collaborators

7 papers

cs.AI2026

SkillVine: Agent Skill Evolution via Branching Exploration

Kaiwei Liu, Jiqian Dong, Liran Dong +7

Agent skills encapsulate reusable procedural knowledge that enables LLM agents to perform tasks, and they can be improved automatically using trajectories from interactions with th…

cs.AI2026

TROVE: Adaptive Agent Skill Orchestration via Trace-Grounded Route Validation and Editing

Tianxing Wang, Mingming Zhao, Shuai Huang +4

Agents tend to optimize, select, or constrain execution structures before decisive runtime outcomes are observed. However, such pre-execution commitment creates an orchestration bo…

cs.AI2026

ScienceFlow: A long-horizon agent for ML research, scientific discovery and beyond

Mingming Zhao, Jiqian Dong, Kangping Xu +16

Enabling LLM agents to sustain productive, stable, and goal-aligned research over extended horizons is a central challenge for autonomous machine learning and scientific discovery,…

cs.CL2026

ACE-GraphRAG: Agentic Context Engineering for Hierarchical GraphRAG

Yongfeng Huang, Yuren Lai, Ruiying Chen +3

Hierarchical Graph Retrieval-Augmented Generation (GraphRAG) organizes corpus knowledge at multiple levels of granularity, yet fixed context construction may fail to translate thes…

cs.CV2026

AeSlides: Incentivizing Aesthetic Layout in LLM-Based Slide Generation via Verifiable Rewards

Yiming Pan, Chengwei Hu, Xuancheng Huang +6

Large language models (LLMs) have demonstrated strong potential in agentic tasks, particularly in slide generation. However, slide generation poses a fundamental challenge: the gen…

cs.AI2025

Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators

Mingming Zhao, Xiaokang Wei, Yuanqi Shao +5

Large language models (LLMs) have shown strong potential in automating the design of agentic workflows. However, existing methods still rely heavily on manually predefined operator…

cs.CL2025

Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agents

Yihong Tang, Kehai Chen, Liang Yue +11

With the rise of large language models (LLMs), LLM agents capable of autonomous reasoning, planning, and executing complex tasks have become a frontier in artificial intelligence.…