Alignment Dynamics in LLM Fine-Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Yuhan, Chen, Huanran, Dong, Yinpeng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mitigating Overthinking in Large Reasoning Models via Manifold Steering
by: Huang, Yao, et al.
Published: (2025)
by: Huang, Yao, et al.
Published: (2025)
Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection
by: Wu, Chengcan, et al.
Published: (2025)
by: Wu, Chengcan, et al.
Published: (2025)
SafeTuneBed: A Toolkit for Benchmarking LLM Safety Alignment in Fine-Tuning
by: Hossain, Saad, et al.
Published: (2025)
by: Hossain, Saad, et al.
Published: (2025)
Understanding the Performance and Estimating the Cost of LLM Fine-Tuning
by: Xia, Yuchen, et al.
Published: (2024)
by: Xia, Yuchen, et al.
Published: (2024)
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
by: Zeng, Xinyue, et al.
Published: (2025)
by: Zeng, Xinyue, et al.
Published: (2025)
Goal-Conditioned Supervised Learning for LLM Fine-Tuning
by: Li, Shijun, et al.
Published: (2026)
by: Li, Shijun, et al.
Published: (2026)
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation
by: Liu, Jun, et al.
Published: (2025)
by: Liu, Jun, et al.
Published: (2025)
The Geometry of Alignment Collapse: When Fine-Tuning Breaks Safety
by: Springer, Max, et al.
Published: (2026)
by: Springer, Max, et al.
Published: (2026)
Data Difficulty and the Generalization--Extrapolation Tradeoff in LLM Fine-Tuning
by: Liu, Siyuan, et al.
Published: (2026)
by: Liu, Siyuan, et al.
Published: (2026)
MallowsPO: Fine-Tune Your LLM with Preference Dispersions
by: Chen, Haoxian, et al.
Published: (2024)
by: Chen, Haoxian, et al.
Published: (2024)
Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection
by: Lai, Zhixin, et al.
Published: (2024)
by: Lai, Zhixin, et al.
Published: (2024)
Robust and Efficient Zeroth-Order LLM Fine-Tuning via Adaptive Bayesian Subspace Optimizer
by: Feng, Jian, et al.
Published: (2026)
by: Feng, Jian, et al.
Published: (2026)
DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy
by: Xu, Kaixuan, et al.
Published: (2025)
by: Xu, Kaixuan, et al.
Published: (2025)
Internalizing Curriculum Judgment for LLM Reinforcement Fine-Tuning
by: Zheng, Han, et al.
Published: (2026)
by: Zheng, Han, et al.
Published: (2026)
Overcoming Forgetting in LLM Fine-Tuning with Evolution Strategies
by: Schweighofer, Kajetan, et al.
Published: (2026)
by: Schweighofer, Kajetan, et al.
Published: (2026)
Implicit Federated In-context Learning For Task-Specific LLM Fine-Tuning
by: Li, Dongcheng, et al.
Published: (2025)
by: Li, Dongcheng, et al.
Published: (2025)
On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models
by: Wang, Shumin, et al.
Published: (2026)
by: Wang, Shumin, et al.
Published: (2026)
PREFINE: Preference-Based Implicit Reward and Cost Fine-Tuning for Safety Alignment
by: Verma, Richa, et al.
Published: (2026)
by: Verma, Richa, et al.
Published: (2026)
ECLIPTICA -- A Framework for Switchable LLM Alignment via CITA - Contrastive Instruction-Tuned Alignment
by: Wanaskar, Kapil, et al.
Published: (2026)
by: Wanaskar, Kapil, et al.
Published: (2026)
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
by: Chen, Yupeng, et al.
Published: (2024)
by: Chen, Yupeng, et al.
Published: (2024)
Deep Fusion: Capturing Dependencies in Contrastive Learning via Transformer Projection Heads
by: Li, Huanran, et al.
Published: (2024)
by: Li, Huanran, et al.
Published: (2024)
Study of Training Dynamics for Memory-Constrained Fine-Tuning
by: Quélennec, Aël, et al.
