Qingyun Wang (@eagle

Qingyun Wang

136 posts

Qingyun Wang

@eagle_hz

Assistant Professor @williamandmary. CS Ph.D. in @uiuc_nlp. #AI4Research #AI4Science #NLP

Joined May 2017

Qingyun Wang
@eagle_hz
Dec 10, 2024
📢📈 I’m on the 2025 faculty job market! I've been incredibly grateful to work with inspiring advisors, mentors & peers. 💡My research, AI4Scientists🔬, accelerates & democratizes the research lifecycle by: 1️⃣ Few-shot scientific knowledge acquisition 2️⃣ Domain-aware scientific
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16K
Qingyun Wang
@eagle_hz
Oct 6, 2024
🚀 Launching the Second AI4Research Workshop at AAAI 2025 @RealAAAI! Dive into the interdisciplinary collaboration for breakthroughs in AI-assisted research lifecycle. Submit your research by Nov. 22!
sites.google.com
AI4Research
Overview Scientific papers sometimes lay dormant and largely unnoticed for long periods of time before suddenly attracting great attention — a phenomenon termed as "Sleeping beauties" in science by...
11K
Qingyun Wang
@eagle_hz
Mar 29, 2025
Thank you so much, @hengjinlp, for your unwavering support and mentorship since my undergraduate! I also deeply appreciate my references @JiaweiHan,@lifu_huang,@Hoper_Tom ,@gneubig , as well as many friends who have supported me along the way! I am excited to join @williamandmary
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9.6K
Qingyun Wang
@eagle_hz
Nov 18, 2024
Excited to see many AI4Research papers at #EMNLP2024. If you want to learn more, join us at AAAI 2025 for the Second AI4Research Workshop in Philadelphia! Our full-day workshop at AAAI 2025 on March 4th, 2025, dives deep into the entire AI-assisted scientific research lifecycle.
13K
Qingyun Wang
@eagle_hz
Mar 3, 2025
🚀Join us tomorrow in Room 122A for our 2nd AAAI @RealAAAI AI4Research workshop🧪! We have an exciting lineup of presentations from our amazing invited speakers—don’t miss out! #AI4Research #AAAI2025 sites.google.com/view/ai4resear…
Marinka Zitnik
@marinkazitnik
Mar 1, 2025
Excited to share our latest on multimodal AI and agents for drug design and therapeutic reasoning #AAAI2025 @RealAAAI 📅 Monday, 9 AM – AI2ASE: AI to Accelerate Science and Engineering, ai-2-ase.github.io/schedule/ 📅 Tuesday, 10 AM – AI4Research: Knowledge-Grounded Scientific
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Qingyun Wang
@eagle_hz
Nov 3, 2024
🚀 [CFP] Join Us at AAAI 2025 for the Second AI4Research Workshop! 🧪 Dive into the breakthroughs in AI-assisted research lifecycle. 🗓️Submission Deadline: Nov 24 @RealAAAI #callforpapers #aaai2025 #ai4research Submit your work now! twtr.to/_sqcK
7.9K
Qingyun Wang
@eagle_hz
Apr 11, 2025
Thank you @hengjinlp so much for mentoring me since my junior year! It feels like yesterday that you provided detailed feedback and helped refine my submission for my very first paper in ACL 2018. To prospective students and interns: I'm currently recruiting passionate students
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6.2K
Qingyun Wang
@eagle_hz
May 16, 2024
Excited to announce that our paper has been accepted to the #ACL2024 main track @aclmeeting ! The code is available at github.com/EagleW/clbd Paper: arxiv.org/abs/2305.14259 Sincere thanks to all my supervisors: @Hoper_Tom @_DougDowney @hengjinlp
Qingyun Wang
@eagle_hz
Feb 20, 2024
Can we generate novel scientific hypotheses based on literature? Introducing Scientific Inspiration Machines Optimized for Novelty (SciMON): 1. Mining past literature and scientific graphs for inspiration 2. Optimizing ideas for novelty by iteratively comparing to prior papers
github.com
GitHub - EagleW/Scientific-Inspiration-Machines-Optimized-for-Novelty: Official implementation of...
Official implementation of the ACL 2024: Scientific Inspiration Machines Optimized for Novelty - EagleW/Scientific-Inspiration-Machines-Optimized-for-Novelty
4.6K
Qingyun Wang
@eagle_hz
Mar 11, 2024
Excited to share our paper on fine-grained few-shot entity extraction accepted by #EACL2024 findings! A self-validation module, which reconstructs the original input from extracted entities, can improve performance dramatically! 📰shorturl.at/cvyEQ 💻shorturl.at/bhJK6
2.5K
Qingyun Wang
@eagle_hz
Feb 1, 2024
🚀 Dive into the future of research with our tutorial: "Towards a Human-Computer Collaborative Scientific Paper Lifecycle". Explore how #NLP revolutionizes the way we understand literature, develop experiments, draft, and evaluate scientific papers. shorturl.at/twYZ9
2.1K
Qingyun Wang
@eagle_hz
Feb 20, 2024
Can we generate novel scientific hypotheses based on literature? Introducing Scientific Inspiration Machines Optimized for Novelty (SciMON): 1. Mining past literature and scientific graphs for inspiration 2. Optimizing ideas for novelty by iteratively comparing to prior papers
8.2K
Qingyun Wang
@eagle_hz
May 2, 2023
🎉Thrilled to announce that our paper has been accepted by #ACL2023 Findings and is now available on arXiv. We will share our code soon. Thanks to all the co-authors! #ACL2023NLP #NLProc 👉Preprint: Multimedia Generative Script Learning for Task Planning arxiv.org/pdf/2208.12306…
3.6K
Qingyun Wang
@eagle_hz
May 24, 2023
Introducing our new framework for generating scientific ideas! We use LM to generate new ideas by retrieving inspiration from previous papers. Our model surpasses powerful LLMs but the task remains highly challenging. Paper bitly.ws/Fiut & code bitly.ws/Fiuz!
2.5K
Qingyun Wang
@eagle_hz
Mar 4, 2025
Welcome to our 2nd AAAI @RealAAAI AI4Research workshop in Room 122A. Come and join these wonderful speakers @WeiWang1973 @marinkazitnik @_DougDowney @aviadlevis @Jinho_D_Choi @cong_ml sites.google.com/view/ai4resear…
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