collaborators

8 papers

cs.AI2026

Trust the Edge, Doubt the Arrow: Auditing Validation Signals for Text-Mined Clinical Causal Knowledge Graphs

Su Lan, Shicheng Zhou, Yiqi Wang +3

Clinical causal retrieval-augmented generation systems increasingly use knowledge graphs (KGs) mined from notes, yet extracted assertions remain candidates that require audit for p…

cs.MA2026

When Does Execution Provenance Help Agent Memory Retrieval?

Yiqi Wang, Jinqian Ju, Jiaqi Zhang +4

A language agent's execution history can exceed its context window, requiring its memory system to retrieve complete supporting evidence under a hard token budget. Evidence may spa…

cs.RO2026

IndustrialVLA-Bench: A Traceable Multi-Axis Evaluation of Open Robot Policy Models

Yiqi Wang, Zhifeng Rao, Jiaqi Zhang +7

Open robot policies increasingly follow two paradigms: vision-language-action models (VLAs) directly map observations and instructions to actions, whereas world-action models (WAMs…

cs.AI2026

MAP-Graph: Provenance-Aware Shared Memory for Multi-Agent Workflows

Yiqi Wang, Zihao Yan, Jiaqi Zhang +5

Shared memory helps language-model agents reuse information across long workflows, yet relevant evidence may not be admissible for a particular agent or action. Because restriction…

cs.AI2026

From Faulty Memories to Corrected Actions: Dependency-Guided Rollback Repair for Memory-Augmented Agents

Caili Yu, Yiqi Wang, Jiaqi Zhang +5

Persistent memory lets language model agents reuse information across sessions, but it also makes errors durable: a poisoned, stale, or misattributed record can alter reasoning, to…

cs.AI2026

MemTX: Transactional Belief Commit for Stateful Agent Memory

Xiaoyang Li, Yiqi Wang, Haohui Lu +5

LLM agents increasingly coordinate through persistent shared memory: one agent's write becomes another agent's premise, and eventually a tool call with real side effects. Current a…

cs.CR2026

From Agent Traces to Trust: A Survey of Evidence Tracing and Execution Provenance in LLM Agents

Yiqi Wang, Jiaqi Zhang, Zhangkai Wu +9

Large language model (LLM)-based agents are moving beyond text generation to planning, tool use, retrieval, memory access, environmental interaction, and multi-agent collaboration.…

cs.AI2026

CogniFold: Always-On Proactive Memory via Cognitive Folding

Suli Wang, Yiqun Duan, Yu Deng +6

Existing agent memory remains predominantly reactive and retrieval-based, lacking the capacity to autonomously organize experience into persistent cognitive structure. Toward genui…