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Found 3 papers, 1 papers with code
Faithful Logical Reasoning via Symbolic Chain-of-Thought
Technically, building upon an LLM, SymbCoT 1) first translates the natural language context into the symbolic format, and then 2) derives a step-by-step plan to solve the problem with symbolic logical rules, 3) followed by a verifier to check the translation and reasoning chain.
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
To bridge this gap between optimization and OOD generalization, we study the effect of sharpness on how a model tolerates data change in domain shift which is usually captured by "robustness" in generalization.
PERSONALIZED LAB TEST RESPONSE PREDICTION WITH KNOWLEDGE AUGMENTATION
Further, we model the drug-lab interactions and diagnosis-lab interactions in the form of graphs and design a knowledge-augmented approach to predict patients’ response to a target lab result.
