---
title: "Beijing Academy of Artificial Intelligence — research"
description: "Beijing Academy of Artificial Intelligence (Beijing, China): 12 works on the Elamur Research site, 7 people with a page, 6 547 citations; its topics…"
canonical: "https://research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [labs](https://md.research.elamur.ai/free/en/labs/) / Beijing Academy of Artificial Intelligence

# Beijing Academy of Artificial Intelligence

Research institute [Beijing](https://md.research.elamur.ai/free/en/agglomerations/beijing/), Chinain the agglomeration of [Beijing](https://md.research.elamur.ai/free/en/agglomerations/beijing/) · BAAI

- [Website](https://www.baai.ac.cn/)
- [ROR](https://ror.org/016a74861)
- [OpenAlex](https://openalex.org/I4210100255)

[**12** works in our library](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/works/) · [**7** authors with a page](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/#authors) · [**6 547** citations of these works](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/works/) · [**2 170** citations in our library](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/works/)

## People (7)

Authors with a page here who worked or studied at Beijing Academy of Artificial Intelligence, confirmed by their records or by their bylines: first those whose cited work was done most here; beside each, their citations.

- [Jie Tang](https://md.research.elamur.ai/free/en/authors/jie-tang/) — 2021–2023 on 6 papers · 12 papers here · 30 698 citations
- [Ledell Wu](https://md.research.elamur.ai/free/en/authors/ledell-wu/) — 2022–2024 on 12 papers · 2 papers here · 6 312 citations
- [Zhengxiao Du](https://md.research.elamur.ai/free/en/authors/zhengxiao-du/) — 2021–2022 on 4 papers · 7 papers here · 6 924 citations
- [Xiao Liu](https://md.research.elamur.ai/free/en/authors/xiao-liu/) — 2021–2022 on 4 papers · 10 papers here · 8 147 citations
- [Zheng Liu](https://md.research.elamur.ai/free/en/authors/zheng-liu/) — current · 2023–2026 on 87 papers · employment (ORCID) · 2 papers here · 2 733 citations
- [Shitao Xiao](https://md.research.elamur.ai/free/en/authors/shitao-xiao/) — current · 2023–2026 on 40 papers · 2 papers here · 2 625 citations
- [Rui Yan](https://md.research.elamur.ai/free/en/authors/rui-yan/) — 2020–2023 on 17 papers · 4 papers here · 2 509 citations

**Also published with this affiliation (21)**

Matched by the bylines of their papers, not confirmed: few papers there, or a small part of their work.

- [Zhiyuan Liu](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/) — 2020–2023 on 14 papers · 23 papers here · 16 385 citations
- [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/) — 2020–2023 on 23 papers · 20 papers here · 15 081 citations
- [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/) — 2021–2022 on 4 papers · 9 papers here · 9 198 citations
- [Wayne Xin Zhao](https://md.research.elamur.ai/free/en/authors/wayne-xin-zhao/) — 2021–2022 on 12 papers · 8 papers here · 8 571 citations
- [Yequan Wang](https://md.research.elamur.ai/free/en/authors/yequan-wang/) — current · 2022–2026 on 47 papers · 2 papers here · 2 654 citations
- [Zheng Zhang](https://md.research.elamur.ai/free/en/authors/zheng-zhang/) — 2023–2024 on 2 papers · 9 papers here · 39 632 citations
- [Zhilin Yang](https://md.research.elamur.ai/free/en/authors/zhilin-yang/) — 2022 on 2 papers · 9 papers here · 13 681 citations
- [Kang Liu](https://md.research.elamur.ai/free/en/authors/kang-liu/) — 2022–2025 on 8 papers · 8 papers here · 7 010 citations
- [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) — 2022–2023 on 4 papers · 7 papers here · 4 147 citations
- [Peitian Zhang](https://md.research.elamur.ai/free/en/authors/peitian-zhang/) — current · 2024–2025 on 5 papers · 3 papers here · 2 380 citations
- [Shikun Feng](https://md.research.elamur.ai/free/en/authors/shikun-feng/) — current · 2026 on 1 paper · 3 papers here · 2 358 citations
- [Xianpei Han](https://md.research.elamur.ai/free/en/authors/xianpei-han/) — 2022 on 5 papers · 5 papers here · 2 254 citations
- [Jiajun Zhang](https://md.research.elamur.ai/free/en/authors/jiajun-zhang/) — 2020–2021 on 4 papers · 2 papers here · 1 435 citations
- [Wenqiang Lei](https://md.research.elamur.ai/free/en/authors/wenqiang-lei/) — 2022–2024 on 2 papers · 3 papers here · 1 229 citations
- [Song-Chun Zhu](https://md.research.elamur.ai/free/en/authors/song-chun-zhu/) — 2021–2026 on 9 papers · 4 papers here · 1 192 citations
- [Yaodong Yang](https://md.research.elamur.ai/free/en/authors/yaodong-yang/) — 2024–2026 on 8 papers · 2 papers here · 977 citations
- [Chaoqun He](https://md.research.elamur.ai/free/en/authors/chaoqun-he/) — current · 2026 on 1 paper · 2 papers here · 706 citations
- [Bowen Zhang](https://md.research.elamur.ai/free/en/authors/bowen-zhang/) — 2023–2024 on 7 papers · 4 papers here · 602 citations
- [Liu Yang](https://md.research.elamur.ai/free/en/authors/liu-yang/) — 2020–2021 on 12 papers · 3 papers here · 511 citations
- [Shuicheng Yan](https://md.research.elamur.ai/free/en/authors/shuicheng-yan/) — 2023–2024 on 3 papers · 2 papers here · 309 citations
- [Wenji Mao](https://md.research.elamur.ai/free/en/authors/wenji-mao/) — current · 2026 on 1 paper · 2 papers here · 272 citations

