69 citations · 172 across the 9 of their papers we have counts for
9 papers
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation
Haoyu Song, Wei-Nan Zhang, Kaiyan Zhang +1
With the resurgent interest in building open-domain dialogue systems, the dialogue generation task has attracted increasing attention over the past few years. This task is usually…
Language Models are General-Purpose Interfaces
Yaru Hao, Haoyu Song, Li Dong +5
Foundation models have received much attention due to their effectiveness across a broad range of downstream applications. Though there is a big convergence in terms of architectur…
Visually-Augmented Language Modeling
Weizhi Wang, Li Dong, Hao Cheng +5
Human language is grounded on multimodal knowledge including visual knowledge like colors, sizes, and shapes. However, current large-scale pre-trained language models rely on text-…
CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment
Haoyu Song, Li Dong, Wei-Nan Zhang +2
CLIP has shown a remarkable zero-shot capability on a wide range of vision tasks. Previously, CLIP is only regarded as a powerful visual encoder. However, after being pre-trained b…
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data
Haoyu Song, Yan Wang, Kaiyan Zhang +2
Maintaining consistent personas is essential for dialogue agents. Although tremendous advancements have been brought, the limited-scale of annotated persona-dense data are still ba…
Profile Consistency Identification for Open-domain Dialogue Agents
Haoyu Song, Yan Wang, Wei-Nan Zhang +3
Maintaining a consistent attribute profile is crucial for dialogue agents to naturally converse with humans. Existing studies on improving attribute consistency mainly explored how…
Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation
Haoyu Song, Yan Wang, Wei-Nan Zhang +2
Maintaining a consistent personality in conversations is quite natural for human beings, but is still a non-trivial task for machines. The persona-based dialogue generation task is…
Generating Persona Consistent Dialogues by Exploiting Natural Language Inference
Haoyu Song, Wei-Nan Zhang, Jingwen Hu +1
Consistency is one of the major challenges faced by dialogue agents. A human-like dialogue agent should not only respond naturally, but also maintain a consistent persona. In this…
Exploiting Persona Information for Diverse Generation of Conversational Responses
Haoyu Song, Wei-Nan Zhang, Yiming Cui +2
In human conversations, due to their personalities in mind, people can easily carry out and maintain the conversations. Giving conversational context with persona information to a…