Saved in:
| Main Authors: | Zhang, Li, Han, Zhongxuan, Feng, XiaoHua, Zhang, Jiaming, Li, Yuyuan, Jiang, Linbo, Lin, Jianan, Chen, Chaochao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.16423 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Demystifying the Optimal Fair Classifier in Multi-Class Classification
by: Zhang, Li, et al.
Published: (2026)
by: Zhang, Li, et al.
Published: (2026)
FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning
by: Zhang, Li, et al.
Published: (2025)
by: Zhang, Li, et al.
Published: (2025)
Bridging the Gap Between Preference Alignment and Machine Unlearning
by: Feng, Xiaohua, et al.
Published: (2025)
by: Feng, Xiaohua, et al.
Published: (2025)
WassFFed: Wasserstein Fair Federated Learning
by: Han, Zhongxuan, et al.
Published: (2024)
by: Han, Zhongxuan, et al.
Published: (2024)
Integration of Large Language Models and Federated Learning
by: Chen, Chaochao, et al.
Published: (2023)
by: Chen, Chaochao, et al.
Published: (2023)
FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training
by: Li, Yuyuan, et al.
Published: (2025)
by: Li, Yuyuan, et al.
Published: (2025)
Class-wise Federated Unlearning: Harnessing Active Forgetting with Teacher-Student Memory Generation
by: Li, Yuyuan, et al.
Published: (2023)
by: Li, Yuyuan, et al.
Published: (2023)
A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty
by: Feng, Xiaohua, et al.
Published: (2025)
by: Feng, Xiaohua, et al.
Published: (2025)
Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems
by: Li, Yuyuan, et al.
Published: (2025)
by: Li, Yuyuan, et al.
Published: (2025)
Reproducibility Companion Paper:In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems
by: Liu, Yixiu, et al.
Published: (2025)
by: Liu, Yixiu, et al.
Published: (2025)
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
by: Zhang, Li, et al.
Published: (2025)
by: Zhang, Li, et al.
Published: (2025)
BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization
by: Zhang, Jiaming, et al.
Published: (2025)
by: Zhang, Jiaming, et al.
Published: (2025)
UFO: Unfair-to-Fair Evolving Mitigates Unfairness in LLM-based Recommender Systems via Self-Play Fine-tuning
by: Zhang, Jiaming, et al.
Published: (2025)
by: Zhang, Jiaming, et al.
Published: (2025)
Enhancing Vision-Language Few-Shot Adaptation with Negative Learning
by: Zhang, Ce, et al.
Published: (2024)
by: Zhang, Ce, et al.
Published: (2024)
Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
by: Zhang, Jiaming, et al.
Published: (2026)
by: Zhang, Jiaming, et al.
Published: (2026)
Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation
by: Yu, Fengyuan, et al.
Published: (2026)
by: Yu, Fengyuan, et al.
Published: (2026)
PermLLM: Private Inference of Large Language Models within 3 Seconds under WAN
by: Zheng, Fei, et al.
Published: (2024)
by: Zheng, Fei, et al.
Published: (2024)
OneLLM: One Framework to Align All Modalities with Language
by: Han, Jiaming, et al.
Published: (2023)
by: Han, Jiaming, et al.
Published: (2023)
LLaVA-OneVision: Easy Visual Task Transfer
by: Li, Bo, et al.
Published: (2024)
by: Li, Bo, et al.
Published: (2024)
Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language Models
by: Li, Bin, et al.
Published: (2025)
by: Li, Bin, et al.
Published: (2025)
One-Shot Learning as Instruction Data Prospector for Large Language Models
by: Li, Yunshui, et al.
Published: (2023)
by: Li, Yunshui, et al.
Published: (2023)
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
by: Xiao, Chaojun, et al.
Published: (2024)
by: Xiao, Chaojun, et al.
Published: (2024)
Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?
by: Xu, Naen, et al.
Published: (2025)
by: Xu, Naen, et al.
Published: (2025)
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models
by: Zhang, Xueyan, et al.
Published: (2025)
by: Zhang, Xueyan, et al.
Published: (2025)
AgriGPT-VL: Agricultural Vision-Language Understanding Suite
by: Yang, Bo, et al.
Published: (2025)
by: Yang, Bo, et al.
Published: (2025)
UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training
by: Gong, Biao, et al.
Published: (2023)
by: Gong, Biao, et al.
Published: (2023)
Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models
by: Zheng, Hongye, et al.
Published: (2025)
by: Zheng, Hongye, et al.
Published: (2025)
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP
by: Zhang, Lihong, et al.
Published: (2025)
by: Zhang, Lihong, et al.
Published: (2025)
A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions
by: Li, Yuyuan, et al.
Published: (2024)
by: Li, Yuyuan, et al.
Published: (2024)
OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models
by: Kuang, Yuxuan, et al.
Published: (2024)
by: Kuang, Yuxuan, et al.
Published: (2024)
DOTA: Distributional Test-Time Adaptation of Vision-Language Models
by: Han, Zongbo, et al.
Published: (2024)
by: Han, Zongbo, et al.
Published: (2024)
A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction
by: Feng, Xiaohua, et al.
Published: (2025)
by: Feng, Xiaohua, et al.
Published: (2025)
Transliterated Zero-Shot Domain Adaptation for Automatic Speech Recognition
by: Zhu, Han, et al.
Published: (2024)
by: Zhu, Han, et al.
Published: (2024)
Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation
by: Lu, Jinghui, et al.
Published: (2026)
by: Lu, Jinghui, et al.
Published: (2026)
Towards Training A Chinese Large Language Model for Anesthesiology
by: Wang, Zhonghai, et al.
Published: (2024)
by: Wang, Zhonghai, et al.
Published: (2024)
PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning
by: Chang, Qikai, et al.
Published: (2026)
by: Chang, Qikai, et al.
Published: (2026)
Few-Shot Adversarial Prompt Learning on Vision-Language Models
by: Zhou, Yiwei, et al.
Published: (2024)
by: Zhou, Yiwei, et al.
Published: (2024)
A Systematic Study of Training-Free Methods for Trustworthy Large Language Models
by: Si, Wai Man, et al.
Published: (2026)
by: Si, Wai Man, et al.
Published: (2026)
Mistake Notebook Learning: Batch-Clustered Failures for Training-Free Agent Adaptation
by: Su, Xuanbo, et al.
Published: (2025)
by: Su, Xuanbo, et al.
Published: (2025)
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
by: Chen, Chaochao, et al.
Published: (2024)
by: Chen, Chaochao, et al.
Published: (2024)
Similar Items
-
Demystifying the Optimal Fair Classifier in Multi-Class Classification
by: Zhang, Li, et al.
Published: (2026) -
FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning
by: Zhang, Li, et al.
Published: (2025) -
Bridging the Gap Between Preference Alignment and Machine Unlearning
by: Feng, Xiaohua, et al.
Published: (2025) -
WassFFed: Wasserstein Fair Federated Learning
by: Han, Zhongxuan, et al.
Published: (2024) -
Integration of Large Language Models and Federated Learning
by: Chen, Chaochao, et al.
Published: (2023)