Hanjun Dai

A Framework For Differentiable Discovery Of Graph Algorithms

2021

Recently there is a surge of interests in using graph neural networks (GNNs) to learn algorithms. However, these works focus more on imitating existing algorithms, and are limited in two important aspects: the search space …

Better Zero-Shot Reasoning with Self-Adaptive Prompting

2023 · arXiv (Cornell University)

Modern large language models (LLMs) have demonstrated impressive capabilities at sophisticated tasks, often through step-by-step reasoning similar to humans. This is made possible by their strong few and zero-shot abilities -- they can effectively learn …

Variational Reasoning for Question Answering With Knowledge Graph

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Knowledge graph (KG) is known to be helpful for the task of question answering (QA), since it provides well-structured relational information between entities, and allows one to further infer indirect facts. However, it is challenging …

Variational Reasoning for Question Answering with Knowledge Graph

2017 · arXiv (Cornell University)

Knowledge graph (KG) is known to be helpful for the task of question answering (QA), since it provides well-structured relational information between entities, and allows one to further infer indirect facts. However, it is challenging …