When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and Inference
arxiv.org·22h
🏆LLM Benchmarking
Understanding Transformers Using a Minimal Example
rti.github.io·10h·
Discuss: Hacker News, r/programming
📊Embeddings
Yet Unnoticed in LSTM: Binary Tree Based Input Reordering, Weight Regularization, and Gate Nonlinearization
arxiv.org·22h
📉Embeddings Optimization
Moe Inference Economics from First Principles
tensoreconomics.com·23h·
Discuss: Hacker News
📊Model Serving Economics
Solving Deepfakes with Traces, Frequency, and Attention!
pub.towardsai.net·13h
🔢BitNet
Natural Latents: Latent Variables Stable Across Ontologies
lesswrong.com·1h
🧩Types
SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers
arxiv.org·22h
🗜️Vector Compression
Convolutional Denoising Autoencoders for Diagnostic Images
haydenramm.bearblog.dev·14h
🔢BitNet
Variational Uncertainty Decomposition for In-Context Learning
arxiv.org·22h
🔍Information Retrieval
Brain-wide representations of prior information in mouse decision-making
nature.com·10h
🔍AI Interpretability
Show HN: Higher-order transform streams: 10x faster AI with recursive prompts
timetler.com·10h·
Discuss: Hacker News, r/programming
💾Prompt Caching
LLM Encoder vs. Decoder: Robust Detection of Chinese AI-Generated Text with LoRA
arxiv.org·22h
📝Text Compression
Knowledge-integrated AutoEncoder Model
arxiv.org·22h
📊Embeddings
Multitask Battery Management with Flexible Pretraining
arxiv.org·22h
💾Prompt Caching
Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic
arxiv.org·22h
🧮SMT Solvers
An Efficient GNNs-to-KANs Distillation via Self-Attention Dynamic Sampling with Potential for Consumer Electronics Edge Deployment
arxiv.org·22h
🗜️Zstd
How to Vibe Code Effectively
ibrahimahmed.ca·5h·
Discuss: Hacker News
🪄Prompt Engineering
Fantastic Pretraining Optimizers and Where to Find Them
arxiviq.substack.com·14h·
Discuss: Substack
🏆LLM Benchmarking
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs
arxiv.org·22h
🏆LLM Benchmarking
The Term "Non-Deterministic" and LLMs
vishalbakshi.github.io·1h·
Discuss: Hacker News
🕳LLM Vulnerabilities