Haoyi Qiu

I am a first-year PhD student in Computer Science at the UCLA advised by Prof. Nanyun (Violet) Peng. Before, I graduated from the University of Michigan, with a B.S. in Computer Science and Math, advised by Prof. Joyce Y. Chai.

My current research focuses on evaluation (factuality, faithfulness, and trustworthiness), multimodality (vision and language), and fairness and bias.

Email: haoyiqiu@g.ucla.edu 💌 /  Google Scholar 👩🏻‍🎓  /  Twitter 📝  /  Life 🌷  / 

☁️ I'm joining Salesforce as a research intern at Palo Alto this summer!

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Service
Reviewer: ACL ARR 2024, EMNLP 2023 (Outstanding Award)
Research Projects
VALOR-Eval: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models
Haoyi Qiu*, Wenbo Hu*, Zi-Yi Dou, Nanyun Peng
Arxiv, 2024
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models
Kung-Hsiang Huang, Hou Pong Chan, Yi R. Fung, Haoyi Qiu, Mingyang Zhou, Shafiq Joty, Shih-Fu Chang, Heng Ji
Arxiv, 2024
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation
Haoyi Qiu, Kung-Hsiang Huang*, Jingnong Qu*, Nanyun Peng
NAACL, 2024 (Oral)
New Job, New Gender? Measuring the Social Bias in Image Generation Models
Wenxuan Wang, Haonan Bai, Jen-tse Huang, Yuxuan Wan, Youliang Yuan, Haoyi Qiu, Nanyun Peng, Michael R Lyu
Arxiv, 2024
Gender Biases in Automatic Evaluation Metrics for Image Captioning
Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, Nanyun Peng
EMNLP, 2023


Education Experience
University of California, Los Angeles
Master of Science in Computer Science
Sep 2022 - Current
University of Michigan
Bachelor of Science in Computer Science, Pure Mathematics, and Statistics
May 2022


Teaching Experience
Teaching Assistant: Intro to AI (EECS 492)
University of Michigan, FA 2021


Working Experience
Meta
Machine Learning Engineer Intern
May. 2022 - Aug. 2022

Goldman Sachs
Engineering Summer Analyst
Jun. 2021 - Aug. 2021


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