Papers by MengYuan Li

2 papers
Guiding Variational Response Generator to Exploit Persona (2020.acl-main)

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Challenge: Neural Response Generators (NRGs) use persona information of users to perform personalized conversations . current studies focus on incorporating explicit meta-data of user profiles or character descriptions to generate persona-aware responses.
Approach: They propose to use persona information of users in Neural Response Generators to perform personalized conversations.
Outcome: The proposed method improves persona-aware response generation and the metrics are reasonable to evaluate them.
Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation (2020.aacl-main)

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Challenge: Existing methods for transferring knowledge from BERT into a model with large parameters are not efficient due to their large-scale and high computational cost.
Approach: They propose a sentence representation approximating oriented distillation framework that can distill pre-trained BERT into a simple LSTM based model without specifying tasks.
Outcome: The proposed model outperforms other distillation methods and larger models on multiple NLP tasks with efficiency well-improved.

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