Saved in:
| Main Author: | Sathish, Sharath |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.04937 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
by: Feng, Jiarui, et al.
Published: (2025)
by: Feng, Jiarui, et al.
Published: (2025)
Cubical Type Theoretic Navya-Nyāya
by: Panday, Mrityunjoy, et al.
Published: (2026)
by: Panday, Mrityunjoy, et al.
Published: (2026)
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
by: Zhang, Xinlu, et al.
Published: (2024)
by: Zhang, Xinlu, et al.
Published: (2024)
Memorization in Fine-Tuned Large Language Models
by: Savine, Danil
Published: (2025)
by: Savine, Danil
Published: (2025)
Unveiling Reasoning Thresholds in Language Models: Scaling, Fine-Tuning, and Interpretability through Attention Maps
by: Hsiao, Yen-Che, et al.
Published: (2025)
by: Hsiao, Yen-Che, et al.
Published: (2025)
NyayaMind- A Framework for Transparent Legal Reasoning and Judgment Prediction in the Indian Legal System
by: Shukla, Parjanya Aditya, et al.
Published: (2026)
by: Shukla, Parjanya Aditya, et al.
Published: (2026)
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
by: Kabra, Sanchit, et al.
Published: (2025)
by: Kabra, Sanchit, et al.
Published: (2025)
Safety-Aware Fine-Tuning of Large Language Models
by: Choi, Hyeong Kyu, et al.
Published: (2024)
by: Choi, Hyeong Kyu, et al.
Published: (2024)
Phased Instruction Fine-Tuning for Large Language Models
by: Pang, Wei, et al.
Published: (2024)
by: Pang, Wei, et al.
Published: (2024)
Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law
by: Bashir, Ali Hamza, et al.
Published: (2026)
by: Bashir, Ali Hamza, et al.
Published: (2026)
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
by: Jang, Chaeyun, et al.
Published: (2024)
by: Jang, Chaeyun, et al.
Published: (2024)
Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models
by: Barnett, Scott, et al.
Published: (2024)
by: Barnett, Scott, et al.
Published: (2024)
Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models
by: Sun, Haoyuan, et al.
Published: (2025)
by: Sun, Haoyuan, et al.
Published: (2025)
Reversing Large Language Models for Efficient Training and Fine-Tuning
by: Gal, Eshed, et al.
Published: (2025)
by: Gal, Eshed, et al.
Published: (2025)
Impact of Fine-Tuning Methods on Memorization in Large Language Models
by: Hou, Jie, et al.
Published: (2025)
by: Hou, Jie, et al.
Published: (2025)
Epistemic Integrity in Large Language Models
by: Ghafouri, Bijean, et al.
Published: (2024)
by: Ghafouri, Bijean, et al.
Published: (2024)
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
by: Lyu, Yougang, et al.
Published: (2024)
by: Lyu, Yougang, et al.
Published: (2024)
Efficient Fine-Tuning of Large Language Models for Automated Medical Documentation
by: Leong, Hui Yi, et al.
Published: (2024)
by: Leong, Hui Yi, et al.
Published: (2024)
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
by: Khadangi, Afshin, et al.
Published: (2025)
by: Khadangi, Afshin, et al.
Published: (2025)
Boosting Large Language Models with Mask Fine-Tuning
by: Zhang, Mingyuan, et al.
Published: (2025)
by: Zhang, Mingyuan, et al.
Published: (2025)
Scaling Sparse Fine-Tuning to Large Language Models
by: Ansell, Alan, et al.
Published: (2024)
by: Ansell, Alan, et al.
Published: (2024)
Hyperbolic Fine-Tuning for Large Language Models
by: Yang, Menglin, et al.
Published: (2024)
by: Yang, Menglin, et al.
Published: (2024)
Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models
by: Ormerod, Christopher
Published: (2026)
by: Ormerod, Christopher
Published: (2026)
You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models
by: He, Wenchong, et al.
Published: (2025)
by: He, Wenchong, et al.
Published: (2025)
Legal Documents Drafting with Fine-Tuned Pre-Trained Large Language Model
by: Lin, Chun-Hsien, et al.
Published: (2024)
by: Lin, Chun-Hsien, et al.
Published: (2024)
Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models
by: Ramakrishnan, Badrinath, et al.
Published: (2025)
by: Ramakrishnan, Badrinath, et al.
Published: (2025)
Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
by: Cruickshank, Iain J., et al.
Published: (2023)
by: Cruickshank, Iain J., et al.
Published: (2023)
Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting
by: Ding, Fei, et al.
Published: (2025)
by: Ding, Fei, et al.
Published: (2025)
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
by: Huang, Wenke, et al.
Published: (2024)
by: Huang, Wenke, et al.
Published: (2024)
Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
by: Zhang, Jia-Chen, et al.
Published: (2025)
by: Zhang, Jia-Chen, et al.
Published: (2025)
Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning
by: Mai, Long, et al.
Published: (2024)
by: Mai, Long, et al.
Published: (2024)
Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning
by: Cai, Hengrui, et al.
Published: (2023)
by: Cai, Hengrui, et al.
Published: (2023)
Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes
by: Li, Meng, et al.
Published: (2025)
by: Li, Meng, et al.
Published: (2025)
Overtrained Language Models Are Harder to Fine-Tune
by: Springer, Jacob Mitchell, et al.
Published: (2025)
by: Springer, Jacob Mitchell, et al.
Published: (2025)
Crafting Efficient Fine-Tuning Strategies for Large Language Models
by: Oliver, Michael, et al.
Published: (2024)
by: Oliver, Michael, et al.
Published: (2024)
Improving Large Language Models with Concept-Aware Fine-Tuning
by: Chen, Michael K., et al.
Published: (2025)
by: Chen, Michael K., et al.
Published: (2025)
Enhancing Large Language Models through Structured Reasoning
by: Dong, Yubo, et al.
Published: (2025)
by: Dong, Yubo, et al.
Published: (2025)
LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models
by: Qin, Zhanyue, et al.
Published: (2025)
by: Qin, Zhanyue, et al.
Published: (2025)
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks
by: Efeoglu, Sefika, et al.
Published: (2024)
by: Efeoglu, Sefika, et al.
Published: (2024)
Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks
by: Luo, Ling, et al.
Published: (2023)
by: Luo, Ling, et al.
Published: (2023)
Similar Items
-
GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
by: Feng, Jiarui, et al.
Published: (2025) -
Cubical Type Theoretic Navya-Nyāya
by: Panday, Mrityunjoy, et al.
Published: (2026) -
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
by: Zhang, Xinlu, et al.
Published: (2024) -
Memorization in Fine-Tuned Large Language Models
by: Savine, Danil
Published: (2025) -
Unveiling Reasoning Thresholds in Language Models: Scaling, Fine-Tuning, and Interpretability through Attention Maps
by: Hsiao, Yen-Che, et al.
Published: (2025)