Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Ballout, Mohamad, Krumnack, Ulf, Heidemann, Gunther, Kuehnberger, Kai-Uwe |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights
par: Ballout, Mohamad, et autres
Publié: (2024)
par: Ballout, Mohamad, et autres
Publié: (2024)
Enhancing SLM via ChatGPT and Dataset Augmentation
par: Pieper, Tom, et autres
Publié: (2024)
par: Pieper, Tom, et autres
Publié: (2024)
Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning
par: Shah, Vivswan, et autres
Publié: (2025)
par: Shah, Vivswan, et autres
Publié: (2025)
Boosting Large Language Models with Mask Fine-Tuning
par: Zhang, Mingyuan, et autres
Publié: (2025)
par: Zhang, Mingyuan, et autres
Publié: (2025)
Fine-Tuning Language Models with Reward Learning on Policy
par: Lang, Hao, et autres
Publié: (2024)
par: Lang, Hao, et autres
Publié: (2024)
Scaling Sparse Fine-Tuning to Large Language Models
par: Ansell, Alan, et autres
Publié: (2024)
par: Ansell, Alan, et autres
Publié: (2024)
Fine-Tuning Improves Information Conveyance in Language Models
par: Cheng, Yuwei, et autres
Publié: (2026)
par: Cheng, Yuwei, et autres
Publié: (2026)
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
par: Liu, Yong, et autres
Publié: (2024)
par: Liu, Yong, et autres
Publié: (2024)
Teaching LLMs How to Learn with Contextual Fine-Tuning
par: Choi, Younwoo, et autres
Publié: (2025)
par: Choi, Younwoo, et autres
Publié: (2025)
Crafting Efficient Fine-Tuning Strategies for Large Language Models
par: Oliver, Michael, et autres
Publié: (2024)
par: Oliver, Michael, et autres
Publié: (2024)
Improving Large Language Models with Concept-Aware Fine-Tuning
par: Chen, Michael K., et autres
Publié: (2025)
par: Chen, Michael K., et autres
Publié: (2025)
Unintended Memorization of Sensitive Information in Fine-Tuned Language Models
par: Szep, Marton, et autres
Publié: (2026)
par: Szep, Marton, et autres
Publié: (2026)
G-Loss: Graph-Guided Fine-Tuning of Language Models
par: Sharma, Aditya, et autres
Publié: (2026)
par: Sharma, Aditya, et autres
Publié: (2026)
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
par: Chen, Zixiang, et autres
Publié: (2024)
par: Chen, Zixiang, et autres
Publié: (2024)
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning
par: Yang, Yifan, et autres
Publié: (2024)
par: Yang, Yifan, et autres
Publié: (2024)
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks
par: Chen, Xiaoyi, et autres
Publié: (2023)
par: Chen, Xiaoyi, et autres
Publié: (2023)
Model Editing by Standard Fine-Tuning
par: Gangadhar, Govind, et autres
Publié: (2024)
par: Gangadhar, Govind, et autres
Publié: (2024)
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
par: Chow, Yinlam, et autres
Publié: (2024)
par: Chow, Yinlam, et autres
Publié: (2024)
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning
par: Hong, Joey, et autres
Publié: (2024)
par: Hong, Joey, et autres
Publié: (2024)
Enhancing Trust in Large Language Models via Uncertainty-Calibrated Fine-Tuning
par: Krishnan, Ranganath, et autres
Publié: (2024)
par: Krishnan, Ranganath, et autres
Publié: (2024)
BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes
par: Huang, Baichuan, et autres
Publié: (2025)
par: Huang, Baichuan, et autres
Publié: (2025)
PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models
par: Agiza, Ahmed, et autres
Publié: (2024)
par: Agiza, Ahmed, et autres
Publié: (2024)
Do Large Language Models Show Biases in Causal Learning?
par: Carro, Maria Victoria, et autres
Publié: (2024)
par: Carro, Maria Victoria, et autres
Publié: (2024)
Hyperbolic Fine-Tuning for Large Language Models
par: Yang, Menglin, et autres
Publié: (2024)
par: Yang, Menglin, et autres
Publié: (2024)
Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models
par: Bui, Nghia, et autres
Publié: (2025)
par: Bui, Nghia, et autres
Publié: (2025)
Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Models
par: Wang, Yulong, et autres
Publié: (2024)
par: Wang, Yulong, et autres
Publié: (2024)
Accurate Prediction of Ligand-Protein Interaction Affinities with Fine-Tuned Small Language Models
par: Fauber, Ben
Publié: (2024)
par: Fauber, Ben
Publié: (2024)
Parameter-Efficient Fine-Tuning for Foundation Models
par: Zhang, Dan, et autres
Publié: (2025)
par: Zhang, Dan, et autres
Publié: (2025)
Re-Emergent Misalignment: How Narrow Fine-Tuning Erodes Safety Alignment in LLMs
par: Giordani, Jeremiah
Publié: (2025)
par: Giordani, Jeremiah
Publié: (2025)
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
par: Kabra, Sanchit, et autres
Publié: (2025)
par: Kabra, Sanchit, et autres
Publié: (2025)
Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models
par: Son, Hyegang, et autres
Publié: (2024)
par: Son, Hyegang, et autres
Publié: (2024)
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models
par: Gupta, Sonam, et autres
Publié: (2024)
par: Gupta, Sonam, et autres
Publié: (2024)
QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning
par: Ananta, Moses, et autres
Publié: (2025)
par: Ananta, Moses, et autres
Publié: (2025)
In-Context Fine-Tuning for Time-Series Foundation Models
par: Das, Abhimanyu, et autres
Publié: (2024)
par: Das, Abhimanyu, et autres
Publié: (2024)
Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset
par: Chowdhury, Mohammed Nowshad Ruhani, et autres
Publié: (2026)
par: Chowdhury, Mohammed Nowshad Ruhani, et autres
Publié: (2026)
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies
par: Weng, Benjue
Publié: (2024)
par: Weng, Benjue
Publié: (2024)
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
par: Chang, Aofei, et autres
Publié: (2024)
par: Chang, Aofei, et autres
Publié: (2024)
Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
par: Liu, Yuanhao, et autres
Publié: (2026)
par: Liu, Yuanhao, et autres
Publié: (2026)
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
par: Dong, Guanting, et autres
Publié: (2023)
par: Dong, Guanting, et autres
Publié: (2023)
Proximal Supervised Fine-Tuning
par: Zhu, Wenhong, et autres
Publié: (2025)
par: Zhu, Wenhong, et autres
Publié: (2025)
Documents similaires
-
Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights
par: Ballout, Mohamad, et autres
Publié: (2024) -
Enhancing SLM via ChatGPT and Dataset Augmentation
par: Pieper, Tom, et autres
Publié: (2024) -
Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning
par: Shah, Vivswan, et autres
Publié: (2025) -
Boosting Large Language Models with Mask Fine-Tuning
par: Zhang, Mingyuan, et autres
Publié: (2025) -
Fine-Tuning Language Models with Reward Learning on Policy
par: Lang, Hao, et autres
Publié: (2024)