:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jia, Renqi, Zhang, Xiaokun, He, Bowei, Zhu, Qiannan, Xu, Weitao, Chen, Jiehao, Ma, Chen
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2502.08685
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EarDA: Towards Accurate and Data-Efficient Earable Activity Sensing
by: Lyu, Shengzhe, et al.
Published: (2024)

Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
by: Sun, Shengyin, et al.
Published: (2023)

Data Valuation and Selection in a Federated Model Marketplace
by: Li, Wenqian, et al.
Published: (2025)

Federated Recommender System with Data Valuation for E-commerce Platform
by: Park, Jongwon, et al.
Published: (2025)

Is Data Valuation Learnable and Interpretable?
by: Wu, Ou, et al.
Published: (2024)

RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management
by: Chen, Renqi, et al.
Published: (2026)

LiveVal: Time-aware Data Valuation via Adaptive Reference Points
by: Xu, Jie, et al.
Published: (2025)

Fast-DataShapley: Neural Modeling for Training Data Valuation
by: Sun, Haifeng, et al.
Published: (2025)

Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization
by: Sun, Zexu, et al.
Published: (2023)

Injecting Universal Jailbreak Backdoors into LLMs in Minutes
by: Chen, Zhuowei, et al.
Published: (2025)

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks
by: He, Bowei, et al.
Published: (2025)

Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value
by: Ma, Le, et al.
Published: (2025)

S$^2$Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening
by: He, Bowei, et al.
Published: (2025)

Text-to-LoRA: Instant Transformer Adaption
by: Charakorn, Rujikorn, et al.
Published: (2025)

IterIS: Iterative Inference-Solving Alignment for LoRA Merging
by: Chen, Hongxu, et al.
Published: (2024)

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
by: Lai, Song, et al.
Published: (2025)

Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards
by: He, Haoran, et al.
Published: (2025)

Data Valuation and Detections in Federated Learning
by: Li, Wenqian, et al.
Published: (2023)

HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs
by: Chen, Junying, et al.
Published: (2023)

Local Shapley: Model-Induced Locality and Optimal Reuse in Data Valuation
by: Yang, Xuan, et al.
Published: (2026)

An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding
by: Chen, Renqi, et al.
Published: (2024)

Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving
by: Gao, Junxiang, et al.
Published: (2025)

Outcome-Aware Tool Selection for Semantic Routers: Latency-Constrained Learning Without LLM Inference
by: Chen, Huamin, et al.
Published: (2026)

Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
by: Xia, Zhangjie, et al.
Published: (2026)

Layer-Aware Influence for Online Data Valuation Estimation
by: Yang, Ziao, et al.
Published: (2025)

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment
by: Wang, Chaoqi, et al.
Published: (2025)

Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
by: Akujuobi, Uchenna, et al.
Published: (2019)

Frequency-Forcing: From Scaling-as-Time to Soft Frequency Guidance
by: Du, Weitao
Published: (2026)

Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs
by: Zhang, Yifei, et al.
Published: (2024)

Challenges in Enabling Private Data Valuation
by: Fu, Yiwei, et al.
Published: (2026)

Data Valuation for Vertical Federated Learning: A Model-free and Privacy-preserving Method
by: Han, Xiao, et al.
Published: (2021)

Concept-Based Explainable Artificial Intelligence: Metrics and Benchmarks
by: Aysel, Halil Ibrahim, et al.
Published: (2025)

CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph Data Augmentations
by: Zhang, Tianyu, et al.
Published: (2021)

Uncertainty-Aware Explainable Recommendation with Large Language Models
by: Peng, Yicui, et al.
Published: (2024)

A Survey on Diffusion Language Models
by: Li, Tianyi, et al.
Published: (2025)

Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning
by: Wu, Shunyu, et al.
Published: (2025)

Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation
by: He, Bowei, et al.
Published: (2026)

Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering
by: Zhang, Yiqun, et al.
Published: (2026)

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
by: Tian, Xiao, et al.
Published: (2023)

Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
by: Cui, Ziqiang, et al.
Published: (2024)