---
title: "Who cites T2I-CompBench++: An Enhanced — 34 citing papers"
description: "34 papers of the Elamur Research library cite «T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional…"
canonical: "https://research.elamur.ai/free/en/papers/huang-2023-t2i-compbench-enhanced-comprehensive-benchmark/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/huang-2023-t2i-compbench-enhanced-comprehensive-benchmark/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [T2I-CompBench++: An Enhanced and Comprehensive…](https://md.research.elamur.ai/free/en/papers/huang-2023-t2i-compbench-enhanced-comprehensive-benchmark/) / cited by

# Who cites «T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation»

34 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation»](https://md.research.elamur.ai/free/en/papers/huang-2023-t2i-compbench-enhanced-comprehensive-benchmark/)

1. **[VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation](https://md.research.elamur.ai/free/en/papers/ku-2024-viescore-explainable-metrics-conditional-image/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Max Ku, Dongfu Jiang, Cong Wei, et al.*2024 · 68 citations*
2. [**The Generative AI Paradox: "What It Can Create, It May Not Understand" arXiv:2311.00059**Peter West, Ximing Lu, Nouha Dziri, et al.*2023 · 62 citations*](https://md.research.elamur.ai/free/en/papers/west-2023-generative-ai-paradox-create-may/)
3. **[T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-t2i-reasonbench-benchmarking-reasoning-informed/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaiyue Sun, Rongyao Fang, Chengqi Duan, et al.*2026 · 8 citations*
4. **[IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation](https://md.research.elamur.ai/free/en/papers/tang-2026-igenbench-benchmarking-reliability-text-infographic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yinghao Tang, Xueding Liu, Boyuan Zhang, et al.*2026 · 1 citation*
5. **[REVEALER: Reinforcement-Guided Visual Reasoning for Element-Level Text-Image Alignment Evaluation](https://md.research.elamur.ai/free/en/papers/shi-2026-revealer-reinforcement-guided-visual-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**FuLin Shi, Wenyi Xiao, Leilei Gan, et al.*2026 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/huang-2023-t2i-compbench-enhanced-comprehensive-benchmark/) — T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation
