--- title: "Who cites Nitay Calderon — 37 papers of our library" description: "37 papers of the Elamur Research library cite the works of Nitay Calderon, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/nitay-calderon/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nitay-calderon/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Nitay Calderon](https://md.research.elamur.ai/free/en/authors/nitay-calderon/) / cited by # Who cites Nitay Calderon 40 citations of their works from 37 papers of our library (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← Nitay Calderon](https://md.research.elamur.ai/free/en/authors/nitay-calderon/) 1. **[The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs](https://md.research.elamur.ai/free/en/papers/calderon-2025-alternative-annotator-test-llm-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nitay Calderon, Roi Reichart, Rotem Dror*2025 · 52 citations* 2. **[Enhancing Automated Interpretability with Output-Centric Feature Descriptions](https://md.research.elamur.ai/free/en/papers/arieh-2025-enhancing-automated-interpretability-output-centric/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yoav Gur-Arieh, Roy Mayan, Chen Agassy, et al.*2025 · 13 citations* 3. **[Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection](https://md.research.elamur.ai/free/en/papers/stacey-2026-improving-ood-performance-closed-source/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joe Stacey, Lisa Alazraki, Aran Ubhi, et al.*2026 · 1 citation* 4. **[When LLMs Annotate: Reliability Challenges in Low-Resource NLI](https://md.research.elamur.ai/free/en/papers/panahi-2026-when-llms-annotate-reliability-challenges/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Solmaz Panahi, John Kelleher, Vasudevan Nedumpozhimana*2026 · 1 citation* 5. [**BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German Law arXiv:2605.28183**Sebastian Nagl, Ann-Kristin Mayrhofer, Martin Heidebach, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nagl-2026-benger-benchmarking-llm-systems-subsumption/) 6. **[Disentangling Annotator Skill from Verifier Strictness in Cross-Verified Dialogue Annotation](https://md.research.elamur.ai/free/en/papers/tao-2026-disentangling-annotator-skill-verifier-strictness/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Zihao Tao, John A. Prado, Ignazio Steven LaManna, et al.*2026* 7. [**Don't ‘Well, Actually' Me Unless You Know What You're Talking About: Weak Presupposition Verification Degrades General QA Performance arXiv:2608.06539**Shenran Wang, Vered Shwartz, Hila Gonen*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-don-t-well-actually-me/) 8. **[Gold Label Errors in the SciFact Benchmark: An LLM-Assisted Annotation Audit](https://md.research.elamur.ai/free/en/papers/sylvestre-2026-gold-label-errors-scifact-benchmark/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Julien Sylvestre*2026* 9. **[How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response Drafting](https://md.research.elamur.ai/free/en/papers/seegmiller-2026-how-much-would-clinician-edit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Parker Seegmiller, Joseph Gatto, Sarah E. Greer, et al.*2026* 10. **[Human vs LLM in Conversational Repair Annotation: A New Resource and Comparative Study](https://md.research.elamur.ai/free/en/papers/ngo-2026-human-vs-llm-conversational-repair/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Anh Ngo, Nicolas Rollet, Catherine Pelachaud, et al.*2026* 11. **[LLM as a Morphological Disambiguator for Belarusian: A Preliminary Study](https://md.research.elamur.ai/free/en/papers/poritski-2026-llm-as-morphological-disambiguator-belarusian/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Vladislav Poritski, Oksana Volchek, Ilia Afanasev*2026* 26 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/nitay-calderon/) — Nitay Calderon