:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ding, Zihan, Yang, Ziyuan, Zhang, Yi
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.02939
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PrismAgent: Illuminating Harm in Memes via a Zero-Shot Interpretable Multi-Agent Framework
by: Ding, Zihan, et al.
Published: (2026)

Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders
by: Lei, Zhuxin, et al.
Published: (2026)

A Discordance-Aware Multimodal Framework with Multi-Agent Clinical Reasoning
by: Ahadian, Pegah, et al.
Published: (2026)

FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
by: Li, Wenzhe, et al.
Published: (2024)

Toward a Graph Foundation Model: Pre-Training Transformers With Random Walks
by: Tang, Ziyuan, et al.
Published: (2025)

From Bits to Boardrooms: A Cutting-Edge Multi-Agent LLM Framework for Business Excellence
by: Wang, Zihao, et al.
Published: (2025)

TED: Training-Free Experience Distillation for Multimodal Reasoning
by: Yuan, Shuozhi, et al.
Published: (2026)

TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
by: Xia, Mingyuan, et al.
Published: (2025)

From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning
by: Yoa, Seungdong, et al.
Published: (2026)

EvoNash-MARL: A Closed-Loop Multi-Agent Reinforcement Learning Framework for Medium-Horizon Equity Allocation
by: Jia, Chongliu, et al.
Published: (2026)

PD$^3$: A Project Duplication Detection Framework via Adapted Multi-Agent Debate
by: Bao, Dezheng, et al.
Published: (2025)

AKG kernel Agent: A Multi-Agent Framework for Cross-Platform Kernel Synthesis
by: Du, Jinye, et al.
Published: (2025)

Multi-Agent Debate: A Unified Agentic Framework for Tabular Anomaly Detection
by: Wang, Pinqiao, et al.
Published: (2026)

A Unified Multi-Agent Framework for Universal Multimodal Understanding and Generation
by: Li, Jiulin, et al.
Published: (2025)

FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
by: Zhao, Yunfeng, et al.
Published: (2025)

Towards General Computer Control with Hierarchical Agents and Multi-Level Action Spaces
by: Dong, Zihan, et al.
Published: (2025)

Single-stream Policy Optimization
by: Xu, Zhongwen, et al.
Published: (2025)

From Static to Adaptive Defense: Federated Multi-Agent Deep Reinforcement Learning-Driven Moving Target Defense Against DoS Attacks in UAV Swarm Networks
by: Zhou, Yuyang, et al.
Published: (2025)

Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning
by: Galliera, Raffaele, et al.
Published: (2023)

Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection
by: Zhou, Weilin, et al.
Published: (2025)

Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training
by: Xu, Jie, et al.
Published: (2025)

Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models
by: Ding, Zeyang, et al.
Published: (2026)

IKDiffuser: a Diffusion-based Generative Inverse Kinematics Solver for Kinematic Trees
by: Zhang, Zeyu, et al.
Published: (2025)

MALT: Improving Reasoning with Multi-Agent LLM Training
by: Motwani, Sumeet Ramesh, et al.
Published: (2024)

Agent Lightning: Train ANY AI Agents with Reinforcement Learning
by: Luo, Xufang, et al.
Published: (2025)

PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2022)

Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference
by: Yi, Ke, et al.
Published: (2024)

SCORE: Syntactic Code Representations for Static Script Malware Detection
by: Erdemir, Ecenaz, et al.
Published: (2024)

Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
by: Kazoom, Roie, et al.
Published: (2025)

Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning
by: Ding, Zihan, et al.
Published: (2024)

Active Asymmetric Multi-Agent Multimodal Learning under Uncertainty
by: Liu, Rui, et al.
Published: (2026)

AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models
by: Tang, Zhiqiang, et al.
Published: (2024)

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors
by: Feng, Lang, et al.
Published: (2025)

ARM: Role-Conditioned Neuron Transplantation for Training-Free Generalist LLM Agent Merging
by: Feng, Zhuoka, et al.
Published: (2026)

A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data
by: Chen, Junlan, et al.
Published: (2024)

The Paradox of Outcome Optimization: A Causal Information-Theoretic Bound on Reasoning Shortcuts in LLMs
by: Chen, Zihan, et al.
Published: (2026)

MASP: Scalable GNN-based Planning for Multi-Agent Navigation
by: Yang, Xinyi, et al.
Published: (2023)

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents
by: Li, Guankai, et al.
Published: (2026)

TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework
by: Ouyang, Jinhui, et al.
Published: (2024)

Learning to Remember: End-to-End Training of Memory Agents for Long-Context Reasoning
by: Zhang, Kehao, et al.
Published: (2026)