--- title: "Who cites Text Modular Networks: Learning — 46 citing papers" description: "46 papers of the Elamur Research library cite «Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models»…" canonical: "https://research.elamur.ai/free/en/papers/khot-2021-text-modular-networks-learning-decompose/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/khot-2021-text-modular-networks-learning-decompose/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Text Modular Networks: Learning to Decompose…](https://md.research.elamur.ai/free/en/papers/khot-2021-text-modular-networks-learning-decompose/) / cited by # Who cites «Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models» 46 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models»](https://md.research.elamur.ai/free/en/papers/khot-2021-text-modular-networks-learning-decompose/) 1. [**Binding Language Models in Symbolic Languages arXiv:2210.02875**Zhoujun Cheng, Tianbao Xie, Peng Shi, et al.*2022 · 167 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2022-binding-language-models-symbolic-languages/) **[ADaPT: As-Needed Decomposition and Planning with Language Models](https://md.research.elamur.ai/free/en/papers/prasad-2024-adapt-as-needed-decomposition-planning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Archiki Prasad, Alexander Koller, Mareike Hartmann, et al.*2024 · 85 citations* 43 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/khot-2021-text-modular-networks-learning-decompose/) — Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models