32 citations · 35 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Training on the Benchmark Is Not All You Need
Shiwen Ni, Xiangtao Kong, Chengming Li +4
The success of Large Language Models (LLMs) relies heavily on the huge amount of pre-training data learned in the pre-training phase. The opacity of the pre-training process and th…
cs.SI2018★ 3 cited
GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding
Wenyu Du, Shuai Yu, Min Yang +2
In this paper, we propose GPSP, a novel Graph Partition and Space Projection based approach, to learn the representation of a heterogeneous network that consists of multiple types…
cs.CL2017★ 32 cited
Generative Adversarial Network for Abstractive Text Summarization
Linqing Liu, Yao Lu, Min Yang +3
In this paper, we propose an adversarial process for abstractive text summarization, in which we simultaneously train a generative model G and a discriminative model D. In particul…