Who cites Cheng Zhang
- 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
- ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
- 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
- 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
- Explaining Sources of Uncertainty in Automated Fact-CheckingAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyi Sun, Greta Warren, Irina Shklovski, et al.2026 · 3 citations
- 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
- 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
- MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026 · 1 citation
- A multilingual hallucination benchmarkWorkshop on the Role of Resources in the Age of Large Language ModelsFreja Thoresen, Dan Saattrup Smart2026
- Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty EstimationAnnual Meeting of the Association for Computational Linguistics (ACL)Bhaktipriya Radharapu, Eshika Saxena, Kenneth Li, et al.2026
- CFQA: A Chinese Financial Question Answering Benchmark from Corporate Annual ReportsFinancial Narrative Processing WorkshopTianning Zhu, Mo Liu, Murathan Kurfali2026
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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