🔗 Who cites «HalluLens: LLM Hallucination Benchmark»

44 papers of our library cite it (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← back to «HalluLens: LLM Hallucination Benchmark»

1. 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
2. ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
3. AutoMonitor-Bench: Evaluating the Reliability of LLM-Based Misbehavior MonitorFindings of the Association for Computational LinguisticsShu Yang, Jingyu Hu, Tong Li, et al.2026 · 2 citations
4. Meeseeks: A Feedback-Driven, Iterative Self-Correction Benchmark evaluating LLMs' Instruction Following CapabilityFindings of the Association for Computational LinguisticsJiaming Wang, Yunke Zhao, Peng Ding, et al.2026 · 1 citation
5. MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026 · 1 citation
6. A multilingual hallucination benchmarkWorkshop on the Role of Resources in the Age of Large Language ModelsFreja Thoresen, Dan Saattrup Smart2026
7. CFQA: A Chinese Financial Question Answering Benchmark from Corporate Annual ReportsFinancial Narrative Processing WorkshopTianning Zhu, Mo Liu, Murathan Kurfali2026
8. FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixuan Weng, Jinghuai Zhang, Kunlin Cai, et al.2026
9. GPT-NL Public Corpus: A Permissively Licensed, Dutch-First Dataset for LLM Pre-trainingLanguage Resources and Evaluation Conference (LREC)Jesse J. Van Oort, Frank Brinkkemper, Erik de Graaf, et al.2026
10. HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Feiyu Zhao, Yiming Chen, Wenhuan Lu, et al.2026
11. KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM KnowledgeFindings of the Association for Computational LinguisticsAlex Robertson, Huizhi Liang, Mahbub Gani, et al.2026
12. POaaS: Minimal-Edit Prompt Optimization as a Service to Lift Accuracy and Cut Hallucinations on On-Device sLLMsFact Extraction and VERification Workshop (FEVER)Jungwoo Shim, Dae Won Kim, Sunwook Kim, et al.2026
13. PRISM: Probing Reasoning, Instruction, and Source Memory in LLM HallucinationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhe Wu, Guangyu Wang, Yuran Chen, et al.2026
14. ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error AnnotationsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yindong Wang, Martin Preiß, Margarita Bugueño, et al.2026
15. Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database ExplorationFindings of the Association for Computational LinguisticsLinzhuang Sun, Tianyu Guo, Hao Liang, et al.2026

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

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