Published: (2025)
by: Quélennec, Aël, et al.
Published: (2025)
Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment
by: Wang, Haozhong, et al.
Published: (2026)
by: Wang, Haozhong, et al.
Published: (2026)
Representation Without Reward: A JEPA Audit for LLM Fine-Tuning
by: Sengupta, Biswa
Published: (2026)
by: Sengupta, Biswa
Published: (2026)
FT-Dojo: Towards Autonomous LLM Fine-Tuning with Language Agents
by: Li, Qizheng, et al.
Published: (2026)
by: Li, Qizheng, et al.
Published: (2026)
Rethinking Cross-Modal Fine-Tuning: Optimizing the Interaction Between Feature Alignment and Target Fitting
by: Tran, Trong Khiem, et al.
Published: (2026)
by: Tran, Trong Khiem, et al.
Published: (2026)
Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
by: Taraghi, Mina, et al.
Published: (2025)
by: Taraghi, Mina, et al.
Published: (2025)
CurvZO: Adaptive Curvature-Guided Sparse Zeroth-Order Optimization for Efficient LLM Fine-Tuning
by: Wang, Shuo, et al.
Published: (2026)
by: Wang, Shuo, et al.
Published: (2026)
Wireless Federated Multi-Task LLM Fine-Tuning via Sparse-and-Orthogonal LoRA
by: Yang, Nuocheng, et al.
Published: (2026)
by: Yang, Nuocheng, et al.
Published: (2026)
H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity
by: Guo, Wei, et al.
Published: (2025)
by: Guo, Wei, et al.
Published: (2025)
Why Do Unlearnable Examples Work: A Novel Perspective of Mutual Information
by: Zhu, Yifan, et al.
Published: (2026)
by: Zhu, Yifan, et al.
Published: (2026)
Parameter Efficiency Is Not Memory Efficiency: Rethinking Fine-Tuning for On-Device LLM Adaptation
by: Tenison, Irene, et al.
Published: (2026)
by: Tenison, Irene, et al.
Published: (2026)
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
by: Wang, Dong, et al.
Published: (2025)
by: Wang, Dong, et al.
Published: (2025)
Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity
by: Ran, Yide, et al.
Published: (2025)
by: Ran, Yide, et al.
Published: (2025)
MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning
by: Lu, Yiyang, et al.
Published: (2026)
by: Lu, Yiyang, et al.
Published: (2026)
NeuronTune: Fine-Grained Neuron Modulation for Balanced Safety-Utility Alignment in LLMs
by: Pan, Birong, et al.
Published: (2025)
by: Pan, Birong, et al.
Published: (2025)
IA2: Alignment with ICL Activations Improves Supervised Fine-Tuning
by: Mishra, Aayush, et al.
Published: (2025)
by: Mishra, Aayush, et al.
Published: (2025)
Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows
by: Ayala, Orlando Marquez, et al.
Published: (2025)
by: Ayala, Orlando Marquez, et al.
Published: (2025)
GFT: From Imitation to Reward Fine-Tuning with Unbiased Group Advantages and Dynamic Coefficient Rectification
by: Gan, Wangjie, et al.
Published: (2026)
by: Gan, Wangjie, et al.
Published: (2026)
Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning
by: Cong, Peizhuang, et al.
Published: (2025)
by: Cong, Peizhuang, et al.
Published: (2025)
Similar Items
-
Mitigating Overthinking in Large Reasoning Models via Manifold Steering
by: Huang, Yao, et al.
Published: (2025) -
Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection
by: Wu, Chengcan, et al.
Published: (2025) -
SafeTuneBed: A Toolkit for Benchmarking LLM Safety Alignment in Fine-Tuning
by: Hossain, Saad, et al.
Published: (2025) -
Understanding the Performance and Estimating the Cost of LLM Fine-Tuning
by: Xia, Yuchen, et al.
Published: (2024) -
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
by: Zeng, Xinyue, et al.
Published: (2025)