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03/14/2022
CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment
CLIP has shown a remarkable zero-shot capability on a wide range of visi...
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08/26/2021
Understanding Attention in Machine Reading Comprehension
Achieving human-level performance on some of Machine Reading Comprehensi...
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06/11/2021
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data
Maintaining consistent personas is essential for dialogue agents. Althou...
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09/21/2020
Profile Consistency Identification for Open-domain Dialogue Agents
Maintaining a consistent attribute profile is crucial for dialogue agent...
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04/17/2020
A Survey of Document Grounded Dialogue Systems (DGDS)
Dialogue system (DS) attracts great attention from industry and academia...
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04/16/2020
Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation
Maintaining a consistent personality in conversations is quite natural f...
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12/19/2019
Discriminative Sentence Modeling for Story Ending Prediction
Story Ending Prediction is a task that needs to select an appropriate en...
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11/14/2019
Contextual Recurrent Units for Cloze-style Reading Comprehension
Recurrent Neural Networks (RNN) are known as powerful models for handlin...
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11/14/2019
Generating Persona Consistent Dialogues by Exploiting Natural Language Inference
Consistency is one of the major challenges faced by dialogue agents. A h...
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09/24/2019
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots
We consider the importance of different utterances in the context for se...
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05/29/2019
Exploiting Persona Information for Diverse Generation of Conversational Responses
In human conversations, due to their personalities in mind, people can e...
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09/29/2017
The First Evaluation of Chinese Human-Computer Dialogue Technology
In this paper, we introduce the first evaluation of Chinese human-comput...
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05/07/2016
