🔎 AI Interpretability - inarcissuss

Structure-aware acoustic scene classification: a feature decoupling framework using HPSS and asymmetric convolutions

Less-relevant results

🧠LLM Research ai-brief.liziran.com·

8B模型科学推理反超235B

🤖AI fineset.io·

Show HN: Describe a research topic, get a daily-updated ArXiv/S2 dataset

Covered by Hugging Face

Discussed on Hacker News

🤖Agentic Engineering cognition.com·

Multi-Agents: What's Actually Working

Covers 9 stories including karpathy/autoresearch: AI agents running research on single-GPU nanochat training automatically

🗣️Large Language Models arXiv·

Tuning Language Models by Mixture-of-Depths Ensemble

🔐Cybersecurity The Edvocate·

How Google DeepMind's New AI Control Roadmap Aims to Prevent Rogue AI Scenarios

⚡Transformers Hugging Face·

[NEW MODEL] SupraLabs started the Any2Any model family!

Discussed on r/LocalLLaMA

🔬Deep Learning arXiv·

Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges

💬LLM Prompting ByteByteGo Newsletter·

EP219: 12 Open-source LLMs

🎯Alignment Research mklyons.com·

Thinking at the Edge

Discussed on Hacker News

🔍Interpretability arXiv·

Radical AI Interpretability

🔍Interpretability arXiv·

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy

🔍Interpretability arXiv·

Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders

🧠LLM Research arXiv·

Emergent Capabilities Arise Randomly from Learning Sparse Attention Patterns

🔍Interpretability arXiv·

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?

🔍Interpretability arXiv·

Steering Vision-Language Models with Joint Sparse Autoencoders

🔍Interpretability arXiv·

Forecasting With LLMs: Improved Generalization Through Feature Steering

🤖人工智能 arXiv·

Batch-Invariant Spectral Intelligence for Robust and Explainable Insect Authentication

🧠Transformer Architecture arXiv·

Discovering Millions of Interpretable Features with Sparse Autoencoders

Structure-aware acoustic scene classification: a feature decoupling framework using HPSS and asymmetric convolutions

8B模型科学推理反超235B

Show HN: Describe a research topic, get a daily-updated ArXiv/S2 dataset

Multi-Agents: What's Actually Working

Tuning Language Models by Mixture-of-Depths Ensemble

How Google DeepMind's New AI Control Roadmap Aims to Prevent Rogue AI Scenarios

[NEW MODEL] SupraLabs started the Any2Any model family!

Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges

EP219: 12 Open-source LLMs

Thinking at the Edge

Radical AI Interpretability

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy

Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders

Emergent Capabilities Arise Randomly from Learning Sparse Attention Patterns

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?

Steering Vision-Language Models with Joint Sparse Autoencoders

Forecasting With LLMs: Improved Generalization Through Feature Steering

Batch-Invariant Spectral Intelligence for Robust and Explainable Insect Authentication

Cascaded Multi-Granularity Pruning for On-Device LLM Inference in Industrial IoT