Haoyi Qiu

I am a first-year PhD student in Computer Science at 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 making AI more trustworthy and improve its factuality and safety.

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

profile photo
Service

ACL Rolling Review Area Chair

Reviewer: ICLR 2025, ACL ARR 2024, EMNLP 2023 (Outstanding Award)

Research Projects

(* indicates authors with equal contributions.)

Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding
Kung-Hsiang Huang, Can Qin, Haoyi Qiu, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Arxiv, 2025
Evaluating Cultural and Social Awareness of LLM Web Agents
Haoyi Qiu, Alexander R. Fabbri, Divyansh Agarwal, Kung-Hsiang Huang, Sarah Tan, Nanyun Peng, Chien-Sheng Wu
NAACL Findings, 2025 Best Paper Nomination
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
TKDE, 2024
SafeWorld: Geo-Diverse Safety Alignment
Da Yin*, Haoyi Qiu*, Kung-Hsiang Huang, Kai-Wei Chang, Nanyun Peng
NeurIPS, 2024
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
ACM MM, 2024 (Oral)
VALOR-Eval: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models
Haoyi Qiu*, Wenbo Hu*, Zi-Yi Dou, Nanyun Peng
ACL Findings, 2024
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation
Haoyi Qiu, Kung-Hsiang Huang*, Jingnong Qu*, Nanyun Peng
NAACL, 2024 (Oral)
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
Salesforce AI Research
Research Intern. Hosts: Alexander R. Fabbri, Divyansh Agarwal, Chien-Sheng Wu
Jun. 2024 - Sep. 2024

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

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


This website is built using the source code from Jon Barron's public academic website.