Jiaqi Ma

According to our database, Jiaqi Ma authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning.

Jiaqi Ma, Vivian Lai, Yiming Zhang, Chacha Chen, Paul Hamilton, Davor Ljubenkov, Himabindu Lakkaraju, Chenhao Tan

CoRR, 2024

Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications.

Yanchen Liu, Srishti Gautam, Jiaqi Ma, Himabindu Lakkaraju

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Fair Machine Unlearning: Data Removal while Mitigating Disparities.

Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Himabindu Lakkaraju

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Investigating the Fairness of Large Language Models for Predictions on Tabular Data.

Yanchen Liu, Srishti Gautam, Jiaqi Ma, Himabindu Lakkaraju

CoRR, 2023

Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage.

Catherine Huang, Chelse Swoopes, Christina Xiao, Jiaqi Ma, Himabindu Lakkaraju

CoRR, 2023

Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions.

Skyler Wu, Eric Meng Shen, Charumathi Badrinath, Jiaqi Ma, Himabindu Lakkaraju

CoRR, 2023

Post Hoc Explanations of Language Models Can Improve Language Models.

Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten.

Satyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju

Proceedings of the International Conference on Machine Learning, 2023