Seong Joon Oh
@coallaoh.bsky.social
Professor in Scalable Trustworthy AI @ University of Tübingen | Advisor at Parameter Lab & ResearchTrend.AI
https://seongjoonoh.com | https://scalabletrustworthyai.github.io/ | https://researchtrend.ai/
https://seongjoonoh.com | https://scalabletrustworthyai.github.io/ | https://researchtrend.ai/
Reposted by Seong Joon Oh
🫗 An LLM's "private" reasoning may leak your sensitive data!
🎉 Excited to share our paper "Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers" was accepted at #EMNLP main!
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🎉 Excited to share our paper "Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers" was accepted at #EMNLP main!
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August 21, 2025 at 3:14 PM
🫗 An LLM's "private" reasoning may leak your sensitive data!
🎉 Excited to share our paper "Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers" was accepted at #EMNLP main!
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🎉 Excited to share our paper "Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers" was accepted at #EMNLP main!
1/2
Reposted by Seong Joon Oh
🔎Does Conversational SEO actually work? Our new benchmark has an answer!
Excited to announce our new paper: C-SEO Bench: Does Conversational SEO Work?
🌐 RTAI: researchtrend.ai/papers/2506....
📄 Paper: arxiv.org/abs/2506.11097
💻 Code: github.com/parameterlab...
📊 Data: huggingface.co/datasets/par...
Excited to announce our new paper: C-SEO Bench: Does Conversational SEO Work?
🌐 RTAI: researchtrend.ai/papers/2506....
📄 Paper: arxiv.org/abs/2506.11097
💻 Code: github.com/parameterlab...
📊 Data: huggingface.co/datasets/par...
June 23, 2025 at 4:38 PM
🔎Does Conversational SEO actually work? Our new benchmark has an answer!
Excited to announce our new paper: C-SEO Bench: Does Conversational SEO Work?
🌐 RTAI: researchtrend.ai/papers/2506....
📄 Paper: arxiv.org/abs/2506.11097
💻 Code: github.com/parameterlab...
📊 Data: huggingface.co/datasets/par...
Excited to announce our new paper: C-SEO Bench: Does Conversational SEO Work?
🌐 RTAI: researchtrend.ai/papers/2506....
📄 Paper: arxiv.org/abs/2506.11097
💻 Code: github.com/parameterlab...
📊 Data: huggingface.co/datasets/par...
Reposted by Seong Joon Oh
📅 March 28th is an exciting day for scientific networking! 🚀
Join our Connect sessions on VLM, FedML, and LLMAG—top researchers will present their latest findings!
🔗 Zoom Link: us06web.zoom.us/j/8409727334...
#ResearchTrend #AI #Networking #VLM #FedML #LLMAG
Join our Connect sessions on VLM, FedML, and LLMAG—top researchers will present their latest findings!
🔗 Zoom Link: us06web.zoom.us/j/8409727334...
#ResearchTrend #AI #Networking #VLM #FedML #LLMAG
March 24, 2025 at 11:44 AM
📅 March 28th is an exciting day for scientific networking! 🚀
Join our Connect sessions on VLM, FedML, and LLMAG—top researchers will present their latest findings!
🔗 Zoom Link: us06web.zoom.us/j/8409727334...
#ResearchTrend #AI #Networking #VLM #FedML #LLMAG
Join our Connect sessions on VLM, FedML, and LLMAG—top researchers will present their latest findings!
🔗 Zoom Link: us06web.zoom.us/j/8409727334...
#ResearchTrend #AI #Networking #VLM #FedML #LLMAG
ResearchTrend.AI is hiring a data engineer - python, airflow, and postgre talents ate required (+experience with LLMs would be awesome). Please apply to [email protected] or dm me!!!
👥 We're Hiring: Senior/Junior Data Engineer!
📍 Remote or Local | Full-Time or Part-Time
At ResearchTrend.AI, we’re building a platform that connects researchers and AI engineers worldwide—helping them stay ahead with daily digests, insightful summaries, and interactive events.
