Saved in:
| Main Authors: | Zou, Henry Peng, Huang, Wei-Chieh, Wu, Yaozu, Guo, Jizhou, Chen, Yankai, Miao, Chunyu, Nguyen, Hoang, Zhou, Yue, Zhang, Weizhi, Fang, Liancheng, Zhang, Hanrong, Wang, Fangxin, Zhang, Pengfei, Wang, Huacan, He, Langzhou, Li, Yangning, Li, Dongyuan, Jiang, Renhe, Liu, Xue, Yu, Philip S. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.00753 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety
by: Huang, Wei-Chieh, et al.
Published: (2025)
by: Huang, Wei-Chieh, et al.
Published: (2025)
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy
by: Zou, Henry Peng, et al.
Published: (2025)
by: Zou, Henry Peng, et al.
Published: (2025)
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances
by: Wu, Yaozu, et al.
Published: (2025)
by: Wu, Yaozu, et al.
Published: (2025)
PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents
by: Wu, Yaozu, et al.
Published: (2025)
by: Wu, Yaozu, et al.
Published: (2025)
When Users Change Their Mind: Evaluating Interruptible Agents in Long-Horizon Web Navigation
by: Zou, Henry Peng, et al.
Published: (2026)
by: Zou, Henry Peng, et al.
Published: (2026)
Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
by: Chen, Yankai, et al.
Published: (2025)
by: Chen, Yankai, et al.
Published: (2025)
Node Role-Guided LLMs for Dynamic Graph Clustering
by: Li, Dongyuan, et al.
Published: (2026)
by: Li, Dongyuan, et al.
Published: (2026)
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
by: Li, Yangning, et al.
Published: (2025)
by: Li, Yangning, et al.
Published: (2025)
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency
by: Zou, Henry Peng, et al.
Published: (2025)
by: Zou, Henry Peng, et al.
Published: (2025)
Diffusion Models in 3D Vision: A Survey
by: Wang, Zhen, et al.
Published: (2024)
by: Wang, Zhen, et al.
Published: (2024)
A Survey on Deep Active Learning: Recent Advances and New Frontiers
by: Li, Dongyuan, et al.
Published: (2024)
by: Li, Dongyuan, et al.
Published: (2024)
RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback
by: Miao, Chunyu, et al.
Published: (2025)
by: Miao, Chunyu, et al.
Published: (2025)
Filter-then-Weight: Online Data Selection and Reweighting for LLM Fine-Tuning
by: Wang, Fangxin, et al.
Published: (2026)
by: Wang, Fangxin, et al.
Published: (2026)
Locally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language Models
by: Fang, Liancheng, et al.
Published: (2026)
by: Fang, Liancheng, et al.
Published: (2026)
TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation
by: Fang, Liancheng, et al.
Published: (2025)
by: Fang, Liancheng, et al.
Published: (2025)
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
by: Wu, Zhaofen, et al.
Published: (2026)
by: Wu, Zhaofen, et al.
Published: (2026)
Community-Invariant Graph Contrastive Learning
by: Tan, Shiyin, et al.
Published: (2024)
by: Tan, Shiyin, et al.
Published: (2024)
MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection
by: Fang, Liancheng, et al.
Published: (2025)
by: Fang, Liancheng, et al.
Published: (2025)
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
by: Zhang, Weizhi, et al.
Published: (2024)
by: Zhang, Weizhi, et al.
Published: (2024)
Scaling Laws for Many-Shot In-Context Learning with Self-Generated Annotations
by: Gu, Zhengyao, et al.
Published: (2025)
by: Gu, Zhengyao, et al.
Published: (2025)
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
by: Zhang, Weizhi, et al.
Published: (2025)
by: Zhang, Weizhi, et al.
Published: (2025)
CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification
by: Zhang, Hanrong, et al.
Published: (2026)
by: Zhang, Hanrong, et al.
Published: (2026)
Revisiting Dynamic Graph Clustering via Matrix Factorization
by: Li, Dongyuan, et al.
Published: (2025)
by: Li, Dongyuan, et al.
Published: (2025)
Distributionally Robust Set Representation Learning Under Inference-Time Element Corruption
by: Chen, Yankai, et al.
Published: (2026)
by: Chen, Yankai, et al.
Published: (2026)
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction
by: Zou, Henry Peng, et al.
Published: (2024)
by: Zou, Henry Peng, et al.
Published: (2024)
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
by: Tan, Shiyin, et al.
Published: (2025)
by: Tan, Shiyin, et al.
Published: (2025)
Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition
by: Li, Dongyuan, et al.
Published: (2026)
by: Li, Dongyuan, et al.
Published: (2026)
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization
by: Tan, Shiyin, et al.
Published: (2025)
by: Tan, Shiyin, et al.
Published: (2025)
Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning
by: Li, Yangning, et al.
Published: (2025)
by: Li, Yangning, et al.
Published: (2025)
Event-Aware Prompt Learning for Dynamic Graphs
by: Yu, Xingtong, et al.
Published: (2025)
by: Yu, Xingtong, et al.
Published: (2025)
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
by: Li, Dongyuan, et al.
Published: (2024)
by: Li, Dongyuan, et al.
Published: (2024)
League: Leaderboard Generation on Demand
by: Wu, Jian, et al.
Published: (2025)
by: Wu, Jian, et al.
Published: (2025)
MANSY: Generalizing Neural Adaptive Immersive Video Streaming With Ensemble and Representation Learning
by: Wu, Duo, et al.
Published: (2023)
by: Wu, Duo, et al.
Published: (2023)
TodyComm: Task-Oriented Dynamic Communication for Multi-Round LLM-based Multi-Agent System
by: Fan, Wenzhe, et al.
Published: (2026)
by: Fan, Wenzhe, et al.
Published: (2026)
Iterative Formalization and Planning in Partially Observable Environments
by: Gong, Liancheng, et al.
Published: (2025)
by: Gong, Liancheng, et al.
Published: (2025)
Can Molecular Foundation Models Know What They Don't Know? A Simple Remedy with Preference Optimization
by: He, Langzhou, et al.
Published: (2025)
by: He, Langzhou, et al.
Published: (2025)
TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models
by: Zhang, Liancheng, et al.
Published: (2026)
by: Zhang, Liancheng, et al.
Published: (2026)
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey
by: Huang, Wei-Chieh, et al.
Published: (2026)
by: Huang, Wei-Chieh, et al.
Published: (2026)
TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning
by: Liu, Hangchen, et al.
Published: (2026)
by: Liu, Hangchen, et al.
Published: (2026)
Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation
by: Zheng, Kening, et al.
Published: (2026)
by: Zheng, Kening, et al.
Published: (2026)
Similar Items
-
Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety
by: Huang, Wei-Chieh, et al.
Published: (2025) -
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy
by: Zou, Henry Peng, et al.
Published: (2025) -
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances
by: Wu, Yaozu, et al.
Published: (2025) -
PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents
by: Wu, Yaozu, et al.
Published: (2025) -
When Users Change Their Mind: Evaluating Interruptible Agents in Long-Horizon Web Navigation
by: Zou, Henry Peng, et al.
Published: (2026)