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While image generation techniques are now capable of producing high quality images that respect prompts which span multiple sentences, …
Recent progress in building computer-using agents has enabled large language models to navigate browser environments and solve complex …
Aligning visual features with language embeddings is a key challenge in vision-language models (VLMs). The performance of such models …
We introduce multi-token prediction (MTP) variants of
the Apriel model family, designed to generate multiple to-
kens per forward pass. …
Large Language Models achieve their success through transformer architectures with attention mechanisms that compute token …
Prompt injection attacks target a key vulnerability in modern large language models: their inability to reliably distinguish between …
Chart understanding is critical for ServiceNow for data analysis, reason over visualizations, such as interpreting trends, identifying …
Retrieval-augmented generation has proven practical when models require specialized knowledge or access to the latest data. However, …
We introduce DRBench, a benchmark for evaluating AI agents on complex, open-ended enterprise deep research tasks. Unlike existing …
The dynamics of complex systems often depend heavily on external context, and natural language is an intuitive medium for practitioners …