Abstract: The Audio-Visual Question Answering (AVQA) task holds significant potential for applications. Compared to traditional unimodal approaches, the multi-modal input of AVQA makes feature ...
UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
OpenAI targets "conversational" coding, not slow batch-style agents. Big latency wins: 80% faster roundtrip, 50% faster time-to-first-token. Runs on Cerebras WSE-3 chips for a latency-first Codex ...
So you want to go to space. How do you get there? Visionaries in early 1900s imagined flying into space before we had a way to get there. We are able to travel to space today thanks to these ...
Abstract: Semantic segmentation of remote sensing images (RSIs) has significant advances with the adoption of deep neural networks, taking the advantages of convolutional neural networks (CNNs) in ...
On Thursday, Anthropic released the latest version of Opus — its most advanced model and a particularly important model for Claude Code. Opus 4.5 was only released last November, and with 4.6, the ...
Anthropic is out with a new model called Claude Opus 4.6, an upgrade to its top-of-the-line Opus 4.5 model that launched in November. The new release could add new capabilities to Anthropic’s Claude ...
We present Open3D-VQA, a novel benchmark for evaluating MLLMs' ability to reason about complex spatial relationships from an aerial perspective.The QAs are automatically generated from spatial ...
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