Haosen Ge, Ph.D.
@HaosenGe
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Data Scientist @WhartonAIAI | Ph.D. from @Princeton
Joined December 2017
Conformal prediction sets are a useful way to capture uncertainty for LLMs & deep learning models. But they're data-hungry! We propose a semi-bandit algo to learn these sets online. Check out our @icmlconf paper: https://t.co/EQgTl3Xubc Work led by @HaosenGe & with @obastani
arxiv.org
Conformal prediction has emerged as an effective strategy for uncertainty quantification by modifying a model to output sets of labels instead of a single label. These prediction sets come with...
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Our paper is cited in Chapter 7 of the 2025 Economic Report of the President!
Excited to see our paper "Generative AI Can Harm Learning" cited in Ch 7 of the 2025 Economic Report of the President: https://t.co/vZmX4Cy7CD Paper: https://t.co/toKa5BVDLQ, co-authored with @obastani @Alpsungu @HaosenGe Ozge & Rei
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Thrilled to see that our paper made some waves! 🚀
Pardon the brag but SO excited to see our paper at the top of @newsycombinator (for like 15 mins). Usually only 15 people read our papers 😅 @obastani @Alpsungu @HaosenGe Ozge Rei @WhartonAIAI
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Excited to see Philip K.H. Wong Centre @HKUniversity for promoting my working paper! I examined how Open Government Information mobilizes legal resistance in China but suffers a potenial backlash from local governments. Welcome any comments!
Read this article by @Handi_Rita_Li highlighting the mixed effects of open government information in China. Chinese Law Blog: https://t.co/LqKrTQ0sGp Chinese Law eJournal: https://t.co/DBXs2uNizw
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3/ To address this issue, we propose a class of new algorithms: compliance robust algorithms. We demonstrate that it is possible to convert any machine learning model into compliance robust models that guarantee improvement in outcome accuracy and fairness.
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2/In a nutshell, our research highlights a key issue with current AI decision support systems: the potential for AI-assisted humans to perform worse than either AI operating alone or humans without AI. This contradicts the very purpose of integrating AI systems.
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It's fantastic to see the increased interest in our research! I firmly believe it addresses a crucial question that any organization looking to implement AI to support human decision-making should consider.
.@Wharton's@hamsabastani, Haosen Ge from @WhartonAnalytics, & @obastani explore AI-human collaboration challenges in their latest research featured in @Medium's "How to Improve AI Fairness in an Unfair World." Check it out here: https://t.co/21wZSgfU63
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Excited to present my work with @hamsabastani and @obastani at the Simons Institute for the Theory of Computing (@SimonsInstitute) ! We delve into the challenges with algorithmic fairness when dealing with human decision makers who can selectively comply.
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If you play chess, consider signing up for the study 😊🙏
INSEAD (@INSEAD) and Wharton (@Wharton) are conducting a study on AI and algorithmic advice in chess. The study aims to provide insights into how AI and algorithmic advice and their effect on sequential human decision-making. The research, grounded in chess, will offer valuable
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It's been an incredible experience to present in this fantastic event! I've learned a lot from the brilliant work of others!
Here's the full schedule for Friday, looking forward to the event!
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Deadline in 2 days, send us your extended abstracts!!
Submit your work to the Workshop on AI & Analytics for Social Good (due 3/15), to be held @ UMD on 5/5! Learn about privacy, policing, & hiring bias from experts @ssnstudy , @radcummings , Nick Freeman, @dean_c_knox , & Danielle Li! https://t.co/XRpo7TvrrH
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The winning moment ~ #Oliveira wins #IEM Katowice and is your 2023 @StarCraft World Champion! #IEM #ESLProTour
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An extremely fulfilling experience. A huge thanks to mentors @ Princeton Research Computing! https://t.co/1G3rCN7cYK
researchcomputing.princeton.edu
At the fourth annual GPU Hackathon at Princeton held in June, experts from NVIDIA, Princeton, Oak Ridge National Laboratory, Boston College and the Institute of Electrical and Electronics Engineers...
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Nothing to see here. Just an AI system learning to strategically plan world conquest, negotiate with humans in English and then betray them via the game of Diplomacy. https://t.co/zkN1EuJnAe
science.org
Artificial intelligence demonstrates human-level performance in the strategic board game Diplomacy.
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Given a trained #ML model, can we estimate how well it works on new data w/o seeing any labels? Can we still do it even if both covariates and labels shift in data? Our #NeurIPS2022 paper shows how to est model perf on new data in this hard case! https://t.co/VCmlNvWLjc 1/2
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In our new work - Algorithm Distillation - we show that transformers can improve themselves autonomously through trial and error without ever updating their weights. No prompting, no finetuning. A single transformer collects its own data and maximizes rewards on new tasks. 1/N
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.@HaosenGe is a PhD candidate at Princeton University whose research seeks to understand how foreign firms leverage political dynamics in host countries to influence policy outcomes.
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