Saved in:
| Main Authors: | Li, Shiwei, Luo, Xiandi, Wang, Haozhao, Tang, Xing, Cui, Ziqiang, Liu, Dugang, Li, Yuhua, He, Xiuqiang, Li, Ruixuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.23123 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity
by: Li, Shiwei, et al.
Published: (2025)
by: Li, Shiwei, et al.
Published: (2025)
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
by: Li, Shiwei, et al.
Published: (2025)
by: Li, Shiwei, et al.
Published: (2025)
Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
by: Li, Shiwei, et al.
Published: (2025)
by: Li, Shiwei, et al.
Published: (2025)
Masked Random Noise for Communication Efficient Federated Learning
by: Li, Shiwei, et al.
Published: (2024)
by: Li, Shiwei, et al.
Published: (2024)
Nonlinearity as Rank: Generative Low-Rank Adapter with Radial Basis Functions
by: Ouyang, Yihao, et al.
Published: (2026)
by: Ouyang, Yihao, et al.
Published: (2026)
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
by: Li, Shiwei, et al.
Published: (2024)
by: Li, Shiwei, et al.
Published: (2024)
Mixed-Precision Embeddings for Large-Scale Recommendation Models
by: Li, Shiwei, et al.
Published: (2024)
by: Li, Shiwei, et al.
Published: (2024)
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2025)
by: Cui, Ziqiang, et al.
Published: (2025)
Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
by: Tang, Xing, et al.
Published: (2026)
by: Tang, Xing, et al.
Published: (2026)
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
by: Cui, Ziqiang, et al.
Published: (2024)
by: Cui, Ziqiang, et al.
Published: (2024)
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
by: Yang, Chaohua, et al.
Published: (2025)
by: Yang, Chaohua, et al.
Published: (2025)
Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA
by: Tang, Xing, et al.
Published: (2026)
by: Tang, Xing, et al.
Published: (2026)
FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction
by: Zhang, Jun, et al.
Published: (2026)
by: Zhang, Jun, et al.
Published: (2026)
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms
by: Weng, Yunpeng, et al.
Published: (2024)
by: Weng, Yunpeng, et al.
Published: (2024)
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation
by: Tang, Xing, et al.
Published: (2025)
by: Tang, Xing, et al.
Published: (2025)
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
by: Tang, Xing, et al.
Published: (2024)
by: Tang, Xing, et al.
Published: (2024)
FedBiF: Communication-Efficient Federated Learning via Bits Freezing
by: Li, Shiwei, et al.
Published: (2025)
by: Li, Shiwei, et al.
Published: (2025)
GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
by: Liao, Xutao, et al.
Published: (2024)
by: Liao, Xutao, et al.
Published: (2024)
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
by: Sun, Zexu, et al.
Published: (2024)
by: Sun, Zexu, et al.
Published: (2024)
Optimizing Feature Set for Click-Through Rate Prediction
by: Lyu, Fuyuan, et al.
Published: (2023)
by: Lyu, Fuyuan, et al.
Published: (2023)
Less Is More: Elevating RAG via Performance-Driven Context Compression
by: Cui, Ziqiang, et al.
Published: (2025)
by: Cui, Ziqiang, et al.
Published: (2025)
Less is More: Resource-Efficient Low-Rank Adaptation
by: Tian, Chunlin, et al.
Published: (2025)
by: Tian, Chunlin, et al.
Published: (2025)
RaSA: Rank-Sharing Low-Rank Adaptation
by: He, Zhiwei, et al.
Published: (2025)
by: He, Zhiwei, et al.
Published: (2025)
Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
by: Yi, Shuai, et al.
Published: (2025)
by: Yi, Shuai, et al.
Published: (2025)
Benchmarking for Deep Uplift Modeling in Online Marketing
by: Liu, Dugang, et al.
Published: (2024)
by: Liu, Dugang, et al.
Published: (2024)
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
by: Weng, Yunpeng, et al.
Published: (2024)
by: Weng, Yunpeng, et al.
Published: (2024)
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
by: Cui, Ziqiang, et al.
Published: (2024)
by: Cui, Ziqiang, et al.
Published: (2024)
Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2026)
by: Yi, Shuai, et al.
Published: (2026)
Adversarial Attack for Explanation Robustness of Rationalization Models
by: Zhang, Yuankai, et al.
Published: (2024)
by: Zhang, Yuankai, et al.
Published: (2024)
MoR: Mixture of Ranks for Low-Rank Adaptation Tuning
by: Tang, Chuanyu, et al.
Published: (2024)
by: Tang, Chuanyu, et al.
Published: (2024)
Low-Rank Adaptation Redux for Large Models
by: Li, Bingcong, et al.
Published: (2026)
by: Li, Bingcong, et al.
Published: (2026)
The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
by: Liu, Yuhan, et al.
Published: (2025)
by: Liu, Yuhan, et al.
Published: (2025)
The Primacy of Magnitude in Low-Rank Adaptation
by: Zhang, Zicheng, et al.
Published: (2025)
by: Zhang, Zicheng, et al.
Published: (2025)
TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
by: Lin, Tianwei, et al.
Published: (2024)
by: Lin, Tianwei, et al.
Published: (2024)
Towards Efficient Replay in Federated Incremental Learning
by: Li, Yichen, et al.
Published: (2024)
by: Li, Yichen, et al.
Published: (2024)
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
by: Wang, Song, et al.
Published: (2025)
by: Wang, Song, et al.
Published: (2025)
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
by: Li, Shiwei, et al.
Published: (2022)
by: Li, Shiwei, et al.
Published: (2022)
Unbiased Gradient Low-Rank Projection
by: Pan, Rui, et al.
Published: (2025)
by: Pan, Rui, et al.
Published: (2025)
Noisy Low Rank Column-wise Sensing
by: Singh, Ankit Pratap, et al.
Published: (2024)
by: Singh, Ankit Pratap, et al.
Published: (2024)
OSoRA: Output-Dimension and Singular-Value Initialized Low-Rank Adaptation
by: Han, Jialong, et al.
Published: (2025)
by: Han, Jialong, et al.
Published: (2025)
Similar Items
-
BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity
by: Li, Shiwei, et al.
Published: (2025) -
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
by: Li, Shiwei, et al.
Published: (2025) -
Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
by: Li, Shiwei, et al.
Published: (2025) -
Masked Random Noise for Communication Efficient Federated Learning
by: Li, Shiwei, et al.
Published: (2024) -
Nonlinearity as Rank: Generative Low-Rank Adapter with Radial Basis Functions
by: Ouyang, Yihao, et al.
Published: (2026)