Yuqicheng Zhu
@yuqichengzhu.bsky.social
| PhD student @IMPRS-IS & Bosch Center for AI | Knowledge Graph | Large Language Model | Uncertainty |
🌟 https://zhuyuqicheng.github.io/
🌟 https://zhuyuqicheng.github.io/
🌊 Had an amazing time at NeSy 2025 @nesyconf.org in Santa Cruz! Very well-organized conference, great talks, inspiring discussion and of course enjoying the beautiful beach and Bay Area vibes. 🏖️✨
#NeSy2025 #neurosymbolicAI #SantaCruz
#NeSy2025 #neurosymbolicAI #SantaCruz
September 11, 2025 at 7:00 AM
🌊 Had an amazing time at NeSy 2025 @nesyconf.org in Santa Cruz! Very well-organized conference, great talks, inspiring discussion and of course enjoying the beautiful beach and Bay Area vibes. 🏖️✨
#NeSy2025 #neurosymbolicAI #SantaCruz
#NeSy2025 #neurosymbolicAI #SantaCruz
Reposted by Yuqicheng Zhu
Today, @yuqichengzhu.bsky.social opened the oral session with a beautiful talk on a Neurosymbolic extension of Retrieval Augmented Generation (RAG) with an argumentation framework
September 10, 2025 at 6:50 PM
Today, @yuqichengzhu.bsky.social opened the oral session with a beautiful talk on a Neurosymbolic extension of Retrieval Augmented Generation (RAG) with an argumentation framework
Reposted by Yuqicheng Zhu
Yuqicheng Zhu (@yuqichengzhu.bsky.social) presented our paper, Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings, at #acl2025. This paper studies a key question for the reliability of applications using knowledge graph embeddings […]
[Original post on mstdn.degu.cl]
[Original post on mstdn.degu.cl]
August 2, 2025 at 8:00 AM
Yuqicheng Zhu (@yuqichengzhu.bsky.social) presented our paper, Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings, at #acl2025. This paper studies a key question for the reliability of applications using knowledge graph embeddings […]
[Original post on mstdn.degu.cl]
[Original post on mstdn.degu.cl]
Reposted by Yuqicheng Zhu
Institute researchers propose a new query embedding method to extend the expressiveness of existing query embeddings. The paper will be presented at the Web Conference 2025, in Sidney, Australia, from April 28 to May 2.
Query embedding methods are used to predict the answers to queries by […]
Query embedding methods are used to predict the answers to queries by […]
Original post on xn--baw-joa.social
xn--baw-joa.social
January 26, 2025 at 7:20 AM
Institute researchers propose a new query embedding method to extend the expressiveness of existing query embeddings. The paper will be presented at the Web Conference 2025, in Sidney, Australia, from April 28 to May 2.
Query embedding methods are used to predict the answers to queries by […]
Query embedding methods are used to predict the answers to queries by […]
Reposted by Yuqicheng Zhu
🚀 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!
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!
February 11, 2025 at 8:58 AM
🚀 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!
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!
🚨 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...
"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...
January 28, 2025 at 12:21 PM
🚨 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...
"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...
Reposted by Yuqicheng Zhu
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
The unts in ANN are actually not a terrible approximation of how real neurons work!
A tiny 🧵.
🧠📈 #NeuroAI #MLSky
Why does anyone have any issue with this?
I've seen people suggesting it's problematic, that neuroscientists won't like it, and so on.
But, I literally don't see why this is problematic...
I've seen people suggesting it's problematic, that neuroscientists won't like it, and so on.
But, I literally don't see why this is problematic...
This would be funny if it weren't sad...
Coming from the "giants" of AI.
Or maybe this was posted out of context? Please clarify.
I can't process this...
Coming from the "giants" of AI.
Or maybe this was posted out of context? Please clarify.
I can't process this...
December 16, 2024 at 8:03 PM
Reposted by Yuqicheng Zhu
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 🤗
blackhc.github.io/balitu/
and I'll try to add proper course notes over time 🤗
December 17, 2024 at 6:50 AM
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 🤗
blackhc.github.io/balitu/
and I'll try to add proper course notes over time 🤗
Reposted by Yuqicheng Zhu
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
December 14, 2024 at 2:30 AM
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
Reposted by Yuqicheng Zhu
The final version of our survey on conformal prediction for NLP has now been published in TACL: direct.mit.edu/tacl/article...
