---
title: "Yao Fu — papers"
description: "Yao Fu: 7 papers in the Elamur Research library (2022–2024) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/yao-fu/"
---
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# Yao Fu

7 papers on this site (2022–2024)

[OpenAlex](https://openalex.org/A5091640552) · [ORCID](https://orcid.org/0000-0002-8931-3665) · h-index 17 · 99 works · 956 citations (openalex-snapshot, 2026-10-14)

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

- [Data Engineering for Scaling Language Models to 128K Context](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/) — Yao Fu, Rameswar Panda, Xinyao Niu, et al. · 2024
- [DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads](https://md.research.elamur.ai/free/en/papers/xiao-2024-duoattention-efficient-long-context-llm/) — Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al. · 2024
- [C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models](https://md.research.elamur.ai/free/en/papers/huang-2023-c-eval-multi-level-multi/) — Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al. · 2023
- [Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback](https://md.research.elamur.ai/free/en/papers/fu-2023-improving-language-model-negotiation-self/) — Yao Fu, Hao Peng, Tushar Khot, et al. · 2023
- [MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning](https://md.research.elamur.ai/free/en/papers/yue-2023-mammoth-building-math-generalist-models/) — Xiang Yue, Xingwei Qu, Ge Zhang, et al. · 2023
- [Specializing Smaller Language Models towards Multi-Step Reasoning](https://md.research.elamur.ai/free/en/papers/fu-2023-specializing-smaller-language-models-towards/) — Yao Fu, Hao Peng, Litu Ou, et al. · 2023
- [Complexity-Based Prompting for Multi-Step Reasoning](https://md.research.elamur.ai/free/en/papers/fu-2022-complexity-based-prompting-multi-step/) — Yao Fu, Hao Peng, Ashish Sabharwal, et al. · 2022
