🔗 Who cites «ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models»

30 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models»

1. NormAd: A Framework for Measuring the Cultural Adaptability of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Abhinav Rao, Akhila Yerukola, Vishwa Shah, et al.2025 · 46 citations
2. Beyond Value Benchmarks: Measuring Value-Structure Alignment in Large Language Models via Symmetric Q-SortsAnnual Meeting of the Association for Computational Linguistics (ACL)Jingting Zheng, Yuqi Ren, Linhao Yu, et al.2026 · 1 citation
3. CoopValue: Revealing LLM Value Preferences Through Multi-Agent CooperationFindings of the Association for Computational LinguisticsZee Hen Tang, Mi-Yen Yeh2026
4. Do Language Models Think Consistently? A Study of Value Preferences Across Varying Response LengthsFindings of the Association for Computational LinguisticsInderjeet Jayakumar Nair, Lu Wang2026
5. Jailbreaking Large Language Models with Morality AttacksFindings of the Association for Computational LinguisticsYing Su, Zheng Mingen, Weili Diao, et al.2026
6. MetaBench: A Multi-task Benchmark for Assessing LLMs in MetabolomicsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxing Lu, Xukai Zhao, J. Ben Tamo, et al.2026
7. R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language ModelsLanguage Resources and Evaluation Conference (LREC)Julian Schelb, Orr Borin, David Garcia, et al.2026

23 more papers of our library cite it; they have no page here yet.

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