2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Large language model agents have shown promise in bioinformatics, but most existing systems focus primarily on producing final answers, treating planning, tool use, and code execution as transient interactions. This design is poorly suited to long-horizon bioinformatics tasks, where conclusions must remain connected to...
It is argued that a lifelong AI partner for materials science can be designed around persistent memory rather than around a particular agent implementation, and a self-evolving memory framework is introduced that stores scientific experience as inspectable facts and executable skills so that observations, failure bound...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
