Full Research Papers
8–9 pages including references
AI/CORE Unranked
TRUSTMORE 2026
TRUSTMORE 2026: 1st International Workshop on Trustworthy Multimodal Agents
TRUSTMORE 2026 is the 1st International Workshop on Trustworthy Multimodal Agents, co-located with IEEE Big Data 2026, focusing on scalable, safe, and auditable systems for real-world AI deployments. It bridges academic research with industrial practice by emphasizing production-ready architectures, operational challenges, and evaluation methodologies for multimodal agents in regulated domains like healthcare, finance, and cybersecurity.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short / Work-in-Progress Papers
4–6 pages including references
System & Demo Papers
4–6 pages including references
Research areas in scope
01
Demos of Deployed Systems and Practical Applications
End-to-end deployed agentic systemsMulti-agent coordination and autonomous reasoningLatency-aware and resource-constrained deploymentPractical applications in regulated domainsProduction architectures and deployment case studiesHuman-agent collaboration
02
Trustworthy Infrastructure & Methods
Retrieval, grounding, and knowledge integrationObservability and outlier detectionError detection and failure recoveryRobust orchestration and agent infrastructureSafety mechanisms for autonomous agentsAuditability, compliance, and governanceSecurity, privacy, and resilience
03
Benchmarks, Datasets & Objective Evaluation
Production-oriented and domain-specific benchmarksSafety and reliability evaluationLong-context and multimodal evaluationContinuous evaluationAdversarial evaluation, red teaming, and jailbreaksFormal auditing and objective evaluationDataset quality and reproducibility
Policies worth checking twice
- Submissions undergo double-blind review
- Papers must be anonymized by removing names, affiliations, and acknowledgments
- Papers must use third-person references to prior work
- Submissions must be original and not published elsewhere or simultaneously submitted to another venue
- Submissions must follow the IEEE BigData 2026 template
- Authors must create and activate an OpenReview profile with institutional email
- Every author must have an active OpenReview account with confirmed email
- Supplementary materials must be anonymized
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026