:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Kuan, Chai, Chengliang, Xu, Jingzhe, Zhang, Chi, Han, Han, Yuan, Ye, Wang, Guoren, Cao, Lei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2505.00812
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models
by: Zhang, Chi, et al.
Published: (2024)

Not All Instances Are Equally Valuable: Towards Influence-Weighted Dataset Distillation
by: Deng, Qiyan, et al.
Published: (2025)

Not All Documents Are What You Need for Extracting Instruction Tuning Data
by: Zhang, Chi, et al.
Published: (2025)

On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD
by: Zhang, Tongcheng, et al.
Published: (2026)

QUEST: Query Optimization in Unstructured Document Analysis
by: Sun, Zhaoze, et al.
Published: (2025)

VADE: Variance-Aware Dynamic Sampling via Online Sample-Level Difficulty Estimation for Multimodal RL
by: Hu, Zengjie, et al.
Published: (2025)

DiagramRAG: A Lightweight Framework to Retrieve Scientific Diagram for Figure Generation
by: Yu, Xinjiang, et al.
Published: (2026)

Estimating Difficulty Levels of Programming Problems with Pre-trained Model
by: Wang, Zhiyuan, et al.
Published: (2024)

Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation
by: Wang, Ziyue, et al.
Published: (2024)

Utilizing Earth Foundation Models to Enhance the Simulation Performance of Hydrological Models with AlphaEarth Embeddings
by: Qu, Pengfei, et al.
Published: (2026)

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models
by: Hao, Yifan, et al.
Published: (2025)

Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
by: Yuan, Bo, et al.
Published: (2025)

Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning
by: Hu, Chengpeng, et al.
Published: (2025)

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark
by: Kim, Suyeon, et al.
Published: (2025)

Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models
by: Sui, Yuan, et al.
Published: (2025)

Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation
by: Chi, Ruting, et al.
Published: (2024)

Tackling the Inherent Difficulty of Noise Filtering in RAG
by: Liu, Jingyu, et al.
Published: (2026)

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model
by: Li, Rongqing, et al.
Published: (2024)

Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions
by: Ma, Tianhao, et al.
Published: (2024)

Digital Twin-Driven Zero-Shot Fault Diagnosis of Axial Piston Pumps Using Fluid-Borne Noise Signals
by: Dong, Chang, et al.
Published: (2025)

Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition
by: Wei, Xiaolei, et al.
Published: (2025)

When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF
by: Xu, Yifan, et al.
Published: (2025)

Difficulty-Estimated Policy Optimization
by: Zhao, Yu, et al.
Published: (2026)

ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling
by: Zhang, Lingxi, et al.
Published: (2024)

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
by: Wang, Yajing, et al.
Published: (2024)

DART: Difficulty-Adaptive Reasoning Truncation for Efficient Large Language Models
by: Zhang, Ruofan, et al.
Published: (2025)

Opt-Verifier: Unleashing the Power of LLMs for Optimization Modeling via Dual-Side Verification
by: Liu, Haoyang, et al.
Published: (2026)

NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding
by: Jin, Hyundong, et al.
Published: (2026)

ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models
by: Hsiao, Chi-Yuan, et al.
Published: (2026)

Robot Task Planning and Situation Handling in Open Worlds
by: Ding, Yan, et al.
Published: (2022)

Decision-Level Ordinal Modeling for Multimodal Essay Scoring with Large Language Models
by: Zhang, Han, et al.
Published: (2026)

Dual Alignment Maximin Optimization for Offline Model-based RL
by: Zhou, Chi, et al.
Published: (2025)

Relative Policy-Transition Optimization for Fast Policy Transfer
by: Xu, Jiawei, et al.
Published: (2022)

Detecting Scarce and Sparse Anomalous: Solving Dual Imbalance in Multi-Instance Learning
by: Jia, Lin-Han, et al.
Published: (2025)

REG: A Regularization Optimizer for Robust Training Dynamics
by: Liu, Zehua, et al.
Published: (2025)

MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation
by: Zhang, Rongyu, et al.
Published: (2025)

MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning
by: Wang, Xukai, et al.
Published: (2025)

Code Retrieval for MILP Instance Generation
by: Yang, Tianxing, et al.
Published: (2025)

Revisiting Generalization Across Difficulty Levels: It's Not So Easy
by: Kordi, Yeganeh, et al.
Published: (2025)

Scaling Law for Time Series Forecasting
by: Shi, Jingzhe, et al.
Published: (2024)