{"total":109,"rows":[{"id":"2401.11817","title":"Hallucination is Inevitable: An Innate Limitation of Large Language Models","created":"2024-01-22","cited_by_count":332,"area":null},{"id":"2311.09528","title":"HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM","created":"2023-11-16","cited_by_count":142,"area":null},{"id":"2402.09283","title":"Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey","created":"2024-02-14","cited_by_count":130,"area":null},{"id":"2406.02630","title":"AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways","created":"2024-06-04","cited_by_count":127,"area":null},{"id":"2311.07914","title":"Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey","created":"2023-11-14","cited_by_count":92,"area":null},{"id":"2404.04689","title":"Multicalibration for Confidence Scoring in LLMs","created":"2024-04-06","cited_by_count":46,"area":null},{"id":"2403.04786","title":"Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models","created":"2024-03-03","cited_by_count":44,"area":null},{"id":"2403.12844","title":"MELTing point: Mobile Evaluation of Language Transformers","created":"2024-03-19","cited_by_count":36,"area":null},{"id":"2401.03315","title":"Malla: Demystifying Real-world Large Language Model Integrated Malicious Services","created":"2024-01-06","cited_by_count":33,"area":null},{"id":"2407.18369","title":"AI Safety in Generative AI Large Language Models: A Survey","created":"2024-07-06","cited_by_count":33,"area":null},{"id":"2407.12858","title":"Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)","created":"2024-07-10","cited_by_count":20,"area":null},{"id":"2602.11865","title":"Intelligent AI Delegation","created":"2026-02-12","cited_by_count":18,"area":null},{"id":"2406.04755","title":"LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses","created":"2024-06-07","cited_by_count":15,"area":null},{"id":"2312.06798","title":"Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability, Explainability, and Safety","created":"2023-12-05","cited_by_count":14,"area":null},{"id":"2407.03234","title":"Self-Evaluation as a Defense Against Adversarial Attacks on LLMs","created":"2024-07-03","cited_by_count":14,"area":null},{"id":"2402.14558","title":"LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey","created":"2024-02-22","cited_by_count":12,"area":null},{"id":"2505.18658","title":"Robustness in Large Language Models: A Survey of Mitigation Strategies and Evaluation Metrics","created":"2025-05-24","cited_by_count":12,"area":null},{"id":"2406.16746","title":"The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources","created":"2024-06-24","cited_by_count":11,"area":null},{"id":"2410.12071","title":"Beyond the Comfort Zone: Emerging Solutions to Overcome Challenges in Integrating LLMs into Software Products","created":"2024-10-15","cited_by_count":11,"area":null},{"id":"2403.06009","title":"Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations","created":"2024-03-09","cited_by_count":10,"area":null},{"id":"2407.06866","title":"ChatGPT Doesn't Trust Chargers Fans: Guardrail Sensitivity in Context","created":"2024-07-09","cited_by_count":9,"area":null},{"id":"2410.09652","title":"Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution","created":"2024-10-12","cited_by_count":9,"area":null},{"id":"2507.06196","title":"UQLM: A Python Package for Uncertainty Quantification in Large Language Models","created":"2025-07-08","cited_by_count":9,"area":null},{"id":"2509.14404","title":"A Taxonomy of Prompt Defects in LLM Systems","created":"2025-09-17","cited_by_count":8,"area":null},{"id":"2512.03994","title":"Training-Free Policy Violation Detection via Activation-Space Whitening in LLMs","created":"2025-12-03","cited_by_count":6,"area":null},{"id":"2404.08705","title":"Introducing L2M3, A Multilingual Medical Large Language Model to Advance Health Equity in Low-Resource Regions","created":"2024-04-11","cited_by_count":5,"area":null},{"id":"2410.14748","title":"ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries","created":"2024-10-17","cited_by_count":5,"area":null},{"id":"2503.23175","title":"Large Language Models Are Unreliable for Cyber Threat Intelligence","created":"2025-03-29","cited_by_count":5,"area":null},{"id":"2601.12696","title":"UbuntuGuard: A Culturally-Grounded Policy Benchmark for Equitable AI Safety in African Languages","created":"2026-01-19","cited_by_count":5,"area":null},{"id":"2604.27289","title":"Mechanized Foundations of Structural Governance: Machine-Checked Proofs for Governed Intelligence","created":"2026-04-30","cited_by_count":5,"area":null},{"id":"2605.18991","title":"Agent Security is a Systems Problem","created":"2026-05-18","cited_by_count":5,"area":null},{"id":"2405.00801","title":"\"Ask Me Anything\": How Comcast Uses LLMs to Assist Agents in Real Time","created":"2024-05-01","cited_by_count":4,"area":null},{"id":"2501.15693","title":"Beyond Benchmarks: On The False Promise of AI Regulation","created":"2025-01-26","cited_by_count":4,"area":null},{"id":"2506.07330","title":"JavelinGuard: Low-Cost Transformer Architectures for LLM Security","created":"2025-06-09","cited_by_count":4,"area":null},{"id":"2604.27292","title":"The Two Boundaries: Why Behavioral AI Governance Fails