We have 3 of 11 papers
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.
Achieving strong performance with graph neural networks (GNNs) typically requires training and hyperparameter tuning for each dataset, incurring repeated costs and effort. Graph in-context learning (ICL) avoids this by using a single pretrained model to predict unknown node labels directly from labeled context nodes. E...
A computational-theoretical framework is established to provide an account of psychopathology applicable to LLMs and experiments suggest that network-theoretic computations of psychopathology may have emerged in LLMs.
AEROBAT is introduced, the first multi-agent system to automate behavioral scientific research on AI agents and demonstrates that automated behavioral scientific research on AI agents can complement and extend the reach of manual research.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
