise Inference
by: Wang, Shengnan, et al.
Published: (2024)
by: Wang, Shengnan, et al.
Published: (2024)
A novel nonparametric framework for DIF detection using kernel-smoothed item response curves
by: Hladká, Adéla, et al.
Published: (2025)
by: Hladká, Adéla, et al.
Published: (2025)
Code-enabled language models can outperform reasoning models on diverse tasks
by: Zhang, Cedegao E., et al.
Published: (2025)
by: Zhang, Cedegao E., et al.
Published: (2025)
GRADE: Generating multi-hop QA and fine-gRAined Difficulty matrix for RAG Evaluation
by: Lee, Jeongsoo, et al.
Published: (2025)
by: Lee, Jeongsoo, et al.
Published: (2025)
OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
by: Maharjan, Jenish, et al.
Published: (2024)
by: Maharjan, Jenish, et al.
Published: (2024)
Does quantization affect models' performance on long-context tasks?
by: Mekala, Anmol, et al.
Published: (2025)
by: Mekala, Anmol, et al.
Published: (2025)
Auxiliary task demands mask the capabilities of smaller language models
by: Hu, Jennifer, et al.
Published: (2024)
by: Hu, Jennifer, et al.
Published: (2024)
Similar Items
-
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks
by: Zhang, Tianyi, et al.
Published: (2024) -
Enhancing Psychometric Analysis with Interactive SIA Modules
by: Martinková, Patrícia, et al.
Published: (2024) -
How does fine-tuning improve sensorimotor representations in large language models?
by: Wu, Minghua, et al.
Published: (2026) -
Reinforcement learning fine-tuning of language model for instruction following and math reasoning
by: Han, Yifu, et al.
Published: (2025) -
A self-evolving multi-role collaborative framework with fine-grained difficulty guidance for innovative mathematical problem generation
by: Sun, Yifei, et al.
Published: (2026)