How DeepSeek’s DSpark Makes LLMs 85% Faster Without Retraining

DeepSeek has introduced DSpark, an open-source speculative decoding method that accelerates LLM inference by up to 85% ...
techtimes

NVIDIA’s New LLM Decodes 6x More Tokens Without an Auxiliary Draft Model

Any engineer currently running Eagle3 or a multi-token-prediction setup to speed up their LLM inference now has a compelling reason to look at the alternative NVIDIA's research team published Tuesday.
IEEE

Emotion-Aware LLM Adaptation for Empathetic Dialogue Generation

Abstract: The increasing emphasis on spiritual well-being in contemporary society has fueled a growing demand for empathetic dialogue generation. While large language models (LLMs) have demonstrated ...
IEEE

Spatio-Temporal and Retrieval-Augmented Modeling for Chest X-Ray Report Generation

Abstract: Chest X-ray report generation has attracted increasing research attention. However, most existing methods neglect the temporal information and typically generate reports conditioned on a ...
VentureBeat

Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit

Context windows are becoming a computational bottleneck. The longer an agent runs, the more tokens accumulate from retrieved documents, reasoning traces and conversation history, and the more memory ...