A review of large language models and autonomous agents in chemistry
Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …
impacting molecule design, property prediction, and synthesis optimization. This review …
From text to insight: large language models for materials science data extraction
The vast majority of materials science knowledge exists in unstructured natural language,
yet structured data is crucial for innovative and systematic materials design. Traditionally, the …
yet structured data is crucial for innovative and systematic materials design. Traditionally, the …
Language agents achieve superhuman synthesis of scientific knowledge
Language models are known to hallucinate incorrect information, and it is unclear if they are
sufficiently accurate and reliable for use in scientific research. We developed a rigorous …
sufficiently accurate and reliable for use in scientific research. We developed a rigorous …
The virtual lab: Ai agents design new sars-cov-2 nanobodies with experimental validation
Science frequently benefits from teams of interdisciplinary researchers. However, most
scientists don't have access to experts from multiple fields. Fortunately, large language …
scientists don't have access to experts from multiple fields. Fortunately, large language …
Probing the limitations of multimodal language models for chemistry and materials research
Recent advancements in artificial intelligence have sparked interest in scientific assistants
that could support researchers across the full spectrum of scientific workflows, from literature …
that could support researchers across the full spectrum of scientific workflows, from literature …
Swiftdossier: Tailored automatic dossier for drug discovery with llms and agents
G Fossi, Y Boulaimen, L Outemzabet, N Jeanray… - arxiv preprint arxiv …, 2024 - arxiv.org
The advancement of artificial intelligence algorithms has expanded their application to
several fields such as the biomedical domain. Artificial intelligence systems, including Large …
several fields such as the biomedical domain. Artificial intelligence systems, including Large …
HELM: Hierarchical Encoding for mRNA Language Modeling
Messenger RNA (mRNA) plays a crucial role in protein synthesis, with its codon structure
directly impacting biological properties. While Language Models (LMs) have shown promise …
directly impacting biological properties. While Language Models (LMs) have shown promise …
Unveiling the power of language models in chemical research question answering
While the abilities of language models are thoroughly evaluated in areas like general
domains and biomedicine, academic chemistry remains less explored. Chemical QA tools …
domains and biomedicine, academic chemistry remains less explored. Chemical QA tools …
Aviary: training language agents on challenging scientific tasks
Solving complex real-world tasks requires cycles of actions and observations. This is
particularly true in science, where tasks require many cycles of analysis, tool use, and …
particularly true in science, where tasks require many cycles of analysis, tool use, and …
BioLP-bench: Measuring understanding of biological lab protocols by large language models
I Ivanov - bioRxiv, 2024 - biorxiv.org
Abstract Language models rapidly become more capable in many domains, including
biology. Both AI developers and policy makers are in need of benchmarks that evaluate their …
biology. Both AI developers and policy makers are in need of benchmarks that evaluate their …