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Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding

arXiv:2505.03788v1 Announce Type: new Abstract: We introduce a novel approach for calibrating uncertainty quantification (UQ)...

C-VARC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models

arXiv:2506.01495v5 Announce Type: replace Abstract: Ensuring that Large Language Models (LLMs) align with mainstream human...

ByteDance Researchers Introduce DetailFlow: A 1D Coarse-to-Fine Autoregressive Framework for Faster, Token-Efficient Image Generation

Autoregressive image generation has been shaped by advances in sequential modeling, originally seen in natural...

By putting AI into everything, Google wants to make it invisible 

If you want to know where AI is headed, this year’s Google I/O has you...

Busted by the em dash — AI’s favorite punctuation mark, and how it’s blowing your cover

AI is brilliant at polishing and rephrasing. But like a child with glitter glue, you...

Building voice AI that listens to everyone: Transfer learning and synthetic speech in action

Enterprises adopting voice AI must consider not just usability, but inclusion. Supporting users with disabilities...

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality

arXiv:2508.19689v1 Announce Type: new Abstract: Developing adaptable, extensible, and accurate task bots with minimal or...

Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline Extraction

arXiv:2512.11502v1 Announce Type: new Abstract: We present a new Hebrew medical language model designed to...

Building Domain-Specific Small Language Models via Guided Data Generation

arXiv:2511.21748v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown remarkable success in supporting...

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