## Works in our library (12)

The most cited first (OpenAlex citations plus our library's).

- [GLM: General Language Model Pretraining with Autoregressive Blank Infilling](https://md.research.elamur.ai/free/en/papers/du-2022-glm-general-language-model-pretraining/) — Zhengxiao Du, Yujie Qian, Xiao Liu, et al. · 2022 · 1 449 citations
- [Parameter-efficient fine-tuning of large-scale pre-trained language models](https://md.research.elamur.ai/free/en/papers/ding-2023-parameter-efficient-fine-tuning-large/) — Ning Ding, Yujia Qin, Guang You Yang, et al. · 2023 · 1 324 citations
- [P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2022-p-tuning-prompt-tuning-can/) — Xiao Liu, Kaixuan Ji, Yicheng Fu, et al. · 2022 · 1 013 citations
- [C-Pack: Packed Resources For General Chinese Embeddings](https://md.research.elamur.ai/free/en/papers/xiao-2023-c-pack-packed-resources/) — Shitao Xiao, Zheng Liu, Peitian Zhang, et al. · 2023 · 920 citations
- [PPT: Pre-trained Prompt Tuning for Few-shot Learning](https://md.research.elamur.ai/free/en/papers/gu-2022-ppt-pre-trained-prompt-tuning/) — Yuxian Gu, Xu Han, Zhiyuan Liu, et al. · 2022 · 467 citations
- [P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2021-p-tuning-v2-prompt-tuning/) — Xiao Liu, Kaixuan Ji, Yicheng Fu, et al. · 2021 · 464 citations
- [OpenPrompt: An Open-source Framework for Prompt-learning](https://md.research.elamur.ai/free/en/papers/ding-2022-openprompt-open-source-framework-prompt/) — Ning Ding, Shengding Hu, Weilin Zhao, et al. · 2022 · 278 citations
- [Knowledge-Grounded Dialogue Generation with Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2020-knowledge-grounded-dialogue-generation-pre/) — Xueliang Zhao, Wei Wu, Can Xu, et al. · 2020 · 244 citations
- [Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/singh-2024-aya-dataset-open-access-collection/) — Shivalika Singh, Freddie Vargus, Daniel D'souza, et al. · 2024 · 202 citations
- [JudgeLM: Fine-tuned Large Language Models are Scalable Judges](https://md.research.elamur.ai/free/en/papers/zhu-2023-judgelm-fine-tuned-large-language/) — Lianghui Zhu, Xinggang Wang, Xinlong Wang · 2023 · 141 citations

[All 12 works →](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/works/)

## Topics

What its works here are about; the number is its works on the topic.

[🧠 Language models & pretraining 5](https://md.research.elamur.ai/free/en/topics/language-models/) · [😊 Sentiment & emotion 1](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [🗨️ Dialogue systems 1](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [🌍 Multilingual & cross-lingual NLP 1](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [🧮 Reasoning 1](https://md.research.elamur.ai/free/en/topics/reasoning/) · [🧷 Idioms & multiword expressions 1](https://md.research.elamur.ai/free/en/topics/multiword-expressions/)

Fields: [Natural language processing](https://md.research.elamur.ai/free/en/shelves/nlp/) (7) · [Linguistics & languages](https://md.research.elamur.ai/free/en/shelves/linguistics/) (2)

## Collaborates with

Institutions on the bylines of the same works here; the number is the works they share.

[Tsinghua University 6](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) [Université de Montréal 1](https://md.research.elamur.ai/free/en/universities/universite-de-montreal/) [Massachusetts Institute of Technology 2](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) [University of Toronto 1](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) [Peking University 1](https://md.research.elamur.ai/free/en/universities/peking-university/) [MIT Computer Science and Artificial Intelligence Laboratory 1](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) [Nanyang Technological University 1](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) [Chinese Academy of Sciences 1](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) [Renmin University of China 1](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) [State Key Laboratory of Intelligent Technology and Systems 1](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-intelligent-technology-and-systems/) [University of Chinese Academy of Sciences 1](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) [King Fahd University of Petroleum and Minerals 1](https://md.research.elamur.ai/free/en/universities/king-fahd-university-of-petroleum-and-minerals/)

Works and people from the bylines of the papers (OpenAlex): a person listed here worked or studied at Beijing Academy of Artificial Intelligence; employment or education is named only where the person's ORCID record or Wikidata says so. Institution data from ROR and OpenAlex.