Large language models on graphs: A comprehensive survey
Large language models (LLMs), such as GPT4 and LLaMA, are creating significant
advancements in natural language processing, due to their strong text encoding/decoding …
advancements in natural language processing, due to their strong text encoding/decoding …
Scientific large language models: A survey on biological & chemical domains
Large Language Models (LLMs) have emerged as a transformative power in enhancing
natural language comprehension, representing a significant stride toward artificial general …
natural language comprehension, representing a significant stride toward artificial general …
A survey on rag meeting llms: Towards retrieval-augmented large language models
As one of the most advanced techniques in AI, Retrieval-Augmented Generation (RAG) can
offer reliable and up-to-date external knowledge, providing huge convenience for numerous …
offer reliable and up-to-date external knowledge, providing huge convenience for numerous …
Adashield: Safeguarding multimodal large language models from structure-based attack via adaptive shield prompting
Y Wang, X Liu, Y Li, M Chen, C ** the water-harvesting behavior of metal–organic frameworks aided by fine-tuned GPT models
We construct a data set of metal–organic framework (MOF) linkers and employ a fine-tuned
GPT assistant to propose MOF linker designs by mutating and modifying the existing linker …
GPT assistant to propose MOF linker designs by mutating and modifying the existing linker …
[HTML][HTML] Combined scaling for zero-shot transfer learning
Recent developments in multimodal training methodologies, including CLIP and ALIGN,
obviate the necessity for individual data labeling. These approaches utilize pairs of data and …
obviate the necessity for individual data labeling. These approaches utilize pairs of data and …
Enhancing activity prediction models in drug discovery with the ability to understand human language
Activity and property prediction models are the central workhorses in drug discovery and
materials sciences, but currently, they have to be trained or fine-tuned for new tasks. Without …
materials sciences, but currently, they have to be trained or fine-tuned for new tasks. Without …
Artificial intelligence for science in quantum, atomistic, and continuum systems
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
Empowering molecule discovery for molecule-caption translation with large language models: A chatgpt perspective
Molecule discovery plays a crucial role in various scientific fields, advancing the design of
tailored materials and drugs, which contributes to the development of society and human …
tailored materials and drugs, which contributes to the development of society and human …