Welcome to Huanhuan Ma (Andy)’s Personal Homepage!
I am a master student at the Institute of Automation, Chinese Academy of Sciences (expected to graduate in June 2024). Additionally, I am a member at the Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR). I am fortunate to be advised by Qiang Liu and Liang Wang.
My research interests lie in the field of natural language processing (NLP), with a focus on fake information detection, including fact verification and out-of-context detection. Currently, I am highly intrigued by exploring the intersection of Large Language Models (LLMs) and AI safety.
I have spent wonderful time at BAAI, and NC State as a research intern/assistant.
🔥 News
- 2024.07: 🎉🎉 A CIKM short paper has been accepted. Congratulations to YiFan Wei🎉.
- 2024.05: 📢 Our paper “EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification” has been accepted to ACL 2024 Findings!
- 2023.12: 🎉 Our paper “Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization” has been accepted as an oral presentation at ICASSP 2024!
- 2023.10: 🎉 Our paper “MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models” has been accepted to EMNLP 2023 Findings!
📝 Publications
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen, Liang Wang, Qiang Liu, Shu Wu, Liang Wang
Findings of the Association for Computational Linguistics ACL 2024
We introduce a large scale Multi-hop fact checking dataset with textual explanations, which can be used to evaluate the explainability of fact verification models.
Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization
Huanhuan Ma*, Jinghao Zhang*, Qiang Liu, Shu Wu, Liang Wang
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024
We introduce a novel multimodal out-of-context detection framework with soft logic regularization, which can effectively detect out-of-context information with interpretability.
Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu
Findings of the Association for Computational Linguistics: EMNLP 2023
We construct Multiple Sensitive Factors Time QA (MenatQA), which encompasses three temporal factors (scope factor, order factor, counterfactual factor) with total 2,853 samples for evaluating the time comprehension and reasoning abilities of LLMs.
Assessing knowledge editing in language models via relation perspective
Yifan Wei, Xiaoyan Yu, Huanhuan Ma, Fangyu Lei, Yixuan Weng, Ran Song, Kang Liu
Multi-Cause Learning for Diagnosis Prediction
Liping Wang, Qiang Liu, Huanhuan Ma, Shu Wu, Liang Wang
Data Mining and Big Data (DMBD) 2022
🚀 Projects
- Awesome-LLM-based-Evaluators: A curated list of LLM-based evaluators for various NLP tasks.
📖 Educations
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2021.09 - 2024.07, M.S. in Artificial Intelligence, Institute of Automation, Chinese Academy of Sciences. Advisors: Prof. Liang Wang and Prof. Qiang Liu.
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2016.09 - 2020.07, B.E. in Software Engineering, Zhengzhou University.
💻 Internships
- 2024.07 - Present: Research Intern, BAAI, Beijing, China.
- 2023.12 - Present: Research Assistant, NC State University, Generative Intelligent Computing (GIC) Lab, NC, USA.
📅 Academic Services
📖 Reviewers
- Annual Conference on Neural Information Processing Systems (NeurIPS) Dataset&Benchmark track 2023, Reviewer
- ACM International Conference on Information and Knowledge Management (CIKM) 2024, PC member