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yuqichengzhu.bsky.social
| PhD student @IMPRS-IS & Bosch Center for AI | Knowledge Graph | Large Language Model | Uncertainty | 🌟 https://zhuyuqicheng.github.io/
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🚀 We’re on Bluesky! 🚀 We are the AI Institute at the University of Stuttgart—researching fundamental questions about AI, reflecting its benefits for society, and promoting the transfer of AI applications to business and society. Follow us for insights, updates, and discussions on the future of AI!

submitted 26 days ago • 1 comment

🚨 New Paper Accepted at #NAACL2025 🚨 "Conformalized Answer Set Prediction for Knowledge Graph Embedding" @yuqichengzhu.bsky.social, Nico Potyka, Jiarong Pan, @boxiong.bsky.social, Yunjie He, Evgeny Kharlamov, @ststaab.bsky.social ✨Check out our paper: arxiv.org/pdf/2408.082...

submitted 40 days ago • 1 comment

1/ Okay, one thing that has been revealed to me from the replies to this is that many people don't know (or refuse to recognize) the following fact: The unts in ANN are actually not a terrible approximation of how real neurons work! A tiny 🧵. 🧠📈 #NeuroAI #MLSky

submitted 83 days ago • 21 comments

The slides for my lectures on (Bayesian) Active Learning, Information Theory, and Uncertainty are online now 🥳 They cover quite a bit from basic information theory to some recent papers: blackhc.github.io/balitu/ and I'll try to add proper course notes over time 🤗

submitted 82 days ago • 4 comments

NeurIPS acknowledges that the cultural generalization made by the keynote speaker today reinforces implicit biases by making generalisations about Chinese scholars. This is not what NeurIPS stands for. NeurIPS is dedicated to being a safe space for all of us. 1/3

submitted 86 days ago • 11 comments

The final version of our survey on conformal prediction for NLP has now been published in TACL: direct.mit.edu/tacl/article...

submitted 93 days ago • 1 comment

Excited to present "Self-Calibrating Conformal Prediction" at #NeurIPS2024 this afternoon! Join me at the poster session to learn how combining model calibration with predictive inference gives calibrated point predictions and conditionally valid prediction intervals

submitted 87 days ago • 1 comment

This position of a doctoral researcher in Machine Learning – Runtime Monitoring of Autonomous Driving Functions is open at Mercedes in collaboration with my team, Analytic Computing at @unistuttgart.bsky.social jobs.mercedes-benz.com/en/phd-docto...

submitted 95 days ago • 0 comments

🏆 Best Paper Award & Honorable Mention 🏆 Congratulations to our outstanding authors for their exceptional contributions to LoG 2024! 🎉 📜 Your work inspires the entire graph and geometric ML community!

submitted 100 days ago • 1 comment

Qiang Zhang, me and Zaiqiao Meng will give a 1.5-hour tutorial on Integrating #KnowledgeGraphs and #LLMs for Advancing Scientific Research at @logconference.bsky.social at 2.30pm (UK time / GMT), 26 Nov. #AI4Science. Looking forward to discuss with you.

submitted 104 days ago • 1 comment

Excited to share that our paper "Self-Calibrating Conformal Prediction" with Ahmed Alaa is accepted at #NeurIPS2024! 🚀 We combine model calibration and prediction intervals by integrating Venn-Abers into conformal prediction. #conformal #calibration arxiv.org/pdf/2402.07307

submitted 116 days ago • 1 comment

I made a starter pack with the people doing something related to Neurosymbolic AI that I could find. Let me know if I missed you! go.bsky.app/RMJ8q3i

submitted 118 days ago • 16 comments

I created a starter pack on KGs! I found others useful as newcomer. go.bsky.app/EQRCq9R

submitted 113 days ago • 13 comments

"LLMs can't reason, look at how their accuracy drops if you change the numbers in the problem!!!" The accuracy drop (%):

submitted 113 days ago • 1 comment