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.
This work calls on specialist developers to provide consistent representation interfaces and, especially, on LLM developers to train models to receive, combine and reason with these inputs, which could expand scientific agents' information while preserving conventional tools'flexibility.
This work finds that cross-domain pretraining improves zero- and few-shot performance on held-out datasets relative to both training from scratch and transferring from domain-specific experts, and finds that simply pooling steady-state datasets is both sufficient and effective.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
