… The following papers were recommended by the Semantic Scholar API Orchard: An Open-Source Agentic Modeling Framework 2026 Auditing Agent Harness Safety 2026 SafeHarbor: Hierarchical Memory-Augmented Guardrail for LLM Agent Safety 2026 Security Risks in Tool-Enabled AI Agents: A Systematic Analysis … …
… Automated Auditing of LLM Agent Benchmarks 2026 AuditRepairBench: A Paired-Execution Trace Corpus for Evaluator-Channel Ranking Instability in Agent Repair 2026 ValueBlindBench: Agreement-Gated Stress Testing of LLM-Judged Investment Rationales Before Returns Are Observable 2026 JudgeSense: A Bench… …
… The following papers were recommended by the Semantic Scholar API STARS: Skill-Triggered Audit for Request-Conditioned Invocation Safety in Agent Systems 2026 PolicyBank: Evolving Policy Understanding for LLM Agents 2026 On-Policy Self-Evolution via Failure Trajectories for Agentic Safety Alignment… …
… Systematic Enumeration and Coverage Audit of LLM Agent Tool Call Safety 2026 Emergent Strategic Reasoning Risks in AI: A Taxonomy-Driven Evaluation Framework 2026 CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments 2… …
… Concern-Level Diagnostics for AI Peer Review 2026 Evaluating Patient Safety Risks in Generative AI: Development and Validation of a FMECA Framework for Generated Clinical Content 2026 PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments 2026 An Empirical Study of Agent Skills for He… …
… However, their safety has received relatively limited attention. Even the latest proprietary and open-weight VLMs remain highly vulnerable to adversarial attacks, leaving downstream applications exposed to significant risks. …
… We further introduce ICU -Evo to study structured-memory agents that improves long-horizon reasoning but does not fully eliminate safety failures. Together, Real ICU provides a clinically grounded testbed for measuring and improving AI sequential decision-support in high-stakes care. …
… The following papers were recommended by the Semantic Scholar API Few Tokens, Big Leverage: Preserving Safety Alignment by Constraining Safety Tokens during Fine-tuning 2026 SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models 2026 Risk-Adjusted H… …
… The following papers were recommended by the Semantic Scholar API SaFeR-Steer: Evolving Multi-Turn MLLMs via Synthetic Bootstrapping and Feedback Dynamics 2026 ContextualJailbreak: Evolutionary Red-Teaming via Simulated Conversational Priming 2026 Transient Turn Injection: Exposing Stateless Multi-… …
… I believe this could provide a lightweight, inexpensive approach for i adding custom, self-hosted safety checks, ii steering conversations to compliant topics, and iii mitigating risks when connecting AI pipelines to external services. …