:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yi, Long, Yushen, Ni, Yun, Huang, Liping, Wang, Xiaohong, Liu, Jun
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.10644
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems
by: Liu, Haichao, et al.
Published: (2025)

HTPO: Towards Exploration-Exploitation Balanced Policy Optimization via Hierarchical Token-level Objective Control
by: Yao, Xincheng, et al.
Published: (2026)

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization
by: Qi, Biqing, et al.
Published: (2024)

MORSE: Multi-Objective Reinforcement Learning via Strategy Evolution for Supply Chain Optimization
by: Kotecha, Niki, et al.
Published: (2025)

NMR-Solver: Automated Structure Elucidation via Large-Scale Spectral Matching and Physics-Guided Fragment Optimization
by: Jin, Yongqi, et al.
Published: (2025)

Towards Objective and Unbiased Decision Assessments with LLM-Enhanced Hierarchical Attention Networks
by: Liu, Junhua, et al.
Published: (2024)

Astra: Toward General-Purpose Mobile Robots via Hierarchical Multimodal Learning
by: Chen, Sheng, et al.
Published: (2025)

RAPO: Expanding Exploration for LLM Agents via Retrieval-Augmented Policy Optimization
by: Zhang, Siwei, et al.
Published: (2026)

ParetoFlow: Guided Flows in Multi-Objective Optimization
by: Yuan, Ye, et al.
Published: (2024)

Contextual Multi-Objective Optimization: Rethinking Objectives in Frontier AI Systems
by: Zhou, Jie, et al.
Published: (2026)

Hierarchical Testing with Rabbit Optimization for Industrial Cyber-Physical Systems
by: Hu, Jinwei, et al.
Published: (2025)

Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization
by: Yu, Jiajun, et al.
Published: (2025)

SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents
by: Lin, Jiaye, et al.
Published: (2025)

In-Context Multi-Objective Optimization
by: Zhang, Xinyu, et al.
Published: (2025)

Sample-Efficient Reinforcement Learning with Temporal Logic Objectives: Leveraging the Task Specification to Guide Exploration
by: Kantaros, Yiannis, et al.
Published: (2024)

Preference-Guided Diffusion for Multi-Objective Offline Optimization
by: Annadani, Yashas, et al.
Published: (2025)

MALBO: Optimizing LLM-Based Multi-Agent Teams via Multi-Objective Bayesian Optimization
by: Sabbatella, Antonio
Published: (2025)

MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment
by: Huang, Hanxian, et al.
Published: (2026)

Deconstructing Spatial Complexity: Hierarchical Decomposition for LLM Spatial Reasoning
by: Wang, Yi, et al.
Published: (2026)

Efficient Real-Time Aircraft ETA Prediction via Feature Tokenization Transformer
by: Huang, Liping, et al.
Published: (2025)

Who Judges the Judge? LLM Jury-on-Demand: Building Trustworthy LLM Evaluation Systems
by: Li, Xiaochuan, et al.
Published: (2025)

NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge
by: Zhu, Hanyu, et al.
Published: (2025)

MobileExplorer: Accelerating On-Device Inference for Mobile GUI Agents via Online Exploration
by: Huang, Runxi, et al.
Published: (2026)

THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning
by: Chang, Qikai, et al.
Published: (2025)

OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling
by: Liu, Haoyang, et al.
Published: (2025)

MNN-AECS: Energy Optimization for LLM Decoding on Mobile Devices via Adaptive Core Selection
by: Huang, Zhengxiang, et al.
Published: (2025)

Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandit
by: Huang, Tian, et al.
Published: (2023)

Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
by: Duan, Shaohua, et al.
Published: (2025)

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems
by: Qi, Shihao, et al.
Published: (2026)

Zero-Shot Human Mobility Forecasting via Large Language Model with Hierarchical Reasoning
by: Li, Wenyao, et al.
Published: (2025)

Hi-Agent: Hierarchical Vision-Language Agents for Mobile Device Control
by: Wu, Zhe, et al.
Published: (2025)

TCP-MCP: Landscape-Guided Co-Evolution of Prompts and Communication Topologies for Multi-Agent Systems
by: Ding, Yi, et al.
Published: (2026)

Emotional Cognitive Modeling Framework with Desire-Driven Objective Optimization for LLM-empowered Agent in Social Simulation
by: Ma, Qun, et al.
Published: (2025)

Generative Sequential Notification Optimization via Multi-Objective Decision Transformers
by: Ocejo, Borja, et al.
Published: (2025)

Beyond Sharp Minima: Robust LLM Unlearning via Feedback-Guided Multi-Point Optimization
by: Wu, Wenhan, et al.
Published: (2025)

LLM-Guided Prompt Evolution for Password Guessing
by: Mazin, Vladimir A., et al.
Published: (2026)

Evidence-Gated LLM Priors for Multi-Objective Bayesian Optimization
by: Chen, Jiangyu, et al.
Published: (2026)

LLM Agent for Hyper-Parameter Optimization
by: Wang, Wanzhe, et al.
Published: (2025)

Verification-Guided Context Optimization for Tool Calling via Hierarchical LLMs-as-Editors
by: Li, Henger, et al.
Published: (2025)

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems
by: Tang, Heng, et al.
Published: (2025)