--- title: "Who cites Exploring the Reliability of Large — 6 citing papers" description: "6 papers of the Elamur Research library cite «Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP…" canonical: "https://research.elamur.ai/free/en/papers/li-2025-exploring-reliability-large-language-models/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/li-2025-exploring-reliability-large-language-models/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Exploring the Reliability of Large Language…](https://md.research.elamur.ai/free/en/papers/li-2025-exploring-reliability-large-language-models/) / cited by # Who cites «Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks» 6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks»](https://md.research.elamur.ai/free/en/papers/li-2025-exploring-reliability-large-language-models/) 1. **[Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations](https://md.research.elamur.ai/free/en/papers/zhou-2025-graders-should-cheat-privileged-information/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jin Peng Zhou, Séb Arnold, Nan Ding, et al.*2025 · 3 citations* 2. **[Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/zheng-2026-model-directions-not-words-mechanistic/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, et al.*2026* 4 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/li-2025-exploring-reliability-large-language-models/) — Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks