{"total":60,"rows":[{"id":"2507.02825","title":"Establishing Best Practices for Building Rigorous Agentic Benchmarks","created":"2025-07-03","cited_by_count":102,"area":"agents"},{"id":"2506.20702","title":"The Singapore Consensus on Global AI Safety Research Priorities","created":"2025-06-25","cited_by_count":10,"area":null},{"id":"2502.14045","title":"There are no Champions in Supervised Long-Term Time Series Forecasting","created":"2025-02-19","cited_by_count":8,"area":null},{"id":"2510.07575","title":"Benchmarking is Broken -- Don't Let AI be its Own Judge","created":"2025-10-08","cited_by_count":8,"area":null},{"id":"2604.16403","title":"Computational Hermeneutics: Evaluating generative AI as a cultural technology","created":"2026-03-31","cited_by_count":8,"area":null},{"id":"2605.08956","title":"Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery","created":"2026-05-09","cited_by_count":8,"area":"agents"},{"id":"2506.01920","title":"From Guidelines to Practice: A New Paradigm for Arabic Language Model Evaluation","created":"2025-06-02","cited_by_count":6,"area":null},{"id":"2510.01232","title":"Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks","created":"2025-09-23","cited_by_count":6,"area":null},{"id":"2510.01474","title":"AIReg-Bench: Benchmarking Language Models That Assess AI Regulation Compliance","created":"2025-10-01","cited_by_count":6,"area":null},{"id":"2605.20251","title":"ProcCtrlBench: Evaluating Process-Level Defects and Control Preservation in LLM Coding Agents","created":"2026-05-18","cited_by_count":6,"area":"agents"},{"id":"2506.08800","title":"Measuring Data Science Automation: A Survey of Evaluation Tools for AI Assistants and Agents","created":"2025-06-10","cited_by_count":4,"area":"agents"},{"id":"2510.04141","title":"The Artificial Intelligence Cognitive Examination: A Survey on the Evolution of Multimodal Evaluation from Recognition to Reasoning","created":"2025-10-05","cited_by_count":4,"area":"lr"},{"id":"2510.15297","title":"VERA-MH Concept Paper","created":"2025-10-17","cited_by_count":4,"area":null},{"id":"2602.05088","title":"AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation","created":"2026-02-04","cited_by_count":4,"area":null},{"id":"2601.08847","title":"Scalable and Reliable Evaluation of AI Knowledge Retrieval Systems: RIKER and the Coherent Simulated Universe","created":"2025-12-22","cited_by_count":3,"area":null},{"id":"2601.20617","title":"Agent Benchmarks Fail Public Sector Requirements","created":"2026-01-28","cited_by_count":3,"area":"agents"},{"id":"2604.03244","title":"AI Evaluation Should Require Standardized Item-Level Data Releases","created":"2026-02-27","cited_by_count":3,"area":null},{"id":"2606.09118","title":"ComplexConstraints and Beyond: Expert Rubrics for RLVR","created":"2026-06-08","cited_by_count":3,"area":"agents"},{"id":"2502.14086","title":"Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning","created":"2025-02-19","cited_by_count":2,"area":"lr"},{"id":"2506.11604","title":"VLM@school -- Evaluation of AI image understanding on German middle school knowledge","created":"2025-06-13","cited_by_count":2,"area":"lr"},{"id":"2507.19960","title":"What Does 'Human-Centred AI' Mean?","created":"2025-07-26","cited_by_count":2,"area":null},{"id":"2509.19590","title":"Position: AI Evaluations Should be Grounded on a Theory of Capability","created":"2025-09-23","cited_by_count":2,"area":null},{"id":"2602.13372","title":"MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents","created":"2026-02-13","cited_by_count":2,"area":null},{"id":"2511.22341","title":"Unexplored flaws in multiple-choice VQA make benchmarking unreliable","created":"2025-11-27","cited_by_count":1,"area":null},{"id":"2602.06981","title":"What is Safety? Corporate Discourse, Power, and the Politics of Generative AI Safety","created":"2026-01-26","cited_by_count":1,"area":null},{"id":"2602.18911","title":"From Human-Level AI Tales to AI Leveling Human Scales","created":"2026-02-21","cited_by_count":1,"area":null},{"id":"2603.18019","title":"BenchBrowser: Retrieving Evidence for Evaluating Benchmark Validity","created":"2026-02-25","cited_by_count":1,"area":null},{"id":"2604.28053","title":"To Build or Not to Build? Factors that Lead to Non-Development or Abandonment of AI Systems","created":"2026-04-30","cited_by_count":1,"area":null},{"id":"2605.26001","title":"AI-Assisted Systematization for Evaluating GenAI Systems","created":"2026-05-25","cited_by_count":1,"area":null},{"id":"2608.06202","title":"What Current AI Benchmarks Leave Unmeasured: Modality, Search, Citations, and Implications (for Safety Evaluations)","created":"2026-08-06","cited_by_count":1,"area":null},{"id":"2506.18213","title":"A