---
title: "David Dohan — papers"
description: "David Dohan: 4 papers in the Elamur Research library (2018–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/david-dohan/"
---
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# David Dohan

4 papers on this site (2018–2023)

[OpenAlex](https://openalex.org/A5069446643) · h-index 14 · 25 works · 2701 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Large Language Models Can Be Easily Distracted by Irrelevant Context](https://md.research.elamur.ai/free/en/papers/shi-2023-large-language-models-easily-distracted/) — Freda Shi, Xinyun Chen, Kanishka Misra, et al. · 2023
- [Solving Quantitative Reasoning Problems with Language Models](https://md.research.elamur.ai/free/en/papers/lewkowycz-2022-solving-quantitative-reasoning-problems-language/) — Aitor Lewkowycz, Anders Andreassen, David Dohan, et al. · 2022
- [Program Synthesis with Large Language Models](https://md.research.elamur.ai/free/en/papers/austin-2021-program-synthesis-large-language-models/) — Jacob Austin, Augustus Odena, Maxwell Nye, et al. · 2021
- [QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension](https://md.research.elamur.ai/free/en/papers/yu-2018-qanet-combining-local-convolution-global/) — Adams Wei Yu, David Dohan, Minh-Thang Luong, et al. · 2018