Research area 02
Auditable AI Agents
LLM agents · RAG · reliability · security
Making LLM agents and retrieval pipelines accountable: auditing their traces, defending their memories and retrieval corpora, and deciding which of their outputs have earned the right to be trusted.
Publications (14)
Filter in publications →A Selection-Aware Audit of Learned Stopping in Short-Horizon Iterative Retrieval
WSDM 2027 (Main Conference; acceptance rate: 15.8%), Hong Kong · February 2027
CORE ATo appearEvidenceGraph: Measuring and Controlling Repeated Evidence in Retrieval-Augmented Verification
WSDM 2027 (Main Conference; acceptance rate: 15.8%), Hong Kong · February 2027
CORE ATo appearRelationalRAG-Tables: A Learned Join Verifier for QA over Tables and Knowledge Graphs
ACML 2026 (Journal Track) — Machine Learning journal (Springer, Scimago Q1, Impact Factor 4.9), Melbourne, Australia · December 2026
Q1To appearMDP-Guided Reinforcement Learning for Cost-Aware LLM-Based Test Generation
CSoNet 2026, Ho Chi Minh City, Vietnam · November 2026
To appearDeon: Runtime Guards for Policy-Safe Agentic Service Composition under Attack
ICSOC 2026 (Main Track, CORE Rank A, Acceptance Rate: 64/240, 27%), Lodz, Poland · December 2026
CORE ATo appearA Failure-Mode Taxonomy for LLM-Agent Services: An Empirical Mining Study
ICSOC 2026 (Main Track, CORE Rank A, Acceptance Rate: 64/240, 27%), Lodz, Poland · December 2026
CORE ATo appearWhen Audit Quality Fails to Predict Downstream Utility: Synthetic-Data Selection for Low-Resource Classification
EMNLP 2026 (Findings Track, CORE Rank A*), Budapest, Hungary · October 2026
CORE A*To appearLTM-RAG: Longitudinal Trust Mining for Poison-Resilient Retrieval-Augmented Generation
ICDM 2026 (Research Track, CORE Rank A*, Acceptance Rate: 392/1966, 20%), Shenyang, China · November 2026
CORE A*To appearGraphMemShield: Auditing Cross-Session Leakage in Graph Memories
CIKM 2026 (Full Research Track, CORE Rank A, Acceptance Rate: 597/2216, 27%), Rome, Italy · November 2026
CORE ATo appearGraphLedger: Repository-Level Vulnerability Detection via Graph-Based Compression and Assumption Validation
ASE 2026 (Research Track, CORE Rank A*, Acceptance Rate: 115/1236), Munich, Germany · November 2026
CORE A*To appearTraceToChain: Auditing LLM-Agent Reliability with Absorbing Markov Chains
ISSRE 2026 (Research Track, CORE Rank A), Limassol, Cyprus · October 2026
CORE ATo appearEmerging Trends and Challenges Toward LLM Agents in Static Analysis
IEA/AIE 2026, Kuala Lumpur, Malaysia · July 2026
Nominated for Best Paper AwardFrom Black-Box to Glass-Box: Explainable AI for Applied Intelligent Software Systems Across the Software Development Life Cycle
IEA/AIE 2026, Kuala Lumpur, Malaysia · July 2026
Best Paper AwardSBV-LawGraph: A Hybrid RAG Approach Integrating Knowledge Graph for the State Bank of Vietnam Legal Documents
ACIIDS 2026 (Oral), Kaohsiung, Taiwan · April 2026