#Callforreading Prof. Dapeng Wu et al. from City University of Hong Kong propose powderless multi-center #cornealdisease #diagnosis. Please access the full text via

www.sciltp.com/journals/tai...

#federatedcontinuallearning #energybasedun #certaintyestimation #interpretability #Privacy-Preserving

A new method called CircuitLasso uses sparse linear regression to scale circuit learning for LLM interpretability, matching the accuracy of heavier intervention-based approaches while cutting computational cost.…

#AIResearch #Interpretability #LLM #SparseFeatures
https://arxiv.org/abs/2606.16939

New arXiv work proposes the Superposed Specialisation Hypothesis for Mixture of Experts models, arguing experts specialise in fine-grained features rather than single domains, and introduces RouterInterp for…

#AI #MachineLearning #MixtureOfExperts #Interpretability
https://arxiv.org/abs/2610.11775

New arXiv work uses probability signatures to explain how two-layer networks learn modular addition, linking gradient dynamics to discrete Fourier structure and clarifying early-loss behavior under label noise.

#MachineLearning #DeepLearning #Interpretability #ArXiv
https://arxiv.org/abs/2610.11833

How do large language models “think”? Researchers are trying to uncover the hidden algorithms inside AI.

www.nexthorizon.space/2025/04/how-...

#AI #Science #Technology #Research #LLM #ChatGPT #MachineLearning #NLP #Interpretability #Data #Future #NeuralNets

New arXiv work introduces SafeEvo, a circuit-level interpretability framework tracing how refusal behavior in LLMs emerges and evolves through alignment training. It identifies weak refusal circuits in…

#AIAlignment #LLMSafety #Interpretability #Cybersecurity
https://arxiv.org/abs/2610.09600

Our research group at Apple is recruiting PhD interns working in human-centered AI, including #interpretability, #alignment, and #visualization. 🍎🤖

Please include the phrase “#human-ai-vis” in your resume or cover letter, and apply at: jobs.apple.com/en-us/detail...

Our research group at Apple is recruiting PhD interns working in human-centered AI, including topics such as #interpretability, #alignment, and #visualization. Past interns have published award-winning papers, prototyped new user experiences, and deployed interactive tools that impact billions. 📊

A new arXiv study finds that recognizing context follows a causal pattern across five language models, with a small set of attention heads (1–9 out of 128–1152) supporting a detector reaching 99.5–100% held-out accuracy. Whether that…

#AI #LLMs #Interpretability
https://arxiv.org/abs/2610.08200

Language models can now read neural network weights directly to predict properties and even simulate forward passes of small transformers with 99% holdout accuracy. This shifts interpretability from reactive activation analysis to…

#AI #LLMs #Interpretability
https://arxiv.org/abs/2610.07334

New #TMLR-Paper-with-Video:

Explaining with trees: interpreting CNNs using hierarchies

Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman

https://tmlr.infinite-conf.org/paper_pages/zjyWZh5IiI

#cnns #interpretability #explanations

Routing probes can show fake gains from checkpoint selection, not real info. New audit finds 51% false detections #MachineLearning #AIResearch #Interpretability #VisionTransformers

https://freegardner.com/synapse/routing-probes-can-improve-without-new-information.html

Is an LM that acts Bayesian also Bayesian inside?
☝️ Only as far as its beliefs allow!

Fine-tuned on an optimal Bayesian model, LMs hold and use better beliefs than usual fine-tuning on golden answers.

Details 👇 or bayeslm.github.io

#interpretability #nlproc (1/🧵)

A month left in the AIMO #Interpretability Challenge @neuripsconf.bsky.social 🧠

📊 1k+ submissions predicting whether #LLMs reason robustly on Olympiad-level math problems.
⚠️ Remember: high eval acc ≠ high test score.
⏳ Still time until 1 Nov.

👉 aimo-interp.github.io

New research traces a three-stage symbolic reasoning circuit in LLMs that's detectable well before high accuracy, with per-head causal contributions growing up to 8x from 1- to 10-shot. Function vectors can rescue…

#AI #LLMs #MachineLearning #Interpretability
https://arxiv.org/abs/2609.36265

New #Reproducibility Certification:

A Reproduction Study of Weight-Based Mechanistic Interpretability in Bilinear MLPs

Itay Erlich, May Ben Zion, Jacob Shashoua

https://openreview.net/forum?id=6k7qRdz7rD

#autoencoders #interpretability #interpretable

(How well humans understand the how an AI system make its decisions.). It also talks about AI ethics, governance, and a "Hippocratic Oath" equivalent for Machine Learning developers. Link to paper - www.nature.com/articles/s41...

#machinelearning #ethics #interpretability #transparency

Forgot about "activation patching"? Start with a specific effect you want to eliminate—like a model’sCHUbias—then clamp the activation of the suspected MLP layer to its mean value. If the bias vanishes, you've located the weight circuit. #LLM #Interpretability

A “deception” feature isn’t proof. CHIVE asks: can interpretability predict how a model responds to new prompts?

#AI #Interpretability #MechanisticAI https://spaisee.com/article/chive-s-warning-seeing-inside-a-model-is-not-the-same-as-explaining-it

Quantum transformers can be intrinsically interpretable through mutual information analysis. We prove entanglement drives computation via ablation on real quantum hardware, offering physics-grounded interpretability insights unavailable in classical AI.

#QuantumML #Interpretability #Research