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Found 3 papers, 1 papers with code
An Improved Traditional Chinese Evaluation Suite for Foundation Model
We included benchmark results in TMMLU+ from closed-source models and 24 open-weight Chinese large language models of parameters ranging from 1. 8B to 72B.
OpenAssistant Conversations -- Democratizing Large Language Model Alignment
In an effort to democratize research on large-scale alignment, we release OpenAssistant Conversations, a human-generated, human-annotated assistant-style conversation corpus consisting of 161, 443 messages in 35 different languages, annotated with 461, 292 quality ratings, resulting in over 10, 000 complete and fully annotated conversation trees.
Gradient Normalization for Generative Adversarial Networks
In this paper, we propose a novel normalization method called gradient normalization (GN) to tackle the training instability of Generative Adversarial Networks (GANs) caused by the sharp gradient space.
