🔗 Who cites «Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness»

83 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 «Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness»

1. Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 520 citations
2. Large Language Models for Generative Information Extraction: A SurveyFrontiers of Computer ScienceDerong Xu, Wei Chen, Wenjun Peng, et al.2023 · 406 citations
3. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsScience China Information SciencesYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 306 citations
4. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkFindings of the Association for Computational LinguisticsOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 250 citations
5. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
6. Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph ConstructionConference on Empirical Methods in Natural Language Processing (EMNLP)Bowen Zhang, Harold Soh2024 · 155 citations
7. UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity RecognitionarXiv:2308.03279Wenxuan Zhou, Sheng Zhang, Yu Gu, et al.2023 · 120 citations
8. AutoRE: Document-Level Relation Extraction with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lilong Xue, Dan Zhang, Yuxiao Dong, et al.2024 · 79 citations
9. When does In-context Learning Fall Short and Why? A Study on Specification-Heavy TasksarXiv:2311.08993Hao Peng, Xiaozhi Wang, Jianhui Chen, et al.2023 · 42 citations
10. Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation ExtractionarXiv:2306.14122Feng Chen, Yujian Feng2023 · 22 citations
11. Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Qingkai Min, Qipeng Guo, Xiangkun Hu, et al.2024 · 19 citations
12. Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionInternational Conference on Computational Linguistics (COLING)Yuming Yang, Wantong Zhao, Caishuang Huang, et al.2025 · 11 citations
13. 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
14. How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation ExtractionWorkshop on Generation, Evaluation and Metrics (GEM)Mohan Raj Chanthran, Lay-Ki Soon, Huey Fang Ong, et al.2023 · 2 citations
15. Contrastively Pre-trained Event Embeddings with Schema-free LLM AnnotationsLanguage Resources and Evaluation Conference (LREC)Frank Mtumbuka, Steven Schockaert2026

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

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