{"total":20,"rows":[{"id":"2504.18838","title":"Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks","created":"2025-04-26","cited_by_count":28,"area":null},{"id":"2505.21828","title":"SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts","created":"2025-05-27","cited_by_count":8,"area":null},{"id":"2604.14548","title":"VoxSafeBench: Not Just What Is Said, but Who, How, and Where","created":"2026-04-16","cited_by_count":8,"area":null},{"id":"2501.07071","title":"Value Compass Benchmarks: A Platform for Fundamental and Validated Evaluation of LLMs Values","created":"2025-01-13","cited_by_count":7,"area":null},{"id":"2512.04408","title":"Executable Governance for AI: Translating Policies into Rules Using LLMs","created":"2025-12-04","cited_by_count":3,"area":null},{"id":"2602.08229","title":"InfiCoEvalChain: A Blockchain-Based Decentralized Framework for Collaborative LLM Evaluation","created":"2026-02-09","cited_by_count":3,"area":null},{"id":"2602.16729","title":"Intent Laundering: AI Safety Datasets Are Not What They Seem","created":"2026-02-17","cited_by_count":3,"area":null},{"id":"2603.17373","title":"SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems","created":"2026-03-18","cited_by_count":3,"area":null},{"id":"2606.03330","title":"FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences","created":"2026-06-02","cited_by_count":3,"area":null},{"id":"2509.23488","title":"Mapping Overlaps in Benchmarks through Perplexity in the Wild","created":"2025-09-27","cited_by_count":2,"area":null},{"id":"2511.00527","title":"A Hierarchical Imprecise Probability Approach to Reliability Assessment of Large Language Models","created":"2025-11-01","cited_by_count":2,"area":null},{"id":"2605.29473","title":"Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles","created":"2026-05-28","cited_by_count":2,"area":null},{"id":"2506.11017","title":"TeleEval-OS: Performance evaluations of large language models for operations scheduling","created":"2025-05-06","cited_by_count":1,"area":null},{"id":"2604.09606","title":"Evaluating Reliability Gaps in Large Language Model Safety via Repeated Prompt Sampling","created":"2026-03-10","cited_by_count":1,"area":null},{"id":"2604.26577","title":"Benchmarking the Safety of Large Language Models for Robotic Health Attendant Control","created":"2026-04-29","cited_by_count":1,"area":null},{"id":"2606.29685","title":"CAREBench: A Child-Safety Risk Benchmark for Language Models","created":"2026-06-29","cited_by_count":1,"area":null},{"id":"2607.13039","title":"Safeguard-Conditioned Uplift: Measuring Utility-Risk Frontiers for Dual-Use Biology Assistants","created":"2026-06-12","cited_by_count":1,"area":null},{"id":"2511.03152","title":"Who Sees the Risk? Stakeholder Conflicts and Explanatory Policies in LLM-based Risk Assessment","created":"2025-11-05","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":"2606.09697","title":"PsychoSafe: Eliciting Psychologically-Informed Refusals in Large Language Models","created":"2026-06-08","cited_by_count":0,"area":null}],"next_cursor":null}