Saved in:
| Main Authors: | Cao, Xiaofeng, Xu, Mingwei, Yu, Xin, Yao, Jiangchao, Ye, Wei, Huang, Shengjun, Zhang, Minling, Tsang, Ivor W., Ong, Yew Soon, Kwok, James T., Shen, Heng Tao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.08962 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
by: He, Xin, et al.
Published: (2025)
by: He, Xin, et al.
Published: (2025)
Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
by: Tan, Kim Yong, et al.
Published: (2026)
by: Tan, Kim Yong, et al.
Published: (2026)
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
by: Wang, Xuanqian, et al.
Published: (2024)
by: Wang, Xuanqian, et al.
Published: (2024)
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)
by: Tan, Kim Yong, et al.
Published: (2025)
Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)
by: Tan, Kim Yong, et al.
Published: (2025)
Policy Dispersion in Non-Markovian Environment
by: Qu, Bohao, et al.
Published: (2023)
by: Qu, Bohao, et al.
Published: (2023)
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation
by: Lyu, Yueming, et al.
Published: (2024)
by: Lyu, Yueming, et al.
Published: (2024)
RouteMark: A Fingerprint for Intellectual Property Attribution in Routing-based Model Merging
by: He, Xin, et al.
Published: (2025)
by: He, Xin, et al.
Published: (2025)
Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration
by: Zheng, Chengqi, et al.
Published: (2025)
by: Zheng, Chengqi, et al.
Published: (2025)
LLM Agents Make Collective Belief Dynamics Programmable: Challenges and Research Directions
by: He, Xin, et al.
Published: (2026)
by: He, Xin, et al.
Published: (2026)
An Empirical Analysis of VLM-based OOD Detection: Mechanisms, Advantages, and Sensitivity
by: Lee, Yuxiao, et al.
Published: (2025)
by: Lee, Yuxiao, et al.
Published: (2025)
Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
by: Wan, Zhenglin, et al.
Published: (2024)
by: Wan, Zhenglin, et al.
Published: (2024)
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF
by: Fan, Flint Xiaofeng, et al.
Published: (2024)
by: Fan, Flint Xiaofeng, et al.
Published: (2024)
Agentic Spatio-Temporal Grounding via Collaborative Reasoning
by: Zhao, Heng, et al.
Published: (2026)
by: Zhao, Heng, et al.
Published: (2026)
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization
by: Ye, Feiyang, et al.
Published: (2024)
by: Ye, Feiyang, et al.
Published: (2024)
Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs
by: Fan, Flint Xiaofeng, et al.
Published: (2025)
by: Fan, Flint Xiaofeng, et al.
Published: (2025)
Information Fidelity in Tool-Using LLM Agents: A Martingale Analysis of the Model Context Protocol
by: Fan, Flint Xiaofeng, et al.
Published: (2026)
by: Fan, Flint Xiaofeng, et al.
Published: (2026)
MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming
by: Zheng, Chengqi, et al.
Published: (2025)
by: Zheng, Chengqi, et al.
Published: (2025)
Diversified Batch Selection for Training Acceleration
by: Hong, Feng, et al.
Published: (2024)
by: Hong, Feng, et al.
Published: (2024)
Decouple before Align: Visual Disentanglement Enhances Prompt Tuning
by: Zhang, Fei, et al.
Published: (2025)
by: Zhang, Fei, et al.
Published: (2025)
Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization
by: Liu, Shengcai, et al.
Published: (2024)
by: Liu, Shengcai, et al.
Published: (2024)
Possibilistic Predictive Uncertainty for Deep Learning
by: Ni, Yao, et al.
Published: (2026)
by: Ni, Yao, et al.
Published: (2026)
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection
by: Zhu, Jiawen, et al.
Published: (2024)
by: Zhu, Jiawen, et al.
Published: (2024)
Evolutionary Computation as Natural Generative AI
by: Shi, Yaxin, et al.
Published: (2025)
by: Shi, Yaxin, et al.
Published: (2025)
Hybrid Memetic Search for Electric Vehicle Routing with Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges
by: Zheng, Zubin, et al.
Published: (2024)
by: Zheng, Zubin, et al.
Published: (2024)
Automated Large-scale CVRP Solver Design via LLM-assisted Flexible MCTS
by: Guo, Tong, et al.
Published: (2026)
by: Guo, Tong, et al.
Published: (2026)
EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics
by: Xu, Meng, et al.
Published: (2025)
by: Xu, Meng, et al.
Published: (2025)
Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization
by: Liu, Jiao, et al.
Published: (2023)
by: Liu, Jiao, et al.
Published: (2023)
Finding Sets of Pareto Sets in Real-World Scenarios -- A Multitask Multiobjective Perspective
by: Liu, Jiao, et al.
Published: (2026)
by: Liu, Jiao, et al.
Published: (2026)
Multi-Task Learning with Multi-Task Optimization
by: Bai, Lu, et al.
Published: (2024)
by: Bai, Lu, et al.
Published: (2024)
ExpertFlow: Efficient Mixture-of-Experts Inference via Predictive Expert Caching and Token Scheduling
by: He, Xin, et al.
Published: (2024)
by: He, Xin, et al.
Published: (2024)
Dynamic-Aware Video Distillation: Optimizing Temporal Resolution Based on Video Semantics
by: Zhao, Yinjie, et al.
Published: (2025)
by: Zhao, Yinjie, et al.
Published: (2025)
Video Set Distillation: Information Diversification and Temporal Densification
by: Zhao, Yinjie, et al.
Published: (2024)
by: Zhao, Yinjie, et al.
Published: (2024)
The Digital Ecosystem of Beliefs: does evolution favour AI over humans?
by: Bossens, David M., et al.
Published: (2024)
by: Bossens, David M., et al.
Published: (2024)
A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
by: Wei, Zhao, et al.
Published: (2025)
by: Wei, Zhao, et al.
Published: (2025)
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
by: Cao, Yue, et al.
Published: (2023)
by: Cao, Yue, et al.
Published: (2023)
An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems
by: Zhang, Ni, et al.
Published: (2025)
by: Zhang, Ni, et al.
Published: (2025)
Context-Adaptive Graph Neural Networks for Next POI Recommendation
by: Lei, Yu, et al.
Published: (2025)
by: Lei, Yu, et al.
Published: (2025)
LawMind: A Law-Driven Paradigm for Discovering Analytical Solutions to Partial Differential Equations
by: Zheng, Min-Yi, et al.
Published: (2026)
by: Zheng, Min-Yi, et al.
Published: (2026)
SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction in Multi-objective Neural Architecture Search
by: Zhou, Yuyang, et al.
Published: (2025)
by: Zhou, Yuyang, et al.
Published: (2025)
Similar Items
-
Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
by: He, Xin, et al.
Published: (2025) -
Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
by: Tan, Kim Yong, et al.
Published: (2026) -
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
by: Wang, Xuanqian, et al.
Published: (2024) -
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
by: Tan, Kim Yong, et al.
Published: (2025) -
Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
by: Tan, Kim Yong, et al.
Published: (2025)