🔗 Who cites «LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations»

64 papers of our library cite it (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← back to «LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations»

1. CODI: Compressing Chain-of-Thought into Continuous Space via Self-DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenyi Shen, Hanqi Yan, Linhai Zhang, et al.2025 · 78 citations
2. Hallucination Detection in LLMs Using Spectral Features of Attention MapsConference on Empirical Methods in Natural Language Processing (EMNLP)Jakub Binkowski, Denis Janiak, Albert Sawczyn, et al.2025 · 18 citations
3. ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenliang Zhang, Xinyu Hu, Huixuan Zhang, et al.2025 · 14 citations
4. Too Consistent to Detect: A Study of Self-Consistent Errors in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Hexiang Tan, Fei Sun, Sha Liu, et al.2025 · 12 citations
5. Calibrating Verbal Uncertainty as a Linear Feature to Reduce HallucinationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziwei Ji, Lei Yu, Yeskendir Koishekenov, et al.2025 · 11 citations
6. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
7. Growing Through Experience: Scaling Episodic Grounding in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chunhui Zhang, Sirui Wang, Zhongyu Ouyang, et al.2025 · 5 citations
8. Shakespearean Sparks: The Dance of Hallucination and Creativity in LLMs' Decoding LayersarXiv:2503.02851Zicong He; Boxuan Zhang;, Lu Cheng2025 · 3 citations
9. Latent Agents: A Post-Training Procedure for Internalized Multi-Agent DebateAnnual Meeting of the Association for Computational Linguistics (ACL)John Seon Keun Yi, Aaron Mueller, Dokyun Lee2026 · 2 citations
10. The Unintended Trade-off of AI Alignment: Balancing Hallucination Mitigation and Safety in LLMsFindings of the Association for Computational LinguisticsOmar Mahmoud, Ali Khalil, Thommen George Karimpanal, et al.2026 · 2 citations
11. BaseCal: Unsupervised Confidence Calibration via Base Model SignalsAnnual Meeting of the Association for Computational Linguistics (ACL)Hexiang Tan, Wanli Yang, Junwei Zhang, et al.2026 · 1 citation
12. What Matters to an LLM? Behavioral and Computational Evidences from SummarizationFindings of the Association for Computational LinguisticsYongxin Zhou, Changshun Wu, Philippe Mulhem, et al.2026 · 1 citation
13. BurhanAI at IslamicEval 2025 Shared Task: Combating Hallucinations in LLMs for Islamic Content; Evaluation, Correction, and Retrieval-Based SolutionArabic Natural Language Processing Conference (ArabicNLP)Arij Al Adel, Abu Bakr Soliman, Mohamed Sakher Sawan, et al.2025 · 1 citation
14. GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language ModelsFindings of the Association for Computational LinguisticsTianyu Pan, Damon L. Woodard2026
15. HalluZig: Hallucination Detection using Zigzag PersistenceConference of the European Chapter of the Association for Computational Linguistics (EACL)Shreyas N. Samaga, Gilberto Gonzalez Arroyo, Tamal K. Dey2026
16. Identity-Robust Language Model Generation via Content Integrity PreservationAnnual Meeting of the Association for Computational Linguistics (ACL)Miao Zhang, Kelly Chen, Mehrab Tanjim, et al.2026
17. LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Xin Wang, Jiahao Li, Licheng Zhang, et al.2026
18. Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhang Zhou, Mingrui Zhang, Ke Li, et al.2026
19. Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM HallucinationsAnnual Meeting of the Association for Computational Linguistics (ACL)Wen Luo, Guangyue Peng, Wei Li, et al.2026
20. VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-EvaluationFindings of the Association for Computational LinguisticsSeongheon Park, Changdae Oh, Hyeong Kyu Choi, et al.2026

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

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