📍 Remote or Local | Full-Time or Part-Time
At ResearchTrend.AI, we’re building a platform that connects researchers and AI engineers worldwide—helping them stay ahead with daily digests, insightful summaries, and interactive events.
ResearchTrend.AI
Explore the most trending research topics in AI
ResearchTrend.AI
February 14, 2025 at 6:43 PM
ResearchTrend.AI is hiring a data engineer - python, airflow, and postgre talents ate required (+experience with LLMs would be awesome). Please apply to [email protected] or dm me!!!
Today's featured community is a unique one: Optimal Transport. It sits at the intersection of several machine learning subfields.
Follow the community to receive updates: researchtrend.ai/communities/OT
Follow the community to receive updates: researchtrend.ai/communities/OT
February 13, 2025 at 7:48 PM
Today's featured community is a unique one: Optimal Transport. It sits at the intersection of several machine learning subfields.
Follow the community to receive updates: researchtrend.ai/communities/OT
Follow the community to receive updates: researchtrend.ai/communities/OT
Audio LLM community is now available on ResearchTrend.AI!
researchtrend.ai/communities/...
Check out our cool video :)
researchtrend.ai/communities/...
Check out our cool video :)
Introducing our Audio LLM community!
Latest papers: researchtrend.ai/communities/...
Since 2020, research has surged, proving the field’s rapid growth and potential for groundbreaking applications.
Want more research communities on ResearchTrend.AI? Drop suggestions! 👇😊
Latest papers: researchtrend.ai/communities/...
Since 2020, research has surged, proving the field’s rapid growth and potential for groundbreaking applications.
Want more research communities on ResearchTrend.AI? Drop suggestions! 👇😊
February 11, 2025 at 11:32 PM
Audio LLM community is now available on ResearchTrend.AI!
researchtrend.ai/communities/...
Check out our cool video :)
researchtrend.ai/communities/...
Check out our cool video :)
AI in education has gained significant momentum since the beginning of the "LLM era" (2023).
Check out the papers at researchtrend.ai/communities/....
Check out the papers at researchtrend.ai/communities/....
February 7, 2025 at 4:45 AM
AI in education has gained significant momentum since the beginning of the "LLM era" (2023).
Check out the papers at researchtrend.ai/communities/....
Check out the papers at researchtrend.ai/communities/....
Reposted by Seong Joon Oh
🚀 We launched the Graph Neural Networks (GNN) community on ResearchTrend.AI!
Explore papers: researchtrend.ai/communities/...
GNNs extend neural networks to graph data. The field boomed (2017-2020), plateaued (2020-21), and is now declining.
Is this success, hype, or limits? 🤔 Share your thoughts!
Explore papers: researchtrend.ai/communities/...
GNNs extend neural networks to graph data. The field boomed (2017-2020), plateaued (2020-21), and is now declining.
Is this success, hype, or limits? 🤔 Share your thoughts!
February 3, 2025 at 9:56 AM
🚀 We launched the Graph Neural Networks (GNN) community on ResearchTrend.AI!
Explore papers: researchtrend.ai/communities/...
GNNs extend neural networks to graph data. The field boomed (2017-2020), plateaued (2020-21), and is now declining.
Is this success, hype, or limits? 🤔 Share your thoughts!
Explore papers: researchtrend.ai/communities/...
GNNs extend neural networks to graph data. The field boomed (2017-2020), plateaued (2020-21), and is now declining.
Is this success, hype, or limits? 🤔 Share your thoughts!
Rejected at #ICLR2025:
Scalable Ensemble Diversification for OOD Generalisation and Detection
- Current approach: Ensemble diversification relies on a separate source of OOD samples for training models to diversify outputs.
- Ours: Use samples from the training set itself to diversify ensembles.
Scalable Ensemble Diversification for OOD Generalisation and Detection
- Current approach: Ensemble diversification relies on a separate source of OOD samples for training models to diversify outputs.
- Ours: Use samples from the training set itself to diversify ensembles.
