Exa has released Agent Ultra, the highest effort mode of its Exa Agent API. It coordinates subagents across thousands of sources for list building and…
Category: AI
End-to-End Multimodal Data Augmentation and Adversarial Robustness Benchmark with AugLy for Images, Text, Audio, and PyTorch
Discover how to build a comprehensive multimodal augmentation and adversarial robustness workflow using AugLy for images, text, audio, and PyTorch…
At Meta Connect, the company’s smart glasses were everywhere
The company behind Facebook and Instagram wants to keep consumers connected to the digital world via its ever-growing line of smart glasses.
ADATEX4D: adaptive texture capacity allocation for 4D gaussian splatting
arXiv:2609.29963v1 Announce Type: cross Abstract: Textured Gaussians improve local appearance capacity, but assigning the same texture resolution to every…
Beyond Average Safety: Chance-Constrained LLM Fine-tuning
arXiv:2609.29960v1 Announce Type: cross Abstract: Fine-tuning large language models on new objectives can improve helpfulness, instruction following, or…
From Interests to Semantic IDs: Retrieval-Grounded Credit Assignment for Generative Recommendation
arXiv:2609.29983v1 Announce Type: cross Abstract: Semantic IDs (SIDs) encode each catalog item as a short token sequence, enabling generative recommenders…
World Action Agent: Harnessing VLMs for Robot Manipulation via World Action Rehearsal
arXiv:2609.29964v1 Announce Type: cross Abstract: General-purpose vision-language models (VLMs) bring broad knowledge and spatial reasoning to robot…
Learning Better Reasoning for Generative Recommendation with Semantic IDs
arXiv:2609.29973v1 Announce Type: cross Abstract: Generative recommendation reformulates item retrieval as sequence generation, allowing a unified model…
Tracking States or Tracking Cosets? An Algebraic Account of Learned State Tracking
arXiv:2609.29951v1 Announce Type: cross Abstract: State tracking requires composing a sequence of updates, but accuracy alone does not reveal what a model…
Mind What Matters for Reasoning: Aligning Cross-Modal Attention via Selective Probability Mass Concentration
arXiv:2609.29940v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) achieve strong performance on visual reasoning tasks, yet…