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05/22/2023
Towards Dialogue Systems with Agency in Human-AI Collaboration Tasks
Agency, the capacity to proactively shape events, is crucial to how huma...
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06/22/2022
GODEL: Large-Scale Pre-Training for Goal-Directed Dialog
We introduce GODEL (Grounded Open Dialogue Language Model), a large pre-...
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06/14/2021
Automatic Document Sketching: Generating Drafts from Analogous Texts
The advent of large pre-trained language models has made it possible to ...
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05/14/2021
Joint Retrieval and Generation Training for Grounded Text Generation
Recent advances in large-scale pre-training such as GPT-3 allow seemingl...
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04/18/2021
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Large pretrained generative models like GPT-3 often suffer from hallucin...
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10/24/2020
Text Editing by Command
A prevailing paradigm in neural text generation is one-shot generation, ...
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09/16/2020
Contextualized Perturbation for Textual Adversarial Attack
Adversarial examples expose the vulnerabilities of natural language proc...
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09/15/2020
Dialogue Response Ranking Training with Large-Scale Human Feedback Data
Existing open-domain dialog models are generally trained to minimize the...
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05/19/2020
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks
Many high-level procedural tasks can be decomposed into sequences of ins...
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05/01/2020
A Controllable Model of Grounded Response Generation
Current end-to-end neural conversation models inherently lack the flexib...
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05/01/2020
POINTER: Constrained Text Generation via Insertion-based Generative Pre-training
Large-scale pre-trained language models, such as BERT and GPT-2, have ac...
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11/01/2019
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
We present a large, tunable neural conversational response generation mo...
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10/25/2019
Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models
Ambiguous user queries in search engines result in the retrieval of docu...
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09/03/2019
Structuring Latent Spaces for Stylized Response Generation
Generating responses in a targeted style is a useful yet challenging tas...
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08/25/2019
Domain Adaptive Text Style Transfer
Text style transfer without parallel data has achieved some practical su...
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06/06/2019
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
Although neural conversation models are effective in learning how to pro...
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03/13/2019
Consistent Dialogue Generation with Self-supervised Feature Learning
Generating responses that are consistent with the dialogue context is on...
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02/28/2019
Jointly Optimizing Diversity and Relevance in Neural Response Generation
Although recent neural conversation models have shown great potential, t...
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01/11/2019
Dialog System Technology Challenge 7
This paper introduces the Seventh Dialog System Technology Challenges (D...
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12/10/2018
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention
We present Vision-based Navigation with Language-based Assistance (VNLA)...
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09/16/2018
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
Responses generated by neural conversational models tend to lack informa...
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10/20/2017
Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models
Building a persona-based conversation agent is challenging owing to the ...
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09/09/2017
Steering Output Style and Topic in Neural Response Generation
We propose simple and flexible training and decoding methods for influen...
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02/07/2017
A Knowledge-Grounded Neural Conversation Model
Neural network models are capable of generating extremely natural soundi...
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01/28/2017
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation
The popularity of image sharing on social media and the engagement it cr...
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06/22/2016
Emulating Human Conversations using Convolutional Neural Network-based IR
Conversational agents ("bots") are beginning to be widely used in conver...
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03/19/2016
A Persona-Based Neural Conversation Model
We present persona-based models for handling the issue of speaker consis...
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10/11/2015
A Diversity-Promoting Objective Function for Neural Conversation Models
Sequence-to-sequence neural network models for generation of conversatio...
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06/23/2015
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets
We introduce Discriminative BLEU (deltaBLEU), a novel metric for intrins...
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06/22/2015