---
title: "Who cites TURINGBENCH: A Benchmark — 66 citing papers"
description: "66 papers of the Elamur Research library cite «TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text…"
canonical: "https://research.elamur.ai/free/en/papers/uchendu-2021-turingbench-benchmark-environment-turing-test/cited-by/"
---
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# Who cites «TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation»

66 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation»](https://md.research.elamur.ai/free/en/papers/uchendu-2021-turingbench-benchmark-environment-turing-test/)

1. [**AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback**Yann Dubois, Xuechen Li, Rohan Taori, et al.*2023 · 424 citations*](https://md.research.elamur.ai/free/en/papers/dubois-2023-alpacafarm-simulation-framework-methods-that/)
2. [**Whose Opinions Do Language Models Reflect?**Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.*2023 · 392 citations*](https://md.research.elamur.ai/free/en/papers/santurkar-2023-whose-opinions-language-models-reflect/)
3. [**RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors**Liam Dugan, Alyssa Hwang, Filip Trhlík, et al.*2024 · 110 citations*](https://md.research.elamur.ai/free/en/papers/dugan-2024-raid-shared-benchmark-robust-evaluation/)
4. [**StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements**Jillian Fisher, Skyler Hallinan, Ximing Lu, et al.*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/fisher-2024-styleremix-interpretable-authorship-obfuscation-distillation/)
5. [**Spotlights and Blindspots: Evaluating Machine-Generated Text Detection**Kevin Stowe, Kailash Patil*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/stowe-2026-spotlights-blindspots-evaluating-machine-generated/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/uchendu-2021-turingbench-benchmark-environment-turing-test/) — TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation