---
title: "Who cites FollowBench: A Multi-level — 69 citing papers"
description: "69 papers of the Elamur Research library cite «FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language…"
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---
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# Who cites «FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models»

69 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models»](https://md.research.elamur.ai/free/en/papers/jiang-2024-followbench-multi-level-fine-grained/)

1. [**TrustLLM: Trustworthiness in Large Language Models arXiv:2401.05561**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/) **[InFoBench: Evaluating Instruction Following Ability in Large Language Models](https://md.research.elamur.ai/free/en/papers/qin-2024-infobench-evaluating-instruction-following-ability/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiwei Qin, Kaiqiang Song, Yebowen Hu, et al.*2024 · 133 citations* **[KCIF: Knowledge-Conditioned Instruction Following](https://md.research.elamur.ai/free/en/papers/murthy-2026-kcif-knowledge-conditioned-instruction-following/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Rudra Murthy, Praveen Venkateswaran, Prince Kumar, et al.*2026 · 2 citations* **[InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in Summarization](https://md.research.elamur.ai/free/en/papers/nishida-2026-instructsum-benchmark-evaluate-instruction-following/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kosuke Nishida, Kyosuke Nishida, Itsumi Saito*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/jiang-2024-followbench-multi-level-fine-grained/) — FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models