{"total":20,"rows":[{"id":"2407.11691","title":"VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models","created":"2024-07-16","cited_by_count":455,"area":null},{"id":"2406.14230","title":"Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing","created":"2024-06-20","cited_by_count":17,"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":"2409.12739","title":"Edu-Values: Towards Evaluating the Chinese Education Values of Large Language Models","created":"2024-09-19","cited_by_count":5,"area":null},{"id":"2509.07287","title":"Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm","created":"2025-09-08","cited_by_count":5,"area":null},{"id":"2512.13723","title":"Made-in China, Thinking in America:U.S. Values Persist in Chinese LLMs","created":"2025-12-13","cited_by_count":5,"area":null},{"id":"2605.10310","title":"Positive Alignment: Artificial Intelligence for Human Flourishing","created":"2026-05-11","cited_by_count":5,"area":null},{"id":"2507.03477","title":"REAL: Benchmarking Abilities of Large Language Models for Housing Transactions and Services","created":"2025-07-04","cited_by_count":2,"area":null},{"id":"2508.20201","title":"Social Bias in Multilingual Language Models: A Survey","created":"2025-08-27","cited_by_count":2,"area":null},{"id":"2603.08182","title":"TildeOpen LLM: Leveraging Curriculum Learning to Achieve Equitable Language Representation","created":"2026-03-09","cited_by_count":2,"area":null},{"id":"2607.01250","title":"Structuring the Space of Sociotechnical Alignment","created":"2026-06-02","cited_by_count":2,"area":null},{"id":"2510.03384","title":"Implicit Values Embedded in How Humans and LLMs Complete Subjective Everyday Tasks","created":"2025-10-03","cited_by_count":1,"area":null},{"id":"2504.04997","title":"SurvSurf: a partially monotonic neural network for first-hitting time prediction of intermittently observed discrete and continuous sequential events","created":"2025-04-07","cited_by_count":0,"area":null},{"id":"2505.08734","title":"NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context","created":"2025-05-13","cited_by_count":0,"area":null},{"id":"2507.11502","title":"HKGAI-V1: Towards Regional Sovereign Large Language Model for Hong Kong","created":"2025-07-14","cited_by_count":0,"area":null},{"id":"2510.17918","title":"JT-Safe: Intrinsically Enhancing the Safety and Trustworthiness of LLMs","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2602.17283","title":"Towards Cross-lingual Values Judgment: A Consensus-Pluralism Perspective","created":"2026-02-19","cited_by_count":0,"area":null},{"id":"2603.15615","title":"Mechanistic Origin of Moral Indifference in Language Models","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2605.24414","title":"JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2609.00519","title":"The Safeguard Worked. Is the LLM System Safer?","created":"2026-09-01","cited_by_count":0,"area":null}],"next_cursor":null}