GPT-2 XL
PulseAugur coverage of GPT-2 XL — every cluster mentioning GPT-2 XL across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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LLMs Show Mixed Human-Like Anaphor Resolution Skills
A new research paper explores how large language models (LLMs) handle anaphor resolution, a linguistic task where a word or phrase refers back to another. The study tested five open-weight LLMs—GPT-2 XL, Llama-3.1:8b, P…
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New tool visualizes hidden LLM biases by aggregating stochastic generations
Researchers have developed TreeTracer, a visual analytics tool designed to uncover hidden biases in Large Language Models (LLMs). Unlike traditional methods that inspect single outputs or use static metrics, TreeTracer …
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New method speeds neural network compression via slice-wise distillation
Researchers have developed a new method for compressing neural networks called slice-wise feature distillation. This technique breaks down large models into smaller, manageable slices for independent tensorization, whic…
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LLM-Brain Alignment Varies by Training Data and Task Specificity
Researchers are exploring how large language models (LLMs) align with human brain activity across different languages and tasks. Studies show that intermediate LLM layers best predict brain responses, and this alignment…