Jianfeng Chi's Homepage

Research Scientist
GenAI, Meta

Email: jianfengchi(AT)meta(DOT)com

[Google Scholar] [Twitter] [LinkedIn]

[Meta Homepage] [Github]

 

About Me


I am a research scientist at GenAI Meta, working on LLM safety and simulation problems. Previously, I received my Ph.D. in Computer Science from the University of Virginia in 2022. During my Ph.D. study, I interned at Facebook and Amazon. My research interests broadly lie in machine learning and natural language processing, with a specific focus on trustworthy AI.

Open-source Artifacts


I have contributed the following open-source artifacts:

Selected Publications / Preprints


* indicates equal contributions, listed in alphabetical order.
indicates students or interns I mentored.

For a full list of my publications/manuscripts, please go to my Google Scholar webpage.


Llama-Guard: LLM-based Input-Output Safeguard for Human-AI Conversations (Featured work by AI at Meta)
Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, Madian Khabsa.
[pdf] [blog post] [Huggingface checkpoint][code]

Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation
Kunlin Cai, Jinghuai Zhang, Will Shand, Zhiqing Hong, Guang Wang, Desheng Zhang, Jianfeng Chi, Yuan Tian.
[pdf]

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods (ICLR 2024)
Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu.
[pdf][code]

PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English (ACL 2023)
Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang.
[pdf][code]

Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies (EACL 2023)
Md Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang.
[pdf]

Conditional Supervised Contrastive Learning for Fair Text Classification (EMNLP Findings 2022)
Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian.
[pdf][code]

Towards Return Parity in Markov Decision Processes (AISTATS 2022)
Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao.
[pdf] [code]

Understanding and Mitigating Accuracy Disparity in Regression (ICML 2021)
Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao.
[pdf] [code]

Intent Classification and Slot Filling for Privacy Policies (ACL 2021)
Wasi Uddin Ahmad*, Jianfeng Chi*, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang.
[pdf] [code] [Video]

Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation (NeurIPS 2020)
Jianfeng Chi*, Han Zhao*, Yuan Tian, Geoffrey J. Gordon.
[pdf] [Poster] [Slides]

PolicyQA: A Reading Comprehension Dataset for Privacy Policies (EMNLP Findings 2020)
Wasi Uddin Ahmad*, Jianfeng Chi*, Yuan Tian, Kai-Wei Chang.
[pdf] [code]

Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries (USENIX Security 2020)
Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian.
[pdf] [code]

Professional Services


PC Member/Reviewer:

Conferences:

Journals: