---
title: "Who cites Improving Length-Generalization in — 7 citing papers"
description: "7 papers of the Elamur Research library cite «Improving Length-Generalization in Transformers via Task Hinting», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/awasthi-2023-improving-length-generalization-transformers-task/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/awasthi-2023-improving-length-generalization-transformers-task/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Improving Length-Generalization in Transformers…](https://md.research.elamur.ai/free/en/papers/awasthi-2023-improving-length-generalization-transformers-task/) / cited by

# Who cites «Improving Length-Generalization in Transformers via Task Hinting»

7 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Improving Length-Generalization in Transformers via Task Hinting»](https://md.research.elamur.ai/free/en/papers/awasthi-2023-improving-length-generalization-transformers-task/)

1. [**H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models arXiv:2306.14048**Zhenyu Zhang, Ying Sheng, Tianyi Zhou, et al.*2023 · 124 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-h-2-o-heavy-hitter/)
2. [**What Algorithms can Transformers Learn? A Study in Length Generalization arXiv:2310.16028**Hattie Zhou, Arwen Bradley, Etai Littwin, et al.*2023 · 67 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-algorithms-transformers-learn-study-length/)
3. [**Transformers Can Achieve Length Generalization But Not Robustly arXiv:2402.09371**Yongchao Zhou, Uri Alon, Xinyun Chen, et al.*2024 · 29 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2024-transformers-achieve-length-generalization-but/)
4. **[Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles](https://md.research.elamur.ai/free/en/papers/shah-2024-causal-language-modeling-elicit-search/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Kulin Shah, Nishanth Dikkala, Xin Wang, et al.*2024 · 12 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/awasthi-2023-improving-length-generalization-transformers-task/) — Improving Length-Generalization in Transformers via Task Hinting