🧑‍🔬 Who cites Michael Toker

66 citations of their works from 66 papers of our library (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← Michael Toker

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. Probing Semantic Alignment, Lexical Invariance, and Syntactic Influence in LLM Metaphor ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL)Fengying Ye, Shanshan Wang, Lidia S. Chao, et al.2026
20. 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
21. VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-EvaluationFindings of the Association for Computational LinguisticsSeongheon Park, Changdae Oh, Hyeong Kyu Choi, et al.2026

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