Autoregressive LLMs
PulseAugur coverage of Autoregressive LLMs — every cluster mentioning Autoregressive LLMs across labs, papers, and developer communities, ranked by signal.
-
New LS-AR Architecture Enhances Autoregressive LLMs with Dual-Channel Design
Researchers have developed a new dual-channel architecture called Latent-Steered Autoregressive (LS-AR) to improve the performance of autoregressive large language models. This architecture decouples continuous goal ste…
-
Diffusion models for graph-to-text generation prioritize entities
Researchers have analyzed the generation process of masked diffusion language models (MDLMs) for graph-to-text generation, finding they prioritize entities before relational words and structural tokens. A new method, la…
-
New fine-tuning method boosts LLM knowledge injection without paraphrasing
Researchers have developed a new fine-tuning method called Diffusion-Inspired Masked Fine-Tuning (DMT) for autoregressive large language models (LLMs). This technique aims to improve the injection of factual knowledge i…