---
title: "Who cites SpreadsheetCoder: Formula — 24 citing papers"
description: "24 papers of the Elamur Research library cite «SpreadsheetCoder: Formula Prediction from Semi-structured Context», found in their…"
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---
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# Who cites «SpreadsheetCoder: Formula Prediction from Semi-structured Context»

24 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «SpreadsheetCoder: Formula Prediction from Semi-structured Context»](https://md.research.elamur.ai/free/en/papers/chen-2021-spreadsheetcoder-formula-prediction-semi-structured/)

1. [**FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU arXiv:2303.06865**Ying Sheng, Lianmin Zheng, Binhang Yuan, et al.*2023 · 402 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2023-flexgen-high-throughput-generative-inference/)
2. **[Natural Language to Code Generation in Interactive Data Science Notebooks](https://md.research.elamur.ai/free/en/papers/yin-2023-natural-language-code-generation-interactive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengcheng Yin, Wen-Ding Li, Kefan Xiao, et al.*2023 · 63 citations*
3. [**MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs ASPLOS 2025**Shiyi Cao, Shu Liu, Tyler Griggs, et al.*2024 · 51 citations*](https://md.research.elamur.ai/free/en/papers/cao-2024-moe-lightning-high-throughput-moe/)
4. **[FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining](https://md.research.elamur.ai/free/en/papers/cheng-2022-fortap-formulas-numerical-reasoning-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhoujun Cheng, Haoyu Dong, Ran Jia, et al.*2022 · 36 citations*
5. **[Symbolic Regression with a Learned Concept Library](https://md.research.elamur.ai/free/en/papers/grayeli-2024-symbolic-regression-learned-concept-library/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, et al.*2024 · 23 citations*
6. **[SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation](https://md.research.elamur.ai/free/en/papers/ma-2024-spreadsheetbench-towards-challenging-real-world/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zeyao Ma, Bohan Zhang, Jing Zhang, et al.*2024 · 21 citations*
7. **[NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries](https://md.research.elamur.ai/free/en/papers/zhao-2024-nl2formula-generating-spreadsheet-formulas-natural/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wei Zhao, Zhitao Hou, Siyuan Wu, et al.*2024 · 11 citations*
8. **[Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula](https://md.research.elamur.ai/free/en/papers/shuai-2026-learning-near-misses-error-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhihao Shuai, Yiyun Chen, Maolin Ma, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/chen-2021-spreadsheetcoder-formula-prediction-semi-structured/) — SpreadsheetCoder: Formula Prediction from Semi-structured Context