Noticias
Innovating with AI in the special chemicals industry
As companies look to accelerate innovation with artificial intelligence, cloud computing, and advanced modeling, the...
Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models
arXiv:2507.13761v1 Announce Type: new Abstract: Language models are highly sensitive to prompt formulations – small...
InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
arXiv:2509.12765v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) has emerged as a promising approach to...
InfoFlood: Jailbreaking Large Language Models with Information Overload
arXiv:2506.12274v1 Announce Type: cross Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across various...
Inflation Attitudes of Large Language Models
arXiv:2512.14306v1 Announce Type: new Abstract: This paper investigates the ability of Large Language Models (LLMs)...
Inexpensive seafloor-hopping submersibles could stoke deep-sea science—and mining
Smack dab between Australia and South America, the US National Oceanic and Atmospheric Administration (NOAA)...
Industrial Intelligence: The next growth opportunity for manufacturing
Every manufacturer has its own industrial intelligence. Some is documented, and some resides in the...
Induction Labs Photon-1 Simulates Desktops, Plays Checkers, and Models Billiard Physics From One Pretraining Run
Most agents that learn from video need to know what action produced each frame. Induction...
Inducing lexicons of in-group language with socio-temporal context
arXiv:2409.19257v3 Announce Type: replace Abstract: In-group language is an important signifier of group dynamics. This...
In the biotech world, you can’t see everything
Earlier this week, I attended a screening of You Can See Everything, the buzzy new...
Improving Topic Relevance Model by Mix-structured Summarization and LLM-based Data Augmentation
arXiv:2404.02616v2 Announce Type: replace-cross Abstract: Topic relevance between query and document is a very important...
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning
arXiv:2311.08010v3 Announce Type: replace Abstract: Distantly-Supervised Named Entity Recognition (DS-NER) is widely used in real-world...
