Entity tracking emerges in sub-billion parameter language models and exceeds human performance in naturalistic narratives
Researchers evaluated how well both humans and large language models can track entities in naturalis...
Researchers evaluated how well both humans and large language models can track entities in naturalis...
Researchers from Hangfeng He and colleagues propose a new framework for theorem proving in real-worl...
Researchers have developed a framework for task-oriented dialogue systems that can adapt to the user...
Researchers have developed a framework called MAVEN to evaluate whether multimedia content aligns wi...
Researchers have created a benchmark for classifying French news articles from d...
Researchers have developed BERTilda, a framework for tracking topic lifecycles i...
Researchers have developed a new method for detecting machine-generated text cal...
Researchers have developed a method to quantify the processing load imposed by n...