January 23, 2025 at 10:21 PM
Rejected at #ICLR2025:
Scalable Ensemble Diversification for OOD Generalisation and Detection
- Current approach: Ensemble diversification relies on a separate source of OOD samples for training models to diversify outputs.
- Ours: Use samples from the training set itself to diversify ensembles.
Scalable Ensemble Diversification for OOD Generalisation and Detection
- Current approach: Ensemble diversification relies on a separate source of OOD samples for training models to diversify outputs.
- Ours: Use samples from the training set itself to diversify ensembles.
Another #ICLR2025 paper:
Intermediate Layer Classifiers for OOD generalization
- Common approach: Use penultimate-layer features of pre-trained models for downstream tasks.
- Our recommendation: Explore lower-layer features. You'll likely find better layers for OOD generalisation.
Intermediate Layer Classifiers for OOD generalization
- Common approach: Use penultimate-layer features of pre-trained models for downstream tasks.
- Our recommendation: Explore lower-layer features. You'll likely find better layers for OOD generalisation.
January 23, 2025 at 9:58 PM
Another #ICLR2025 paper:
Intermediate Layer Classifiers for OOD generalization
- Common approach: Use penultimate-layer features of pre-trained models for downstream tasks.
- Our recommendation: Explore lower-layer features. You'll likely find better layers for OOD generalisation.
Intermediate Layer Classifiers for OOD generalization
- Common approach: Use penultimate-layer features of pre-trained models for downstream tasks.
- Our recommendation: Explore lower-layer features. You'll likely find better layers for OOD generalisation.
Finally accepted! #ICLR2025
Do Deep Neural Network Solutions Form a Star Domain?
- Known: as DNN width --> infty, solutions become convex modulo permutations of neurons.
- What's new: as DNN width --> infty, solutions **first form a star domain** and then a convex domain modulo permutations.
Do Deep Neural Network Solutions Form a Star Domain?
- Known: as DNN width --> infty, solutions become convex modulo permutations of neurons.
- What's new: as DNN width --> infty, solutions **first form a star domain** and then a convex domain modulo permutations.
January 23, 2025 at 9:44 PM
Finally accepted! #ICLR2025
Do Deep Neural Network Solutions Form a Star Domain?
- Known: as DNN width --> infty, solutions become convex modulo permutations of neurons.
- What's new: as DNN width --> infty, solutions **first form a star domain** and then a convex domain modulo permutations.
Do Deep Neural Network Solutions Form a Star Domain?
- Known: as DNN width --> infty, solutions become convex modulo permutations of neurons.
- What's new: as DNN width --> infty, solutions **first form a star domain** and then a convex domain modulo permutations.
🎉 Happy New Year!
We’re excited to announce the launch of our email digest feature on ResearchTrend.AI! 🚀
You can now receive daily updates from the research communities you follow. Stay informed!
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We’re excited to announce the launch of our email digest feature on ResearchTrend.AI! 🚀
You can now receive daily updates from the research communities you follow. Stay informed!
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December 31, 2024 at 4:53 PM
🎉 Happy New Year!
We’re excited to announce the launch of our email digest feature on ResearchTrend.AI! 🚀
You can now receive daily updates from the research communities you follow. Stay informed!
1/3
We’re excited to announce the launch of our email digest feature on ResearchTrend.AI! 🚀
You can now receive daily updates from the research communities you follow. Stay informed!
1/3
Reposted by Seong Joon Oh
Here’s a podcast I did with Danish journalist Lone Frank during Folkemødet on Bornholm last summer. The opening blurb is in Danish, and the rest is in English. We talk about my move from the US to DK, and the Pioneer Centre for AI’s unique approach to research.
🎙️Hvordan sikrer vi, at AI skaber positive fremskridt til gavn for mennesker og samfund verden over? Hør eller genhør podcast med AI-ekspert @serge.belongie.com & Lone Frank. Liveoptagelse fra årets #fmdk👉 bit.ly/4dXsjZ8 #dkforsk @aicentre.dk
December 29, 2024 at 8:47 AM
Here’s a podcast I did with Danish journalist Lone Frank during Folkemødet on Bornholm last summer. The opening blurb is in Danish, and the rest is in English. We talk about my move from the US to DK, and the Pioneer Centre for AI’s unique approach to research.
