5 papers
PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models
Ziliang Zhao, Zenan Xu, Shuting Wang +7
Planning is a fundamental capability for large language models (LLMs) because such complex tasks require models to coordinate goals, constraints, resources, and long-term consequen…
Strategic Heterogeneous Multi-Agent Architecture for Cost-Effective Code Vulnerability Detection
Zhaohui Geoffrey Wang
Automated code vulnerability detection is critical for software security, yet existing approaches face a fundamental trade-off between detection accuracy and computational cost. We…
AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems
Zhaohui Geoffrey Wang
As multi-agent AI systems are increasingly deployed in real-world settings - from automated customer support to DevOps remediation - failures become harder to diagnose due to casca…
Universe Routing: Why Self-Evolving Agents Need Epistemic Control
Zhaohui Geoffrey Wang
A critical failure mode of current lifelong agents is not lack of knowledge, but the inability to decide how to reason. When an agent encounters "Is this coin fair?" it must recogn…
ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
Zhao Wang, Ziliang Zhao, Zhicheng Dou
Reinforcement learning (RL) has become a promising paradigm for optimizing Retrieval-Augmented Generation (RAG) in complex reasoning tasks. However, traditional outcome-based RL ap…