Qiang Ning

Chinese: 宁强

I’m currently a quantitative researcher at Jump Trading. I work in ML, AI, and finance.

I worked at AWS AI Labs, where I managed the launch of Titan LLM and Bedrock Guardrails; Alexa AI, where I was a tech lead in natural language question understanding; Allen Institute for AI (AI2), where I was a research scientist on AllenNLP.

I got my Ph.D. from UIUC / UPenn under the supervision of Prof. Dan Roth. Before that, I studied Electronical Engineering and Econ (double major) at Tsinghua University in China.

selected publications

Theory

Learnability with Indirect Supervision Signals

Kaifu Wang, Qiang Ning, and Dan Roth

NeurIPS, 2020

arXiv Bib Video Poster Slides

NLP

Evaluating models’ local decision boundaries via contrast sets

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, and 2 more authors

Findings of EMNLP, 2020

arXiv Bib Code

@article{gardner2020evaluating,
  title = {Evaluating models' local decision boundaries via contrast sets},
  author = {Gardner, Matt and Artzi, Yoav and Basmova, Victoria and Berant, Jonathan and Bogin, Ben and Chen, Sihao and Dasigi, Pradeep and Dua, Dheeru and Elazar, Yanai and Gottumukkala, Ananth and others},
  journal = {Findings of EMNLP},
  year = {2020}
}