84 citations · 198 across the 28 of their papers we have counts for
42 papers
Neural Machine Translation with Contrastive Translation Memories
Xin Cheng, Shen Gao, Lemao Liu +2
Retrieval-augmented Neural Machine Translation models have been successful in many translation scenarios. Different from previous works that make use of mutually similar but redund…
Do Charge Prediction Models Learn Legal Theory?
Zhenwei An, Quzhe Huang, Cong Jiang +2
The charge prediction task aims to predict the charge for a case given its fact description. Recent models have already achieved impressive accuracy in this task, however, little i…
Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure
Xueliang Zhao, Lemao Liu, Tingchen Fu +3
With the availability of massive general-domain dialogue data, pre-trained dialogue generation appears to be super appealing to transfer knowledge from the general domain to downst…
Collaborative Reasoning on Multi-Modal Semantic Graphs for Video-Grounded Dialogue Generation
Xueliang Zhao, Yuxuan Wang, Chongyang Tao +2
We study video-grounded dialogue generation, where a response is generated based on the dialogue context and the associated video. The primary challenges of this task lie in (1) th…
Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario
Xiao Liu, Yansong Feng, Jizhi Tang +2
People can acquire knowledge in an unsupervised manner by reading, and compose the knowledge to make novel combinations. In this paper, we investigate whether pretrained language m…
Knowledge-enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering
Haowei Du, Quzhe Huang, Chen Zhang +1
Multi-hop Knowledge Base Question Answering(KBQA) aims to find the answer entity in a knowledge base which is several hops from the topic entity mentioned in the question. Existing…