Structurally","created":"2026-04-30","cited_by_count":4,"area":null},{"id":"2605.25632","title":"Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents","created":"2026-05-25","cited_by_count":4,"area":null},{"id":"2406.15214","title":"Unsupervised Extraction of Dialogue Policies from Conversations","created":"2024-06-21","cited_by_count":3,"area":null},{"id":"2408.01444","title":"No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size","created":"2024-07-21","cited_by_count":3,"area":null},{"id":"2509.14608","title":"Enterprise AI Must Enforce Participant-Aware Access Control","created":"2025-09-18","cited_by_count":3,"area":null},{"id":"2509.24090","title":"Large-Scale Constraint Generation -- Can LLMs Parse Hundreds of Constraints?","created":"2025-09-28","cited_by_count":3,"area":null},{"id":"2509.25539","title":"Toxicity in Online Platforms and AI Systems: A Survey of Needs, Challenges, Mitigations, and Future Directions","created":"2025-09-29","cited_by_count":3,"area":null},{"id":"2601.06366","title":"SafeGPT: Preventing Data Leakage and Unethical Outputs in Enterprise LLM Use","created":"2026-01-10","cited_by_count":3,"area":null},{"id":"2401.06513","title":"ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study","created":"2024-01-12","cited_by_count":2,"area":null},{"id":"2403.08802","title":"Governance of Generative Artificial Intelligence for Companies","created":"2024-02-05","cited_by_count":2,"area":null},{"id":"2409.17642","title":"AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure","created":"2024-09-26","cited_by_count":2,"area":null},{"id":"2410.05573","title":"TaeBench: Improving Quality of Toxic Adversarial Examples","created":"2024-10-08","cited_by_count":2,"area":null},{"id":"2410.20791","title":"From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap","created":"2024-10-28","cited_by_count":2,"area":null},{"id":"2505.17131","title":"Relative Bias: A Comparative Framework for Quantifying Bias in LLMs","created":"2025-05-22","cited_by_count":2,"area":null},{"id":"2509.02372","title":"Scam2Prompt: A Scalable Framework for Auditing Malicious Scam Endpoints in Production LLMs","created":"2025-09-02","cited_by_count":2,"area":null},{"id":"2604.11943","title":"ProbeLogits: Kernel-Level LLM Inference Primitives for AI-Native Operating Systems","created":"2026-04-13","cited_by_count":2,"area":null},{"id":"2604.16838","title":"enclawed: A Configurable, Sector-Neutral Hardening Framework for Single-User AI Assistant Gateways","created":"2026-04-18","cited_by_count":2,"area":null},{"id":"2606.20510","title":"Efficient and Sound Probabilistic Verification for AI Agents","created":"2026-06-18","cited_by_count":2,"area":null},{"id":"2606.26057","title":"The Unfireable Safety Kernel: Execution-Time AI Alignment for AI Agents and Other Escapable AI Systems","created":"2026-06-24","cited_by_count":2,"area":null},{"id":"2410.18114","title":"Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2411.14442","title":"AI Ethics by Design: Implementing Customizable Guardrails for Responsible AI Development","created":"2024-11-05","cited_by_count":1,"area":null},{"id":"2507.21782","title":"The Problem with Safety Classification is not just the Models","created":"2025-07-29","cited_by_count":1,"area":null},{"id":"2603.26728","title":"SEAR: Schema-Based Evaluation and Routing for LLM Gateways","created":"2026-03-20","cited_by_count":1,"area":null},{"id":"2604.05119","title":"Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems","created":"2026-04-06","cited_by_count":1,"area":null},{"id":"2604.08059","title":"Governed Capability Evolution: Lifecycle-Time Compatibility Checking and Rollback for AI-Component-Based Systems, with a Proof-of-Concept Evaluation on Embodied Agents","created":"2026-04-09","cited_by_count":1,"area":null},{"id":"2604.14723","title":"Bounded Autonomy for Enterprise AI: Typed Action Contracts and Consumer-Side Execution","created":"2026-04-16","cited_by_count":1,"area":null},{"id":"2604.24686","title":"Governing What You Cannot Observe: Adaptive Runtime Governance for Autonomous AI Agents","created":"2026-04-27","cited_by_count":1,"area":null},{"id":"2604.27819","title":"MCPHunt: An Evaluation Framework for Cross-Boundary Data Propagation in Multi-Server MCP Agents","created":"2026-04-30","cited_by_count":1,"area":null},{"id":"2605.01032","title":"Algebraic Semantics of Governed Execution: Monoidal Categories, Effect Algebras, and Coterminous Boundaries","created":"2026-05-01","cited_by_count":1,"area":null},{"id":"2605.16265","title":"AgentWall: A Runtime Safety Layer for Local AI Agents","created":"2026-03-24","cited_by_count":1,"area":null},{"id":"2605.20203","title":"GrandGuard: Taxonomy, Benchmark, and Safeguards for Elderly-Chatbot Interaction Safety","created":"2026-04-07","cited_by_count":1,"area":null},{"id":"2605.27117","title":"Position: AI Safety Requires Effective Controllability","created":"2026-05-26","cited_by_count":1,"area":null},{"id":"2606.10487","title":"Stop Early, Spend Less: Hidden-State Probes as a Practical Recipe for Streaming Moderation of LLM Outputs","created":"2026-06-09","cited_by_count":1,"area":null},{"id":"2606.14350","title":"Design Methodology and Performance Trade-offs Management for Distributed and Compound AI