Conformal Prediction for Natural Language Processing: A Survey
Abstract. The rapid proliferation of large language models and natural language processing (NLP) applications creates a crucial need for uncertainty quantification to mitigate risks such as Hallucinat...
direct.mit.edu
December 6, 2024 at 9:05 PM
The final version of our survey on conformal prediction for NLP has now been published in TACL: direct.mit.edu/tacl/article...
Reposted by Yuqicheng Zhu
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
December 12, 2024 at 4:36 PM
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
Reposted by Yuqicheng Zhu
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...
Ph.D. / Doctorate position in Machine Learning – Runtime Monitoring of Autonomous Driving Functions in cooperation with a university starting March 2025
The Mercedes-Benz Group AG, one of the world's most successful automotive companies, is a leading provider of premium and luxury cars and vans. In Corporate Research & Development (RD), we shape futur...
jobs.mercedes-benz.com
December 4, 2024 at 6:26 AM
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...
Reposted by Yuqicheng Zhu
🏆 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!
Congratulations to our outstanding authors for their exceptional contributions to LoG 2024! 🎉
📜 Your work inspires the entire graph and geometric ML community!
November 29, 2024 at 9:04 PM
🏆 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!
Congratulations to our outstanding authors for their exceptional contributions to LoG 2024! 🎉
📜 Your work inspires the entire graph and geometric ML community!
Reposted by Yuqicheng Zhu
tractability has a precise definition taken from computer science!
So in probabilistic inference, it means solving exactly in polytime a certain query class of interest. In this case compute all possible probabilities for joint assignments.
Shameless plug from a tutorial here 👇👇👇
So in probabilistic inference, it means solving exactly in polytime a certain query class of interest. In this case compute all possible probabilities for joint assignments.
Shameless plug from a tutorial here 👇👇👇
November 29, 2024 at 5:02 PM
tractability has a precise definition taken from computer science!
So in probabilistic inference, it means solving exactly in polytime a certain query class of interest. In this case compute all possible probabilities for joint assignments.
Shameless plug from a tutorial here 👇👇👇
So in probabilistic inference, it means solving exactly in polytime a certain query class of interest. In this case compute all possible probabilities for joint assignments.
Shameless plug from a tutorial here 👇👇👇
Reposted by Yuqicheng Zhu
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.
November 25, 2024 at 5:02 PM
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.
Reposted by Yuqicheng Zhu
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
We combine model calibration and prediction intervals by integrating Venn-Abers into conformal prediction. #conformal #calibration
arxiv.org/pdf/2402.07307
arxiv.org
November 14, 2024 at 2:57 AM
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
We combine model calibration and prediction intervals by integrating Venn-Abers into conformal prediction. #conformal #calibration
arxiv.org/pdf/2402.07307
Reposted by Yuqicheng Zhu
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
Let me know if I missed you!
go.bsky.app/RMJ8q3i
November 11, 2024 at 3:27 PM
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
Let me know if I missed you!
go.bsky.app/RMJ8q3i
Reposted by Yuqicheng Zhu
You can create your own rule-based feed with @skyfeed.app, or run a completely self-hosted feed server if you want to go fully custom.
For instance, @serge.belongie.com and I just set up an ML Internship feed that collects posts by a keywords-regex and hashtag-MLinternship
bsky.app/profile/did:...
For instance, @serge.belongie.com and I just set up an ML Internship feed that collects posts by a keywords-regex and hashtag-MLinternship
bsky.app/profile/did:...
November 24, 2024 at 8:47 AM
You can create your own rule-based feed with @skyfeed.app, or run a completely self-hosted feed server if you want to go fully custom.
For instance, @serge.belongie.com and I just set up an ML Internship feed that collects posts by a keywords-regex and hashtag-MLinternship
bsky.app/profile/did:...
For instance, @serge.belongie.com and I just set up an ML Internship feed that collects posts by a keywords-regex and hashtag-MLinternship
bsky.app/profile/did:...
Reposted by Yuqicheng Zhu
November 17, 2024 at 12:46 AM
Reposted by Yuqicheng Zhu
"LLMs can't reason, look at how their accuracy drops if you change the numbers in the problem!!!"
The accuracy drop (%):
The accuracy drop (%):
November 16, 2024 at 11:06 AM
"LLMs can't reason, look at how their accuracy drops if you change the numbers in the problem!!!"
The accuracy drop (%):
The accuracy drop (%):