🚀 Exciting subdomains of language models with immense potential and growing attention: 1/5
December 29, 2024 at 5:44 AM
🚀 Exciting subdomains of language models with immense potential and growing attention: 1/5
🎄 This holiday season, we have a special present for all AI-yites! 🎄
We’re announcing 11 new research communities at researchtrend.ai (@researchtrend.ai) to help you stay updated.
We group them under 4 larger areas: 🧵
We’re announcing 11 new research communities at researchtrend.ai (@researchtrend.ai) to help you stay updated.
We group them under 4 larger areas: 🧵
December 24, 2024 at 5:02 PM
🎄 This holiday season, we have a special present for all AI-yites! 🎄
We’re announcing 11 new research communities at researchtrend.ai (@researchtrend.ai) to help you stay updated.
We group them under 4 larger areas: 🧵
We’re announcing 11 new research communities at researchtrend.ai (@researchtrend.ai) to help you stay updated.
We group them under 4 larger areas: 🧵
Test results confirm I had influenza B these past few days. It was rough! I suspect NeurIPS was the source. It seems like many fell ill after the event. 😅
December 24, 2024 at 4:31 PM
Test results confirm I had influenza B these past few days. It was rough! I suspect NeurIPS was the source. It seems like many fell ill after the event. 😅
What if we viewed ML generalisation not just as a machine's ability to perform well on unseen data, but as a form of human-to-ML communication?
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December 18, 2024 at 2:46 PM
What if we viewed ML generalisation not just as a machine's ability to perform well on unseen data, but as a form of human-to-ML communication?
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Flying back to Seoul after an incredible time at NeurIPS in Vancouver! I’ll be in Seoul until 2 January before returning to Germany.
December 16, 2024 at 5:10 PM
Flying back to Seoul after an incredible time at NeurIPS in Vancouver! I’ll be in Seoul until 2 January before returning to Germany.
Reposted by Seong Joon Oh
Curious about why embedding-space ensembles are a compelling alternative and how to make them work? 🤔
Check out our work on Sat. Dec 14 @neuripsconf.bsky.social Workshops!
SSL:
* 12:30 pm - 1:50 pm
* West Meeting Room 202-204
@unireps.bsky.social:
* 3:45 pm - 5:00 pm
* West Exhibition Hall C, B3
Check out our work on Sat. Dec 14 @neuripsconf.bsky.social Workshops!
SSL:
* 12:30 pm - 1:50 pm
* West Meeting Room 202-204
@unireps.bsky.social:
* 3:45 pm - 5:00 pm
* West Exhibition Hall C, B3
December 14, 2024 at 6:37 AM
Curious about why embedding-space ensembles are a compelling alternative and how to make them work? 🤔
Check out our work on Sat. Dec 14 @neuripsconf.bsky.social Workshops!
SSL:
* 12:30 pm - 1:50 pm
* West Meeting Room 202-204
@unireps.bsky.social:
* 3:45 pm - 5:00 pm
* West Exhibition Hall C, B3
Check out our work on Sat. Dec 14 @neuripsconf.bsky.social Workshops!
SSL:
* 12:30 pm - 1:50 pm
* West Meeting Room 202-204
@unireps.bsky.social:
* 3:45 pm - 5:00 pm
* West Exhibition Hall C, B3
Giving a talk tomorrow at #NeurIPS2024 on the exciting topic of explainability!
At NeurIPS? Come by the 2nd workshop on Attributing Model Behavior at Scale (ATTRIB)!
Meeting Rm 205-207 @ 9am - amazing talks by @surbhigoel.bsky.social @sanmikoyejo.bsky.social Baharan Mirzasoleiman, Robert Geirhos, @coallaoh.bsky.social + exciting contributed talks!