Conceptual Framework for AI Capability Evaluations","created":"2025-06-23","cited_by_count":0,"area":null},{"id":"2507.06434","title":"Deprecating Benchmarks: Criteria and Framework","created":"2025-07-08","cited_by_count":0,"area":null},{"id":"2507.20014","title":"Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation","created":"2025-07-26","cited_by_count":0,"area":null},{"id":"2508.10358","title":"What to Ask Next? Probing the Imaginative Reasoning of LLMs with TurtleSoup Puzzles","created":"2025-08-14","cited_by_count":0,"area":"lr"},{"id":"2511.19115","title":"AI Consciousness and Existential Risk","created":"2025-11-24","cited_by_count":0,"area":null},{"id":"2602.11924","title":"Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Making","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2602.12356","title":"A Theoretical Framework for Adaptive Utility-Weighted Benchmarking","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2602.18483","title":"Red Teaming LLMs as Socio-Technical Practice: From Exploration and Data Creation to Evaluation","created":"2026-02-10","cited_by_count":0,"area":"safety"},{"id":"2602.20513","title":"From Performance to Purpose: A Sociotechnical Taxonomy for Evaluating Large Language Model Utility","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2603.11001","title":"RCTs for Frontier AI Governance: Methodological Challenges and Solutions for Human Uplift Studies","created":"2026-03-11","cited_by_count":0,"area":null},{"id":"2603.13294","title":"Real-World AI Evaluation: How FRAME Generates Systematic Evidence to Resolve the Decision-Maker's Dilemma","created":"2026-02-28","cited_by_count":0,"area":null},{"id":"2603.14417","title":"Questionnaire Responses Do not Capture the Safety of AI Agents","created":"2026-03-15","cited_by_count":0,"area":"agents"},{"id":"2603.14987","title":"Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI","created":"2026-03-16","cited_by_count":0,"area":"agents"},{"id":"2605.07046","title":"An Interpretable and Scalable Framework for Evaluating Large Language Models","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2605.13318","title":"VERA-MH: Validation of Ethical and Responsible AI in Mental Health","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.15253","title":"Position: Ideas Should be the Center of Machine Learning Research","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.28966","title":"The Trust Paradox: How CS Researchers Engage LLM Leaderboards","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2606.07996","title":"MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models","created":"2026-06-06","cited_by_count":0,"area":null},{"id":"2606.12552","title":"Crossing the Validation Crisis: Cross-Validation Reduces Benchmarking Variance Surprisingly Well","created":"2026-06-10","cited_by_count":0,"area":null},{"id":"2606.30219","title":"EvalSafetyGap: A Hybrid Survey and Conceptual Framework for LLM Evaluation-Safety Failures","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2608.00680","title":"Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process-Oriented Cognitive Evaluation of Text-Based AI Systems","created":"2026-08-01","cited_by_count":0,"area":null},{"id":"2608.10268","title":"Toward Human Rights Benchmarking for LLMs: A Pilot Methodology","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.18117","title":"Position: AI Leaderboards Are Underserving the Global South: A Case Study from India","created":"2026-07-04","cited_by_count":0,"area":null},{"id":"2608.24962","title":"Evaluating and Preventing Security Smells in AI-Generated Ansible Code","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2608.25623","title":"Using profiles of cognitive capability to assess AI suitability for workplace tasks","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2609.08861","title":"API Benchmark Scores Do Not Reliably Transfer to Chatbot Interfaces","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.21841","title":"EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise","created":"2026-09-18","cited_by_count":0,"area":"agents"},{"id":"2609.35400","title":"Structural Alignment for Reliable Industrial AI: Bridging Physical Reality, Data, Models, and Human Intent","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.38357","title":"Evaluating Language Model Safety Across Long Adversarial Conversations","created":"2026-09-29","cited_by_count":0,"area":"safety"},{"id":"2610.05633","title":"The GenAI4IDN Benchmark 3.0 - a Public Tool to Assess Generative AI Tools for the Design of Interactive Digital Narratives","created":"2026-10-04","cited_by_count":0,"area":null}],"next_cursor":null}