:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Qiang, Wu, Zhongze, He, Ang, Lin, Xi, Jiang, Shuo, You, Shan, Xu, Chang, Chen, Yi, Su, Xiu
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.19479
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LEGATO: Good Identity Unlearning Is Continuous
by: Chen, Qiang, et al.
Published: (2026)

DeCoP: Enhancing Self-Supervised Time Series Representation with Dependency Controlled Pre-training
by: Wu, Yuemin, et al.
Published: (2025)

On Negative-aware Preference Optimization for Recommendation
by: Ding, Chenlu, et al.
Published: (2025)

Adaptive Training Meets Progressive Scaling: Elevating Efficiency in Diffusion Models
by: Li, Wenhao, et al.
Published: (2023)

Decoupled Video Generation with Chain of Training-free Diffusion Model Experts
by: Li, Wenhao, et al.
Published: (2024)

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
by: Zhang, Ruiqi, et al.
Published: (2024)

Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
by: Fan, Chongyu, et al.
Published: (2024)

Unlearning of Knowledge Graph Embedding via Preference Optimization
by: Liu, Jiajun, et al.
Published: (2025)

NoT: Federated Unlearning via Weight Negation
by: Khalil, Yasser H., et al.
Published: (2025)

Identify, Isolate, and Purge: Mitigating Hallucinations in LVLMs via Self-Evolving Distillation
by: Li, Wenhao, et al.
Published: (2025)

When Box Meets Graph Neural Network in Tag-aware Recommendation
by: Lin, Fake, et al.
Published: (2024)

VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model
by: Li, Wenhao, et al.
Published: (2026)

Users as Annotators: LLM Preference Learning from Comparison Mode
by: Cai, Zhongze, et al.
Published: (2025)

Detect by Yourself: Self-Designing Agentic Workflows for Few-Shot Graph Anomaly Detection
by: Huang, Tairan, et al.
Published: (2026)

Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning
by: Qin, Kai, et al.
Published: (2025)

Vortex-Enhanced Zitterbewegung in Relativistic Electron Wave Packets
by: Guo, Zhongze, et al.
Published: (2025)

Spin-Orbit Structure and Helicity Anomaly in Relativistic Electron Vortex Beams
by: Guo, Zhongze, et al.
Published: (2025)

Out-of-distribution Robust Optimization
by: Cai, Zhongze, et al.
Published: (2024)

Disentangled Modeling of Preferences and Social Influence for Group Recommendation
by: Ye, Guangze, et al.
Published: (2025)

NACNet: A Histology Context-aware Transformer Graph Convolution Network for Predicting Treatment Response to Neoadjuvant Chemotherapy in Triple Negative Breast Cancer
by: Li, Qiang, et al.
Published: (2024)

FairGU: Fairness-aware Graph Unlearning in Social Networks
by: Luo, Renqiang, et al.
Published: (2026)

DA-DPO: Cost-efficient Difficulty-aware Preference Optimization for Reducing MLLM Hallucinations
by: Qiu, Longtian, et al.
Published: (2026)

MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative Samples
by: Xie, Shuo, et al.
Published: (2024)

CATNIP: LLM Unlearning via Calibrated and Tokenized Negative Preference Alignment
by: Yang, Zhengbang, et al.
Published: (2026)

Towards Fine-grained Renal Vasculature Segmentation: Full-Scale Hierarchical Learning with FH-Seg
by: Long, Yitian, et al.
Published: (2025)

ForPKG: A Framework for Constructing Forestry Policy Knowledge Graph and Application Analysis
by: Sun, Jingyun, et al.
Published: (2024)

Tools as Continuous Flow for Evolving Agentic Reasoning
by: Huang, Tairan, et al.
Published: (2026)

Embedding-perturbed Exploration Preference Optimization for Flow Models
by: Hu, Sujie, et al.
Published: (2026)

Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative Mining
by: Liu, Chenxi, et al.
Published: (2025)

Efficient Machine Unlearning via Influence Approximation
by: Liu, Jiawei, et al.
Published: (2025)

Improving Code Translation with Syntax-Guided and Semantic-aware Preference Optimization
by: Wu, Yuhan, et al.
Published: (2026)

CiPO: Counterfactual Unlearning for Large Reasoning Models through Iterative Preference Optimization
by: Li, Junyi, et al.
Published: (2026)

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization
by: Liu, Zhuohan, et al.
Published: (2026)

Broadband Negative Photoconductive Response in Carbon Nanodots
by: Jin‐Xu Qin, et al.
Published: (2024)

Less is More: Adaptive Program Repair with Bug Localization and Preference Learning
by: Dai, Zhenlong, et al.
Published: (2025)

Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning
by: Chen, Junkai, et al.
Published: (2026)

TPMM-DPO: Trajectory-aware Preference-guided Model Merging for Iterative Direct Preference Optimization
by: Fu, Lingling, et al.
Published: (2026)

Importance Sampling for Multi-Negative Multimodal Direct Preference Optimization
by: Li, Xintong, et al.
Published: (2025)

Sentinel-VLA: A Metacognitive VLA Model with Active Status Monitoring for Dynamic Reasoning and Error Recovery
by: Li, Wenhao, et al.
Published: (2026)

Iterative Optimization Annotation Pipeline and ALSS-YOLO-Seg for Efficient Banana Plantation Segmentation in UAV Imagery
by: He, Ang, et al.
Published: (2024)