Noticias
Universal Adversarial Suffixes Using Calibrated Gumbel-Softmax Relaxation
arXiv:2512.08123v1 Announce Type: new Abstract: Language models (LMs) are often used as zero-shot or few-shot...
Unique Hard Attention: A Tale of Two Sides
arXiv:2503.14615v2 Announce Type: replace-cross Abstract: Understanding the expressive power of transformers has recently attracted attention...
Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization
arXiv:2408.15176v4 Announce Type: replace-cross Abstract: We present a unified framework for automatic multitrack music arrangement...
Uni-MoE-2.0-Omni: An Open Qwen2.5-7B Based Omnimodal MoE for Text, Image, Audio and Video Understanding
How do you build one open model that can reliably understand text, images, audio and...
Understanding the thermal ceiling in portable power
Plug a phone into a modern charger and the first 10 minutes are impressive. The...
Understanding the Role of Latent Space in Machine Learning Models
In this article, you will learn what latent spaces are and how they serve three...
Understanding the Role of Latent Space in Machine Learning Models
In this article, you will learn what latent spaces are and how they serve three...
Understanding the modern cybercrime landscape
Throughout 2025, HPE observed significant changes in how cybercriminals operate. Analyzing real-world threats, our HPE...
Understanding QA generation: Extracting Parametric and Contextual Knowledge with CQA for Low Resource Bangla Language
arXiv:2602.01451v1 Announce Type: new Abstract: Question-Answering (QA) models for low-resource languages like Bangla face challenges...
Understanding OpenAI Codex CLI Commands
We have seen a new era of agentic IDEs like Windsurf and Cursor AI...
Understanding In-context Learning of Addition via Activation Subspaces
arXiv:2505.05145v2 Announce Type: replace-cross Abstract: To perform in-context learning, language models must extract signals from...
Under the Influence: Quantifying Persuasion and Vigilance in Large Language Models
arXiv:2602.21262v2 Announce Type: replace Abstract: With increasing integration of Large Language Models (LLMs) into areas...
