Privacy-preserving Fine-tuning of Large Language Models through Flatness
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Tiejin, Da, Longchao, Zhou, Huixue, Li, Pingzhi, Zhou, Kaixiong, Chen, Tianlong, Wei, Hua |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Open-TI: Open Traffic Intelligence with Augmented Language Model
by: Da, Longchao, et al.
Published: (2023)
by: Da, Longchao, et al.
Published: (2023)
Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering
by: Chen, Tiejin, et al.
Published: (2026)
by: Chen, Tiejin, et al.
Published: (2026)
LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation
by: Da, Longchao, et al.
Published: (2024)
by: Da, Longchao, et al.
Published: (2024)
Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses
by: Chen, Tiejin, et al.
Published: (2025)
by: Chen, Tiejin, et al.
Published: (2025)
Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving
by: Da, Longchao, et al.
Published: (2025)
by: Da, Longchao, et al.
Published: (2025)
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
by: Zhang, Jiaxing, et al.
Published: (2023)
by: Zhang, Jiaxing, et al.
Published: (2023)
Generative AI in Transportation Planning: A Survey
by: Da, Longchao, et al.
Published: (2025)
by: Da, Longchao, et al.
Published: (2025)
Demystifying Instruction Mixing for Fine-tuning Large Language Models
by: Wang, Renxi, et al.
Published: (2023)
by: Wang, Renxi, et al.
Published: (2023)
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic
by: Yao, Huaiyuan, et al.
Published: (2024)
by: Yao, Huaiyuan, et al.
Published: (2024)
A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models
by: Da, Longchao, et al.
Published: (2025)
by: Da, Longchao, et al.
Published: (2025)
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
by: Peng, Zhenghao, et al.
Published: (2024)
by: Peng, Zhenghao, et al.
Published: (2024)
Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology
by: Da, Longchao, et al.
Published: (2025)
by: Da, Longchao, et al.
Published: (2025)
Fine-tuning Large Language Models for Entity Matching
by: Steiner, Aaron, et al.
Published: (2024)
by: Steiner, Aaron, et al.
Published: (2024)
Diagnosing Multi-step Reasoning Failures in Black-box LLMs via Stepwise Confidence Attribution
by: Liu, Xiaoou, et al.
Published: (2026)
by: Liu, Xiaoou, et al.
Published: (2026)
Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines
by: Lai, Junyu, et al.
Published: (2024)
by: Lai, Junyu, et al.
Published: (2024)
Privacy-preserving Universal Adversarial Defense for Black-box Models
by: Li, Qiao, et al.
Published: (2024)
by: Li, Qiao, et al.
Published: (2024)
Shaded Route Planning Using Active Segmentation and Identification of Satellite Images
by: Da, Longchao, et al.
Published: (2024)
by: Da, Longchao, et al.
Published: (2024)
RMGAP: Benchmarking the Generalization of Reward Models across Diverse Preferences
by: Zhou, Yangyang, et al.
Published: (2026)
by: Zhou, Yangyang, et al.
Published: (2026)
GraphWalk: Enabling Reasoning in Large Language Models through Tool-Based Graph Navigation
by: Ghandi, Taraneh, et al.
Published: (2026)
by: Ghandi, Taraneh, et al.
Published: (2026)
Large Language Model Interface for Home Energy Management Systems
by: Michelon, François, et al.
Published: (2025)
by: Michelon, François, et al.
Published: (2025)
Advancing Natural Language Formalization to First Order Logic with Fine-tuned LLMs
by: Vossel, Felix, et al.
Published: (2025)
by: Vossel, Felix, et al.
Published: (2025)
Enhancing Large Language Models through Neuro-Symbolic Integration and Ontological Reasoning
by: Vsevolodovna, Ruslan Idelfonso Magana, et al.
Published: (2025)
by: Vsevolodovna, Ruslan Idelfonso Magana, et al.
Published: (2025)
RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars
by: Hua, Yuncheng, et al.
Published: (2025)
by: Hua, Yuncheng, et al.
Published: (2025)
Large Language Models as Oracles for Ontology Alignment
by: Lushnei, Sviatoslav, et al.
Published: (2025)
by: Lushnei, Sviatoslav, et al.
Published: (2025)
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs
by: Tytarenko, Stepan, et al.
Published: (2024)
by: Tytarenko, Stepan, et al.
Published: (2024)
Beyond Memorization: Violating Privacy Via Inference with Large Language Models
by: Staab, Robin, et al.
Published: (2023)
by: Staab, Robin, et al.
Published: (2023)
FM-LC: A Hierarchical Framework for Urban Flood Mapping by Land Cover Identification Models
by: Hong, Xin, et al.
Published: (2025)
by: Hong, Xin, et al.
Published: (2025)
ShadeBench: A Benchmark Dataset for Building Shade Simulation in Sustainable Society
by: Da, Longchao, et al.
Published: (2026)
by: Da, Longchao, et al.
Published: (2026)
Large Language Models Can Better Understand Knowledge Graphs Than We Thought
by: Dai, Xinbang, et al.
Published: (2024)
by: Dai, Xinbang, et al.
Published: (2024)
Robust Uncertainty Quantification for Factual Generation of Large Language Models
by: Zhang, Yuhao, et al.
Published: (2026)
by: Zhang, Yuhao, et al.
Published: (2026)
Streamlining Redundant Layers to Compress Large Language Models
by: Chen, Xiaodong, et al.
Published: (2024)
by: Chen, Xiaodong, et al.
Published: (2024)
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images
by: Da, Longchao, et al.
Published: (2024)
by: Da, Longchao, et al.
Published: (2024)
A Multi-Encoder Frozen-Decoder Approach for Fine-Tuning Large Language Models
by: Dhole, Kaustubh D.
Published: (2025)
by: Dhole, Kaustubh D.
Published: (2025)
Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models
by: Liao, Jianxing, et al.
Published: (2025)
by: Liao, Jianxing, et al.
Published: (2025)
Enhancing Burmese News Classification with Kolmogorov-Arnold Network Head Fine-tuning
by: Aung, Thura, et al.
Published: (2025)
by: Aung, Thura, et al.
Published: (2025)
EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique
by: Zhu, Chenglin, et al.
Published: (2025)
by: Zhu, Chenglin, et al.
Published: (2025)
Large Language Models Powered Multiagent Ensemble for Mitigating Hallucination and Efficient Atrial Fibrillation Annotation of ECG Reports
by: Huang, Jingwei, et al.
Published: (2024)
by: Huang, Jingwei, et al.
Published: (2024)
FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints
by: Yang, Lishan, et al.
Published: (2025)
by: Yang, Lishan, et al.
Published: (2025)
Scaling Laws for State Dynamics in Large Language Models
by: Li, Jacob X, et al.
Published: (2025)
by: Li, Jacob X, et al.
Published: (2025)
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues
by: Hua, Yuncheng, et al.
Published: (2024)
by: Hua, Yuncheng, et al.
Published: (2024)
Similar Items
-
Open-TI: Open Traffic Intelligence with Augmented Language Model
by: Da, Longchao, et al.
Published: (2023) -
Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering
by: Chen, Tiejin, et al.
Published: (2026) -
LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation
by: Da, Longchao, et al.
Published: (2024) -
Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses
by: Chen, Tiejin, et al.
Published: (2025) -
Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving
by: Da, Longchao, et al.
Published: (2025)