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Eating disorders are on the rise. GLP-1s could make things worse.
GLP-1 weight-loss drugs are one of the biggest biotech breakthroughs of the last decade. But...
DySK-Attn: A Framework for Efficient, Real-Time Knowledge Updating in Large Language Models via Dynamic Sparse Knowledge Attention
arXiv:2508.07185v2 Announce Type: replace Abstract: Large Language Models (LLMs) suffer from a critical limitation: their...
Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization
arXiv:2505.24229v1 Announce Type: new Abstract: Inverse Text Normalization (ITN) is crucial for converting spoken Automatic...
Dynamic Acoustic Model Architecture Optimization in Training for ASR
arXiv:2506.13180v2 Announce Type: replace Abstract: Architecture design is inherently complex. Existing approaches rely on either...
DVAGen: Dynamic Vocabulary Augmented Generation
arXiv:2510.17115v1 Announce Type: new Abstract: Language models trained with a fixed vocabulary struggle to generalize...
DualDistill and Agentic-R1: How AI Combines Natural Language and Tool Use for Superior Math Problem Solving
Existing long-CoT reasoning models have achieved state-of-the-art performance in mathematical reasoning by generating reasoning trajectories...
DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation
arXiv:2512.05112v1 Announce Type: cross Abstract: Recent unified multimodal large language models (MLLMs) have shown impressive...
Donated livers can be made biologically younger
Once an organ is removed from a donor’s body, the clock starts ticking. Surgeons usually...
Don’t be fooled—LLMs don’t reason
On an afternoon in Seoul in March 2016, I watched a program I helped build...
Don’t be fooled by this summer of AI hype
It’s been a busy few months for AI hype. At the end of April, Anthropic...
Doing More with Less: Data Augmentation for Sudanese Dialect Automatic Speech Recognition
arXiv:2601.06802v1 Announce Type: new Abstract: Although many Automatic Speech Recognition (ASR) systems have been developed...
Does Understanding Inform Generation in Unified Multimodal Models? From Analysis to Path Forward
arXiv:2511.20561v1 Announce Type: cross Abstract: Recent years have witnessed significant progress in Unified Multimodal Models...
