collaborators

7 papers

cs.AI2026

Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations

Bochao Liu, Zhipeng Qian, Yang Zhao +10

Operating and maintaining (O&M) large-scale online engine systems (eg, search, recommendation and advertising) demands substantial human effort for release monitoring, alert respon…

cs.AI2026

MEMOREPAIR: Barrier-First Cascade Repair in Agentic Memory

Yang Zhao, Chengxiao Dai, Mengying Kou +1

Agentic memory evolves across tasks into durable derived artifacts: summaries, cached outputs, embeddings, learned skills, and executable tool procedures. When a source artifact is…

cs.AI2026

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence

Guanting Dong, Junting Lu, Junjie Huang +17

Large language models are increasingly expected to serve as general-purpose agents that interact with external, stateful tool environments. The Model Context Protocol (MCP) and bro…

cs.AI2026

AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain Curriculum

Jiaqi Li, Lvyang Zhang, Yang Zhao +2

What does it mean to give an AI agent a complete education? Current agent development produces specialists systems optimized for a single capability dimension, whether tool use, co…

cs.AI2026

CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering

Yang Zhao, Chengxiao Dai, Wei Zhuo +2

Knowledge graphs provide structured context for multi-hop question answering, but deployed systems must balance answer accuracy with strict latency and cost targets while preservin…

cs.AI2026

ShardMemo: Masked MoE Routing for Sharded Agentic LLM Memory

Yang Zhao, Chengxiao Dai, Yue Xiu +3

Agentic large language model (LLM) systems rely on external memory for long-horizon state and concurrent multi-agent execution, but centralized indexes and heuristic partitions bec…