---
title: "Damai Dai — papers"
description: "Damai Dai: 6 papers in the Elamur Research library (2023–2025) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/damai-dai/"
---
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# Damai Dai

6 papers on this site (2023–2025)

[OpenAlex](https://openalex.org/A5020456783) · [ORCID](https://orcid.org/0009-0004-9714-7902) · h-index 23 · 77 works · 4234 citations (openalex-snapshot, 2026-10-14)

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

- [Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention](https://md.research.elamur.ai/free/en/papers/yuan-2025-native-sparse-attention-hardware/) — Jingyang Yuan, Huazuo Gao, Damai Dai, et al. · 2025
- [DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding](https://md.research.elamur.ai/free/en/papers/wu-2024-deepseek-vl2-mixture-experts/) — Zhiyu Wu, Xiaokang Chen, Zizheng Pan, et al. · 2024
- [Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations](https://md.research.elamur.ai/free/en/papers/wang-2024-math-shepherd-verify-reinforce-llms/) — Peiyi Wang, Lei Li, Zhihong Shao, et al. · 2024
- [A Survey on In-context Learning](https://md.research.elamur.ai/free/en/papers/dong-2023-survey-context-learning/) — Qingxiu Dong, Lei Li, Damai Dai, et al. · 2023
- [Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning](https://md.research.elamur.ai/free/en/papers/wang-2023-label-words-anchors-information-flow/) — Lean Wang, Lei Li, Damai Dai, et al. · 2023
- [Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers](https://md.research.elamur.ai/free/en/papers/dai-2023-why-can-gpt-learn-context/) — Damai Dai, Yutao Sun, Li Dong, et al. · 2023
