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ORCIDJiaqi Ma 0004
Person information
- affiliation: University of Illinois Urbana-Champaign, UIUC, IL, USA
- affiliation: Harvard University, School of Engineering and Applied Sciences, SEAS, Boston, USA
Other persons with the same name
- Jiaqi Ma — disambiguation page
- Jiaqi Ma 0001
![[0000-0001-8292-5901]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8292-5901")
— University of Michigan, School of Information, Ann Arbor, MI, USA - Jiaqi Ma 0002 — School of Computer, Wuhan University, China
- Jiaqi Ma 0003 — University of California at Los Angeles, Department of Civil and Environmental Engineering, UCLA Mobility Lab, Los Angeles, CA, USA
- Jiaqi Ma 0005 — Beijing University of Technology, Faculty of Information Technology, China
- Jiaqi Ma 0006 — Harbin University of Commerce, School of Computer and Information Engineering, China
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2020 – today
- 2024
[c4]Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Himabindu Lakkaraju:
Fair Machine Unlearning: Data Removal while Mitigating Disparities. AISTATS 2024: 3736-3744- [c3]Yanchen Liu, Srishti Gautam, Jiaqi Ma, Himabindu Lakkaraju:
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications. NAACL-HLT 2024: 3603-3620 - [i7]Jiaqi Ma, Vivian Lai, Yiming Zhang, Chacha Chen, Paul Hamilton, Davor Ljubenkov, Himabindu Lakkaraju, Chenhao Tan:
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning. CoRR abs/2403.05565 (2024) - 2023
- [c2]Satyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju:
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten. ICML 2023: 17808-17826 - [c1]Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju:
Post Hoc Explanations of Language Models Can Improve Language Models. NeurIPS 2023 - [i6]Satyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju:
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten. CoRR abs/2302.04288 (2023) - [i5]Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju:
Post Hoc Explanations of Language Models Can Improve Language Models. CoRR abs/2305.11426 (2023) - [i4]Skyler Wu, Eric Meng Shen, Charumathi Badrinath, Jiaqi Ma, Himabindu Lakkaraju:
Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions. CoRR abs/2307.13339 (2023) - [i3]Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Hima Lakkaraju:
Fair Machine Unlearning: Data Removal while Mitigating Disparities. CoRR abs/2307.14754 (2023) - [i2]Catherine Huang, Chelse Swoopes, Christina Xiao, Jiaqi Ma, Himabindu Lakkaraju:
Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage. CoRR abs/2308.04341 (2023) - [i1]Yanchen Liu, Srishti Gautam, Jiaqi Ma, Himabindu Lakkaraju:
Investigating the Fairness of Large Language Models for Predictions on Tabular Data. CoRR abs/2310.14607 (2023)
Coauthor Index
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