BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Baichuan, Balashankar, Ananth, Aminifar, Amir |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adversarial Reinforcement Learning for Large Language Model Agent Safety
by: Wang, Zizhao, et al.
Published: (2025)
by: Wang, Zizhao, 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)
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)
Fine-Tuning Language Models with Reward Learning on Policy
by: Lang, Hao, et al.
Published: (2024)
by: Lang, Hao, et al.
Published: (2024)
Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs
by: Zhang, Zheng, et al.
Published: (2024)
by: Zhang, Zheng, et al.
Published: (2024)
Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning
by: Khadangi, Afshin, et al.
Published: (2025)
by: Khadangi, Afshin, et al.
Published: (2025)
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)
Parameter-Efficient Fine-Tuning for Foundation Models
by: Zhang, Dan, et al.
Published: (2025)
by: Zhang, Dan, et al.
Published: (2025)
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
by: Liu, Zeyu, et al.
Published: (2024)
by: Liu, Zeyu, et al.
Published: (2024)
PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models
by: Agiza, Ahmed, et al.
Published: (2024)
by: Agiza, Ahmed, et al.
Published: (2024)
Federated Data-Efficient Instruction Tuning for Large Language Models
by: Qin, Zhen, et al.
Published: (2024)
by: Qin, Zhen, et al.
Published: (2024)
Soft-prompt Tuning for Large Language Models to Evaluate Bias
by: Tian, Jacob-Junqi, et al.
Published: (2023)
by: Tian, Jacob-Junqi, et al.
Published: (2023)
Parameter-Efficient Fine-Tuning for Low-Resource Languages: A Comparative Study of LLMs for Bengali Hate Speech Detection
by: Islam, Akif, et al.
Published: (2025)
by: Islam, Akif, et al.
Published: (2025)
Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset
by: Chowdhury, Mohammed Nowshad Ruhani, et al.
Published: (2026)
by: Chowdhury, Mohammed Nowshad Ruhani, et al.
Published: (2026)
An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning
by: Li, Cen-Jhih, et al.
Published: (2025)
by: Li, Cen-Jhih, et al.
Published: (2025)
Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning
by: Barazandeh, Babak, et al.
Published: (2025)
by: Barazandeh, Babak, et al.
Published: (2025)
Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models
by: Son, Hyegang, et al.
Published: (2024)
by: Son, Hyegang, et al.
Published: (2024)
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
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)
Fine-Tuning Improves Information Conveyance in Language Models
by: Cheng, Yuwei, et al.
Published: (2026)
by: Cheng, Yuwei, et al.
Published: (2026)
ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models
by: Singhal, Raghav, et al.
Published: (2025)
by: Singhal, Raghav, et al.
Published: (2025)
DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning
by: Ananta, Moses, et al.
Published: (2025)
by: Ananta, Moses, et al.
Published: (2025)
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
by: Chang, Aofei, et al.
Published: (2024)
by: Chang, Aofei, et al.
Published: (2024)
Fine-Tuning Small Language Models (SLMs) for Autonomous Web-based Geographical Information Systems (AWebGIS)
by: Ashani, Mahdi Nazari, et al.
Published: (2025)
by: Ashani, Mahdi Nazari, et al.
Published: (2025)
Unintended Memorization of Sensitive Information in Fine-Tuned Language Models
by: Szep, Marton, et al.
Published: (2026)
by: Szep, Marton, et al.
Published: (2026)
G-Loss: Graph-Guided Fine-Tuning of Language Models
by: Sharma, Aditya, et al.
Published: (2026)
by: Sharma, Aditya, et al.
Published: (2026)
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
by: Wang, Luping, et al.
Published: (2024)
by: Wang, Luping, et al.
Published: (2024)
Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models
by: Arteaga, Gabriel Y., et al.
Published: (2024)
by: Arteaga, Gabriel Y., et al.
Published: (2024)
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
by: Chen, Zixiang, et al.
Published: (2024)
by: Chen, Zixiang, et al.
Published: (2024)
Inducing Group Fairness in Prompt-Based Language Model Decisions
by: Atwood, James, et al.
Published: (2024)
by: Atwood, James, et al.
Published: (2024)
ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs
by: Wang, Zige, et al.
Published: (2025)
by: Wang, Zige, et al.
Published: (2025)
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
by: Ponkshe, Kaustubh, et al.
Published: (2024)
by: Ponkshe, Kaustubh, et al.
Published: (2024)
Joint Localization and Activation Editing for Low-Resource Fine-Tuning
by: Lai, Wen, et al.
Published: (2025)
by: Lai, Wen, et al.
Published: (2025)
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
by: Gao, Ziqi, et al.
Published: (2024)
by: Gao, Ziqi, et al.
Published: (2024)
ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
by: Hameed, Marawan Gamal Abdel, et al.
Published: (2024)
by: Hameed, Marawan Gamal Abdel, et al.
Published: (2024)
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
by: Lingam, Vijay, et al.
Published: (2024)
by: Lingam, Vijay, et al.
Published: (2024)
Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts
by: Heuillet, Maxime, et al.
Published: (2025)
by: Heuillet, Maxime, et al.
Published: (2025)
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
Similar Items
-
Adversarial Reinforcement Learning for Large Language Model Agent Safety
by: Wang, Zizhao, et al.
Published: (2025) -
Crafting Efficient Fine-Tuning Strategies for Large Language Models
by: Oliver, Michael, et al.
Published: (2024) -
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
by: Kabra, Sanchit, et al.
Published: (2025) -
Fine-Tuning Language Models with Reward Learning on Policy
by: Lang, Hao, et al.
Published: (2024) -
Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs
by: Zhang, Zheng, et al.
Published: (2024)