Publications

Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Feedback
Andi Peng, Yuying Sun, Tianmin Shu, David Abel
Preprint
Learning with Language-Guided State Abstractions
Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie A. Shah
ICLR 2024
RSS Workshop on Social Intelligence in Humans and Robots, 2023 (oral)
Paper Slides
Preference-Conditioned Language-Guided Abstractions
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
HRI 2024
ICLR Workshop on LLM Agents, 2024
Paper
Aligning Robot Representations with Humans
Andreea Bobu*, Andi Peng*, Pulkit Agrawal, Julie A. Shah, Anca D. Dragan
HRI 2024
ICRA Workshop on Collaborative Robots and Work of the Future, 2022
RSS Workshop on Social Intelligence in Humans and Robot, 2022
NeurIPS Workshop on ML Safety, 2022
Paper
Getting Aligned on Representational Alignment
Ilia Sucholutsky*, Lukas Muttenthaler*, Adrian Weller, Andi Peng, …, Thomas L. Griffiths
Preprint
Paper
Human-Guided Complexity-Controlled Abstractions
Andi Peng*, Mycal Tucker*, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie A. Shah
NeurIPS 2023
Paper Code
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Stephen Casper*, Xander Davies*, …, Andi Peng, …, Dylan Hadfield-Menell
TMLR, 2023
Paper
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie A. Shah, Pulkit Agrawal
ICML 2023
NeurIPS Workshop on Human in the Loop Learning, 2022
Paper Poster Video Project Site MIT News (front page story)
Strengthening Subcommunities: Towards Sustainable Growth in AI Research
Andi Peng, Jessica Zosa Forde, Yonadav Shavit, Jonathan Frankle
ICLR Workshop on ML Evaluation Standards, 2022
Paper
Make Greenhouse-Gas Accounting Reliable — Build Interoperable Systems
Amy Luers, Leehi Yona, …, Andi Peng, …, Lucas Joppa
Nature, 2022
Paper
Investigations of Performance and Bias in Human-AI Teamwork in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
AAAI 2022 (oral, top 4%)
CHI Workshop on Trust and Reliance on AI-Human Teams, 2020 (oral)
Paper Dataset Poster
On the Nature of Bias Percolation: Assessing Multiaxial Collaboration in Human-AI Systems
Andi Peng, Besmira Nushi, Kori Inkpen, Emre Kiciman, Ece Kamar
CHI Workshop on Human-Centered Approaches to Fair and Responsible AI, 2020 (oral)
Paper Slides
The Perils of Objectivity: Towards a Normative Framework for Fair Judicial Decision-Making
Andi Peng, Malina Simard-Halm
AIES 2020 (spotlight)
Paper Slides
Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 (oral, top 3%)
NeurIPS Workshop on Tackling Climate Change with Machine Learning, 2019
ICLR Workshop on Tackling Climate Change with Machine Learning, 2020
Paper Poster Slides Project Site
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
HCOMP 2019
Paper Slides
An Integrated Machine Learning Approach To Studying Terrorism
Andi Peng
Undergraduate Thesis, Yale University
Paper
Conceptual Feasibility Study of the Hyperloop Vehicle for Next-Generation Transport
Kenneth Decker, Jeffrey Chin, Andi Peng, Colin Summers, Golda Nguyen, Andrew Oberlander, Gazi Sakib, Nariman Sharifrazi, Christopher Heath, Justin S. Gray, Robert D. Falck
AIAA SciTech 2017, NASA Technical Report
Paper Slides
Early Detection of Boko Haram Attacks in Nigeria
Andi Peng, Joe English, Megan Wilson, Katherine Kirk, Reem Hussein, Yara Hattab, YuHan Lim, Akshay Bery, Christine Houle, William Casey King
Technical Report, United States Institute of Peace (USIP)
Paper Slides State-Level Maps State-Level Data