Details: attrib-workshop.cc
Meeting Rm 205-207 @ 9am - amazing talks by @surbhigoel.bsky.social @sanmikoyejo.bsky.social Baharan Mirzasoleiman, Robert Geirhos, @coallaoh.bsky.social + exciting contributed talks!
Details: attrib-workshop.cc
ATTRIB 2024 WorkshopConference Schedule
attrib-workshop.cc
December 14, 2024 at 1:56 AM
Giving a talk tomorrow at #NeurIPS2024 on the exciting topic of explainability!
Excited for #NeurIPS2024!
Here are some highlights.
- Spotlight paper by @bmucsanyi.bsky.social on uncertainty disentanglement (epistemic vs aleatoric): bsky.app/profile/bmuc...
- ATTRIB workshop by @elinguyen.bsky.social: bsky.app/profile/elin...
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Here are some highlights.
- Spotlight paper by @bmucsanyi.bsky.social on uncertainty disentanglement (epistemic vs aleatoric): bsky.app/profile/bmuc...
- ATTRIB workshop by @elinguyen.bsky.social: bsky.app/profile/elin...
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December 10, 2024 at 12:28 PM
Excited for #NeurIPS2024!
Here are some highlights.
- Spotlight paper by @bmucsanyi.bsky.social on uncertainty disentanglement (epistemic vs aleatoric): bsky.app/profile/bmuc...
- ATTRIB workshop by @elinguyen.bsky.social: bsky.app/profile/elin...
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Here are some highlights.
- Spotlight paper by @bmucsanyi.bsky.social on uncertainty disentanglement (epistemic vs aleatoric): bsky.app/profile/bmuc...
- ATTRIB workshop by @elinguyen.bsky.social: bsky.app/profile/elin...
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Last Friday, we hosted the first ResearchTrend Connect session! It was reminiscent of the nice discussions from the 2010s that brought together experts in the same domain (which we largely miss now).
December 9, 2024 at 6:51 AM
Last Friday, we hosted the first ResearchTrend Connect session! It was reminiscent of the nice discussions from the 2010s that brought together experts in the same domain (which we largely miss now).
This is happening now!
researchtrend.ai/social-event...
researchtrend.ai/social-event...
ResearchTrend Connect
Social event for ResearchTrend Connect
researchtrend.ai
December 6, 2024 at 9:00 AM
This is happening now!
researchtrend.ai/social-event...
researchtrend.ai/social-event...
Excited to host the first ResearchTrend.AI Connect sessions this Friday! 🎉
🎙️ Topics
- Membership Inference Attack on Language Models: researchtrend.ai/social-event...
- Privacy Issues in Language Models: researchtrend.ai/social-event...
More info below 👇
🎙️ Topics
- Membership Inference Attack on Language Models: researchtrend.ai/social-event...
- Privacy Issues in Language Models: researchtrend.ai/social-event...
More info below 👇
ResearchTrend Connect
Social event for ResearchTrend Connect
researchtrend.ai
December 4, 2024 at 12:39 PM
Excited to host the first ResearchTrend.AI Connect sessions this Friday! 🎉
🎙️ Topics
- Membership Inference Attack on Language Models: researchtrend.ai/social-event...
- Privacy Issues in Language Models: researchtrend.ai/social-event...
More info below 👇
🎙️ Topics
- Membership Inference Attack on Language Models: researchtrend.ai/social-event...
- Privacy Issues in Language Models: researchtrend.ai/social-event...
More info below 👇
Decomposing aleatoric and epistemic uncertainty is harder than you think. Meet us at #NeurIPS2024 for more.
Proud to announce our NeurIPS spotlight, which was in the works for over a year now :) We dig into why decomposing aleatoric and epistemic uncertainty is hard, and what this means for the future of uncertainty quantification.
📖 arxiv.org/abs/2402.19460 🧵1/10
📖 arxiv.org/abs/2402.19460 🧵1/10
December 3, 2024 at 11:54 AM
Decomposing aleatoric and epistemic uncertainty is harder than you think. Meet us at #NeurIPS2024 for more.