🍎 Updated the Principles repository github.com/coallaoh/Pri... after a long break.

GitHub - coallaoh/Principles

Contribute to coallaoh/Principles development by creating an account on GitHub.

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🫗 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! 1/2

🔎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...

📅 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

ResearchTrend.AI is hiring a data engineer - python, airflow, and postgre talents ate required (+experience with LLMs would be awesome). Please apply to recruit@parameterlab.de or dm me!!!

Parameter Lab@parameterlab.bsky.social · 2y ago

👥 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.

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

Optimal Transport (OT)

Optimal transport is a mathematical theory at the interface between optimization and probability theory. It is a natural tool to study probability distributions in the many situations where they appea...

researchtrend.ai

ResearchTrend.AI Daily@researchtrend.ai · 2y ago

Welcome Optimal Transport community! Latest papers: researchtrend.ai/communities/OT Optimal Transport is gaining traction in optimization, probability, and data science. What are the key challenges ahead? Let us know! 😊 #MachineLearning #Optimization #DataScience #ResearchTrend

Audio LLM community is now available on ResearchTrend.AI! researchtrend.ai/communities/... Check out our cool video :)

ResearchTrend.AI Daily@researchtrend.ai · 2y ago

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! 👇😊

AI in education has gained significant momentum since the beginning of the "LLM era" (2023). Check out the papers at researchtrend.ai/communities/....

AI for Education (AI4Ed)

Leveraging artificial intelligence to enhance educational tools, personalize learning experiences, and improve educational outcomes.

researchtrend.ai

ResearchTrend.AI Daily@researchtrend.ai · 2y ago

Excited to welcome AI4Education to ResearchTrend.AI! Latest papers: researchtrend.ai/communities/... AI for Education uses ML, data analytics, and LLMs for personalized learning. But, how do we balance AI with human teaching? How can we ensure fairness? Thoughts? 👇

🚀 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!

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.

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.

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.

🎉 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

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.

Carlsbergfondet@carlsbergfondet.dk · 2y ago

🎙️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

🚀 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: 🧵

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? 1/8

Flying back to Seoul after an incredible time at NeurIPS in Vancouver! I’ll be in Seoul until 2 January before returning to Germany.

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

Giving a talk tomorrow at #NeurIPS2024 on the exciting topic of explainability!

Andrew Ilyas@aifi.bsky.social · 2y ago

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

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... 1/2

Elisa Nguyen@elinguyen.bsky.social · 2y ago

On my way to Vancouver for @neuripsconf.bsky.social and the ATTRIB workshop on 14th! Feel free to drop by ✨ If you're also interested in data attribution or human-centered XAI, let me know and I'd be happy to meet :)

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 Connect

Social event for ResearchTrend Connect

researchtrend.ai

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 👇

ResearchTrend Connect

Social event for ResearchTrend Connect

researchtrend.ai

Decomposing aleatoric and epistemic uncertainty is harder than you think. Meet us at #NeurIPS2024 for more.

Michael Kirchhof@mkirchhof.bsky.social · 2y ago

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

Anyone coming to #NeurIPS? Let's meet :)

There's an internship opening at @parameterlab.bsky.social : parameterlab.de/careers The research outputs have been quite successful so far: researchtrend.ai/organization...

Careers | Parameter Lab

Join us at Parameter Lab to shape the future of safe AI. In our dynamic and inclusive environment, we focus not only on our mission but also on fostering your personal growth through rewarding work ex...

parameterlab.de

From tomorrow, the Bluesky bot @researchtrend.ai will provide a daily digest of the latest papers in each AI community. More info: researchtrend.ai

NeurIPS Conference is now Live on Bluesky! -NeurIPS2024 Communication Chairs