🧑‍🔬 Who cites Simone Balloccu

121 citations of their works from 121 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← Simone Balloccu

1. LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation TasksarXiv:2406.18403Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al.2024 · 141 citations
2. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
3. A Careful Examination of Large Language Model Performance on Grade School ArithmeticConference on Neural Information Processing Systems (NeurIPS)Hugh Zhang, Jeff Da, Dean Lee, et al.2024 · 101 citations
4. Benchmark Data Contamination of Large Language Models: A SurveyarXiv:2406.04244Cheng Xu, Shuhao Guan, Derek Greene, et al.2024 · 85 citations
5. MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, et al.2024 · 74 citations
6. Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models — A SurveyarXiv:2404.01869Philipp Mondorf, Barbara Plank2024 · 53 citations
7. VariErr NLI: Separating Annotation Error from Human Label VariationAnnual Meeting of the Association for Computational Linguistics (ACL)Leon Weber-Genzel, Siyao Peng, Marie-Catherine De Marneffe, et al.2024 · 51 citations
8. On Memorization of Large Language Models in Logical ReasoningInternational Joint Conference on Natural Language Processing (IJCNLP)Chulin Xie, Yangsibo Huang, Chiyuan Zhang, et al.2025 · 45 citations
9. “Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?Findings of the Association for Computational LinguisticsBeiduo Chen, Xinpeng Wang, Siyao Peng, et al.2024 · 18 citations
10. DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphConference on Neural Information Processing Systems (NeurIPS)Zhehao Zhang, Jiaao Chen, Diyi Yang2024 · 17 citations
11. Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle ChallengesInternational Conference on Computational Linguistics (COLING)Vinay Samuel, Yue Zhou, Henry Peng Zou2025 · 16 citations
12. Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?Transactions of the Association for Computational Linguistics (TACL)Evgeniia Razumovskaia, Ivan Vulić, Anna Korhonen2025 · 15 citations
13. A Survey on Efficient Large Language Model Training: From Data-centric PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Junyu Luo, Bohan Wu, Xiao Luo, et al.2025 · 14 citations
14. Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and FeedbackarXiv:2412.11986Kate Knill, Diane Nicholls, Mark J.F. Gales, et al.2024 · 5 citations
15. MELABenchv1: Benchmarking Large Language Models against Smaller Fine-Tuned Models for Low-Resource Maltese NLPFindings of the Association for Computational LinguisticsKurt Micallef, Claudia Borg2025 · 4 citations
16. How Quantization Shapes Bias in Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Federico Marcuzzi, Xuefei Ning, Roy Schwartz, et al.2026 · 3 citations
17. LLM-Powered Benchmark Factory: Reliable, Generic, and EfficientAnnual Meeting of the Association for Computational Linguistics (ACL)Peiwen Yuan, Shaoxiong Feng, Yiwei Li, et al.2026 · 3 citations
18. Are LLM Benchmarks Already Contaminated? A Systematic Review of Contamination Detection MethodsWorkshop on Generation, Evaluation and Metrics (GEM)Erfan Nourbakhsh, Mohammad Sadegh Sirjani, Amir Mousavi, et al.2026
19. Can Large Language Models Reliably Correct Errors in Low-Resource ASR? A Contamination-Aware Case Study on West FrisianarXiv:2605.19711Yun Hao, Reihaneh Amooie, Wietse de Vries, et al.2026
20. CLARIN-PT-LDB: An Open LLM Leaderboard for Portuguese to assess Language, Culture and CivilityInternational Conference on Computational Processing of PortugueseJoão Ricardo Silva, Luís Gomes, António Branco2026
21. HotelCheckSpan: A Benchmark Dataset for LLM FaithfulnessLanguage Resources and Evaluation Conference (LREC)Patricia Schmidtova, Ondrej Dusek, Saad Mahamood2026
22. LLM-FK: Multi-Agent LLM Reasoning for Foreign Key Detection in Large-Scale Complex DatabasesFindings of the Association for Computational LinguisticsZijian Tang, Ying Zhang, Sibo Cai, et al.2026
23. MameLoshnLM: Yiddish Language Model and Evaluation BenchmarkarXiv:2608.05850 · Proceedings of the Third Conference on Language Modeling (COLM 2026), 2026Uri Katz, Omer Goldman, Tomasz Limisiewicz, et al.2026
24. NLG Evaluation: Past, Present, FutureSymposium on Natural Language Generation EvaluationsEhud Reiter2026
25. Obscuring Data Contamination Through Translation: Evidence from Arabic CorporaarXiv:2601.14994Chaymaa Abbas, Nour Shamaa, Mariette Awad2026
26. OpenSubtitles2024: A Massively Parallel Dataset of Movie Subtitles for MT Development and EvaluationLanguage Resources and Evaluation Conference (LREC)Joerg Tiedemann, Hengyu Luo2026
27. QFinZero: A Unified Financial Toolchain for LLM-Based Trading AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Haochen Luo, Yifan LI, Ho Tin Ko, et al.2026
28. R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language ModelsLanguage Resources and Evaluation Conference (LREC)Julian Schelb, Orr Borin, David Garcia, et al.2026

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