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Found 3 papers, 0 papers with code
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
We find evidence that LLMs, with and without instruction-tuning, exhibit human-like biases in both the text-comprehension and the solution-planning steps of the solving process, but not during the final step which relies on the problem's arithmetic expressions (solution execution).
Drug Re-positioning via Text Augmented Knowledge Graph Embeddings
Drug re-positioning, modeled as a link prediction problem over medical knowledge graphs (KG), has great potential in finding new usage or targets for approved medicine with relatively low cost.
Well-posedness of a system of SDEs driven by jump random measures
We establish well-posedness for a class of systems of SDEs with non-Lipschitz coefficients in the diffusion and jump terms and with two sources of interdependence: a monotone function of all the components in the drift of each SDE and the correlation between the driving Brownian motions and jump random measures.
Probability 60H10, 60G57, 60J76, 34F05
