:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mao, Yuren, Mi, Yu, Liu, Peigen, Zhang, Mengfei, Liu, Hanqing, Gao, Yunjun
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2504.04698
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering
by: Mao, Yuren, et al.
Published: (2025)

Text-to-Pipeline: Bridging Natural Language and Data Preparation Pipelines
by: Ge, Yuhang, et al.
Published: (2025)

Can We Predict Before Executing Machine Learning Agents?
by: Zheng, Jingsheng, et al.
Published: (2026)

A Survey on LoRA of Large Language Models
by: Mao, Yuren, et al.
Published: (2024)

FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis
by: Zhang, Chao, et al.
Published: (2024)

G-Boost: Boosting Private SLMs with General LLMs
by: Fan, Yijiang, et al.
Published: (2025)

FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
by: Mao, Yuren, et al.
Published: (2024)

AutoMind: Adaptive Knowledgeable Agent for Automated Data Science
by: Ou, Yixin, et al.
Published: (2025)

DAgent: A Relational Database-Driven Data Analysis Report Generation Agent
by: Xu, Wenyi, et al.
Published: (2025)

Automatically Benchmarking LLM Code Agents through Agent-Driven Annotation and Evaluation
by: Fu, Lingyue, et al.
Published: (2025)

Verified Critical Step Optimization for LLM Agents
by: Li, Mukai, et al.
Published: (2026)

Emergent Convergence in Multi-Agent LLM Annotation
by: Parfenova, Angelina, et al.
Published: (2025)

Single-Cell Omics Arena: A Benchmark Study for Large Language Models on Cell Type Annotation Using Single-Cell Data
by: Liu, Junhao, et al.
Published: (2024)

AgentSquare: Automatic LLM Agent Search in Modular Design Space
by: Shang, Yu, et al.
Published: (2024)

SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation
by: Li, Jiahui, et al.
Published: (2025)

User Preference Modeling for Conversational LLM Agents: Weak Rewards from Retrieval-Augmented Interaction
by: Hao, Yuren, et al.
Published: (2026)

Stop Fixating on Prompts: Reasoning Hijacking and Constraint Tightening for Red-Teaming LLM Agents
by: Mao, Yanxu, et al.
Published: (2026)

An LLM Agent-Based Complex Semantic Table Annotation Approach
by: Geng, Yilin, et al.
Published: (2025)

SkillMAS: Skill Co-Evolution with LLM-based Multi-Agent System
by: Pan, Shuai, et al.
Published: (2026)

OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence
by: Liu, Peigen, et al.
Published: (2026)

AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
by: Wang, Zhexuan, et al.
Published: (2025)

LLM-Oriented Retrieval Tuner
by: Sun, Si, et al.
Published: (2024)

Adapting LLM Agents with Universal Feedback in Communication
by: Wang, Kuan, et al.
Published: (2023)

Simulating Classroom Education with LLM-Empowered Agents
by: Zhang, Zheyuan, et al.
Published: (2024)

Agent Laboratory: Using LLM Agents as Research Assistants
by: Schmidgall, Samuel, et al.
Published: (2025)

MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments
by: Gao, Yicheng, et al.
Published: (2026)

SparDL: Distributed Deep Learning Training with Efficient Sparse Communication
by: Zhao, Minjun, et al.
Published: (2023)

Agent-Kernel: A MicroKernel Multi-Agent System Framework for Adaptive Social Simulation Powered by LLMs
by: Mao, Yuren, et al.
Published: (2025)

AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials
by: Xu, Yiheng, et al.
Published: (2024)

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration
by: Liu, Zijun, et al.
Published: (2023)

AgentSwift: Efficient LLM Agent Design via Value-guided Hierarchical Search
by: Li, Yu, et al.
Published: (2025)

AgentHallu: Benchmarking Automated Hallucination Attribution of LLM-based Agents
by: Liu, Xuannan, et al.
Published: (2026)

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation
by: Yu, Ye, et al.
Published: (2026)

The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration
by: Xu, Haoyuan, et al.
Published: (2026)

AgentCollab: A Self-Evaluation-Driven Collaboration Paradigm for Efficient LLM Agents
by: Gao, Wenbo, et al.
Published: (2026)

MedAide: Information Fusion and Anatomy of Medical Intents via LLM-based Agent Collaboration
by: Yang, Dingkang, et al.
Published: (2024)

SELAUR: Self Evolving LLM Agent via Uncertainty-aware Rewards
by: Zhang, Dengjia, et al.
Published: (2026)

Reinforcement World Model Learning for LLM-based Agents
by: Yu, Xiao, et al.
Published: (2026)

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking
by: Chen, Yihan, et al.
Published: (2025)

On the Structural Memory of LLM Agents
by: Zeng, Ruihong, et al.
Published: (2024)