Systems","created":"2026-06-12","cited_by_count":1,"area":null},{"id":"2607.04562","title":"Heaviside Continuity of Rolling Coefficients for Eliminating Epistemic Entropy in Large Language Models","created":"2026-07-06","cited_by_count":1,"area":null},{"id":"2608.26171","title":"Mitigating Fabrication in Multi-Stage LLM Pipelines for Hiring: An Empirical Evaluation of Prompt Guardrails and Human-in-the-Loop Checkpoints","created":"2026-07-22","cited_by_count":1,"area":null},{"id":"2609.30967","title":"MoMHa: Multi-Objective Optimization of LLM Harnesses over Accuracy, Safety, and Tokens","created":"2026-09-25","cited_by_count":1,"area":null},{"id":"2407.12812","title":"Building Understandable Messaging for Policy and Evidence Review (BUMPER) with AI","created":"2024-06-27","cited_by_count":0,"area":null},{"id":"2407.20240","title":"Social and Ethical Risks Posed by General-Purpose LLMs for Settling Newcomers in Canada","created":"2024-07-15","cited_by_count":0,"area":null},{"id":"2410.23483","title":"Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model System","created":"2024-10-30","cited_by_count":0,"area":null},{"id":"2502.12411","title":"Gradient Co-occurrence Analysis for Detecting Unsafe Prompts in Large Language Models","created":"2025-02-18","cited_by_count":0,"area":null},{"id":"2505.10640","title":"The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware)","created":"2025-05-15","cited_by_count":0,"area":null},{"id":"2506.00964","title":"ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness","created":"2025-06-01","cited_by_count":0,"area":null},{"id":"2507.01081","title":"AI-guided digital intervention with physiological monitoring reduces intrusive memories after experimental trauma","created":"2025-07-01","cited_by_count":0,"area":null},{"id":"2508.01198","title":"Adaptive Content Restriction for Large Language Models via Suffix Optimization","created":"2025-08-02","cited_by_count":0,"area":null},{"id":"2508.02279","title":"Dialogue Systems Engineering: A Survey and Future Directions","created":"2025-08-04","cited_by_count":0,"area":null},{"id":"2509.22041","title":"Taxonomy of Comprehensive Safety for Clinical Agents","created":"2025-09-26","cited_by_count":0,"area":null},{"id":"2510.12083","title":"An AI-Based Behavioral Health Safety Filter and Dataset for Identifying Mental Health Crises in Text-Based Conversations","created":"2025-10-14","cited_by_count":0,"area":null},{"id":"2510.26905","title":"Cognition Envelopes for Bounded Decision Making in Autonomous UAS Operations","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2512.14761","title":"CAPE: Capability Achievement via Policy Execution","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2512.21107","title":"Semi-Supervised Learning for Large Language Models Safety and Content Moderation","created":"2025-12-24","cited_by_count":0,"area":null},{"id":"2601.13122","title":"Responsible AI for General-Purpose Systems: Overview, Challenges, and A Path Forward","created":"2026-01-19","cited_by_count":0,"area":null},{"id":"2603.02259","title":"The Alignment Flywheel: A Governance-Centric Hybrid MAS for Architecture-Agnostic Safety","created":"2026-02-28","cited_by_count":0,"area":null},{"id":"2603.13558","title":"Holographic Invariant Storage: Design-Time Safety Contracts via Vector Symbolic Architectures","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2603.21194","title":"Is Monitoring Enough? Strategic Agent Selection For Stealthy Attack in Multi-Agent Discussions","created":"2026-03-22","cited_by_count":0,"area":null},{"id":"2605.05248","title":"Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effect","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2605.26942","title":"Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint)","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2606.08381","title":"Auditing Proprietary Alignment in Large Language Models: A Comparative Framework Without a Ground-Truth Standard","created":"2026-06-07","cited_by_count":0,"area":null},{"id":"2606.16326","title":"Gaming-Resistant Insurance Contracts for Autonomous AI Agents: Strategy-Proof Toll Mechanism Design","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2606.21121","title":"Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2607.02210","title":"Criticality-Based Guard Rail Validation for AI Agent Decisions in Autonomous Telecom Networks","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2607.18246","title":"Phionyx: A Deterministic AI Runtime Architecture with Structured State Management and Pre-Response Governance","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2607.24801","title":"Influence of Prompt Engineering on Small Language Models for Guarded Query Routing","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.26200","title":"Choosing Where and How to Moderate: End-to-End Trade-offs in Filter Placement and Response Rewriting","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2608.14089","title":"Regime-Conditional Verification: Correctness Estimation for Adapting and Monitoring Safety Classifiers","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2608.27102","title":"LAAF: A Layered Accountability Architecture Framework for LLM Applications","created":"2026-08-27","cited_by_count":0,"area":null}],"next_cursor":"100"}