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cs.CL2024
Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data
Jiaming Zhou, Abbas Ghaddar, Ge Zhang +7
Despite recent advances in training and prompting strategies for Large Language Models (LLMs), these models continue to face challenges with complex logical reasoning tasks that in…
cs.LG2024
Graph Knowledge Distillation to Mixture of Experts
Pavel Rumiantsev, Mark Coates
In terms of accuracy, Graph Neural Networks (GNNs) are the best architectural choice for the node classification task. Their drawback in real-world deployment is the latency that e…
cs.IR2024
Enhancing CTR Prediction in Recommendation Domain with Search Query Representation
Yuening Wang, Man Chen, Yaochen Hu +5
Many platforms, such as e-commerce websites, offer both search and recommendation services simultaneously to better meet users' diverse needs. Recommendation services suggest items…