Large Language Model
LLM Circuit Analyses Are Consistent Across Training and Scale
Most currently deployed LLMs undergo continuous training or additional finetun-ing. By contrast, most research into LLMs' internal mechanisms focuses on models
The Scandinavian Embedding Benchmarks: Evaluating Multilingual and Monolingual Text Embedding for Scandinavian languages
However, this is not the case for multilingual text embeddings due to a lack of available benchmarks.
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
The rapid development of large language and vision models (LL VMs) has been driven by advances in visual instruction tuning.
GAIA: Rethinking Action Quality Assessment for AI-Generated Videos Zijian Chen 1, Wei Sun
Based on GAIA, we evaluate a suite of popular text-to-video (T2V) models on their ability to generate visually rational actions, revealing their pros and cons on different categories of actions.
