Large Language Model
Chain-of-Thought Reasoning without Prompting
These methods, while effective, often involve manually intensive prompt engineering.
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth Wei Chen
Since the inception of our planet, the meteorological environment, as reflected through spatio-temporal data, has always been a fundamental factor influencing human life, socio-economic progress, and ecological conservation.
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA
Foundation models have made significant strides in understanding the genomic language of DNA sequences. However, previous models typically adopt the tok-enization methods designed for natural language, which are unsuitable for DNA sequences due to their unique characteristics. In addition, the optimal approach to tokenize DNA remains largely under-explored, and may not be intuitively understood by humans even if discovered. To address these challenges, we introduce MxDNA, a novel framework where the model autonomously learns an effective DNA tokenization strategy through gradient decent.
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
To remedy this, most robust fine-tuning methods aim to preserve the pre-trained features.
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
BERT, and GPT models show GRACE's state-of-the-art performance in making
