🔗 Who cites «Alignment for Honesty»

81 papers of our library cite it (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← back to «Alignment for Honesty»

1. Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,974 citations
2. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
3. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
4. DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world EnvironmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, et al.2025 · 113 citations
5. WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language ModelsConference on Neural Information Processing Systems (NeurIPS)Liwei Jiang, Kavel Rao, Seungju Han, et al.2024 · 92 citations
6. Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoying Zhang, Baolin Peng, Ye Tian, et al.2024 · 69 citations
7. The Art of Saying No: Contextual Noncompliance in Language ModelsConference on Neural Information Processing Systems (NeurIPS)Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, et al.2024 · 56 citations
8. Unfamiliar Finetuning Examples Control How Language Models HallucinateConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Katie Kang, Eric Wallace, Claire Tomlin, et al.2025 · 47 citations
9. Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?Conference on Empirical Methods in Natural Language Processing (EMNLP)Gal Yona, Roee Aharoni, Mor Geva2024 · 40 citations
10. Knowledge Boundary of Large Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Moxin Li, Yong Zhao, Wenxuan Zhang, et al.2025 · 30 citations
11. How Likely Do LLMs with CoT Mimic Human Reasoning?International Conference on Computational Linguistics (COLING)Guangsheng Bao, Hongbo Zhang, Cunxiang Wang, et al.2025 · 22 citations
12. Alignment for Efficient Tool Calling of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongshen Xu, Zihan Wang, Zichen Zhu, et al.2025 · 13 citations
13. Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary PerceptionAnnual Meeting of the Association for Computational Linguistics (ACL)Shiyu Ni, Keping Bi, Jiafeng Guo, et al.2025 · 9 citations
14. MetaFaith: Faithful Natural Language Uncertainty Expression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, et al.2025 · 6 citations
15. MAVEN-FACT: A Large-scale Event Factuality Detection DatasetFindings of the Association for Computational LinguisticsChunyang Li, Hao Peng, Xiaozhi Wang, et al.2024 · 6 citations
16. KnowRL: Exploring Knowledgeable Reinforcement Learning for FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Baochang Ren, Shuofei Qiao, Ningyu Zhang, et al.2026 · 5 citations
17. Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is MissingTransactions of the Association for Computational Linguistics (TACL)Dennis Ulmer, Alexandra Lorson, Ivan Titov, et al.2026 · 4 citations
18. Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RLFindings of the Association for Computational LinguisticsHaotian Zhai, Jingcheng Liang, Dongyeop Kang2026 · 2 citations
19. When and What to Ask: AskBench and Rubric-Guided RLVR for LLM ClarificationFindings of the Association for Computational LinguisticsJiale Zhao, Ke Fang, Lu Cheng2026 · 2 citations
20. Uncovering Strategic Egoism Behaviors in Large Language ModelsFindings of the Association for Computational LinguisticsYaoyuan Zhang, Zonghao Ying, Aishan Liu, et al.2026
21. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Journal of SoftwareZeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024

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

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/papers/yang-2023-alignment-honesty/cited-by/