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07/28/2023
Exploring Format Consistency for Instruction Tuning
Instruction tuning has emerged as a promising approach to enhancing larg...
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06/06/2022
Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation
While large-scale neural language models, such as GPT2 and BART, have ac...
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10/04/2020
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning
Sentence function is an important linguistic feature indicating the comm...
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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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09/19/2020
Enhancing Dialogue Generation via Multi-Level Contrastive Learning
Most of the existing works for dialogue generation are data-driven model...
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08/14/2020
Interpretable Real-Time Win Prediction for Honor of Kings, a Popular Mobile MOBA Esport
With the rapid prevalence and explosive development of MOBA esports (Mul...
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05/13/2020
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
Neural conversation models are known to generate appropriate but non-inf...
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04/27/2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away
Variational Autoencoder (VAE) is widely used as a generative model to ap...
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04/17/2020
Rigid Formats Controlled Text Generation
Neural text generation has made tremendous progress in various tasks. On...
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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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04/06/2020
Grayscale Data Construction and Multi-Level Ranking Objective for Dialogue Response Selection
Response selection plays a vital role in building retrieval-based conver...
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04/05/2020
Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory
The ability of a dialog system to express prespecified language style du...
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04/05/2020
Stylistic Dialogue Generation via Information-Guided Reinforcement Learning Strategy
Stylistic response generation is crucial for building an engaging dialog...
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02/24/2020
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation
In this paper, we focus on a new practical task, document-scale text con...
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12/16/2019
Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering
Neural network models usually suffer from the challenge of incorporating...
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11/26/2019
Relevance-Promoting Language Model for Short-Text Conversation
Despite the effectiveness of sequence-to-sequence framework on the task ...
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11/22/2019
A Discrete CVAE for Response Generation on Short-Text Conversation
Neural conversation models such as encoder-decoder models are easy to ge...
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09/18/2019
Subword ELMo
Embedding from Language Models (ELMo) has shown to be effective for impr...
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07/24/2019
Fine-Grained Sentence Functions for Short-Text Conversation
Sentence function is an important linguistic feature referring to a user...
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11/14/2018
Generating Multiple Diverse Responses for Short-Text Conversation
Neural generative models have become popular and achieved promising perf...
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11/14/2018
Translating a Math Word Problem to an Expression Tree
Sequence-to-sequence (SEQ2SEQ) models have been successfully applied to ...
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09/14/2018
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory
For dialogue response generation, traditional generative models generate...
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08/13/2018
Language Style Transfer from Sentences with Arbitrary Unknown Styles
Language style transfer is the problem of migrating the content of a sou...
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05/09/2018
Automatic Article Commenting: the Task and Dataset
Comments of online articles provide extended views and improve user enga...
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04/21/2018