b'Bill Dolan'

research

∙ 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...

0 Ashish Sharma, et al. ∙

research

∙ 03/02/2023

Interactive Text Generation

Users interact with text, image, code, or other editors on a daily basis...

5 Felix Faltings, et al. ∙

research

∙ 12/04/2022

Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation

Large pre-trained language models have recently enabled open-ended gener...

0 Faeze Brahman, et al. ∙

research

∙ 06/22/2022

GODEL: Large-Scale Pre-Training for Goal-Directed Dialog

We introduce GODEL (Grounded Open Dialogue Language Model), a large pre-...

0 Baolin Peng, et al. ∙

research

∙ 12/12/2021

Towards More Efficient Insertion Transformer with Fractional Positional Encoding

Auto-regressive neural sequence models have been shown to be effective a...

0 Zhisong Zhang, et al. ∙

research

∙ 06/14/2021

Automatic Document Sketching: Generating Drafts from Analogous Texts

The advent of large pre-trained language models has made it possible to ...

0 Zeqiu Wu, et al. ∙

research

∙ 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...

2 Yizhe Zhang, et al. ∙

research

∙ 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...

0 Tianyu Liu, et al. ∙

research

∙ 04/16/2021

An Adversarially-Learned Turing Test for Dialog Generation Models

The design of better automated dialogue evaluation metrics offers the po...

11 Xiang Gao, et al. ∙

research

∙ 01/17/2021

What Makes Good In-Context Examples for GPT-3?

GPT-3 has attracted lots of attention due to its superior performance ac...

0 Jiachang Liu, et al. ∙

research

∙ 12/21/2020

Narrative Incoherence Detection

Motivated by the increasing popularity of intelligent editing assistant,...

13 Deng Cai, et al. ∙

research

∙ 10/24/2020

Text Editing by Command

A prevailing paradigm in neural text generation is one-shot generation, ...

0 Felix Faltings, et al. ∙

research

∙ 10/16/2020

Substance over Style: Document-Level Targeted Content Transfer

Existing language models excel at writing from scratch, but many real-wo...

0 Allison Hegel, et al. ∙

research

∙ 09/16/2020

Contextualized Perturbation for Textual Adversarial Attack

Adversarial examples expose the vulnerabilities of natural language proc...

0 Dianqi Li, et al. ∙

research

∙ 09/15/2020

Dialogue Response Ranking Training with Large-Scale Human Feedback Data

Existing open-domain dialog models are generally trained to minimize the...

0 Xiang Gao, et al. ∙

research

∙ 06/18/2020

Reparameterized Variational Divergence Minimization for Stable Imitation

While recent state-of-the-art results for adversarial imitation-learning...

0 Dilip Arumugam, et al. ∙

research

∙ 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...

0 Angela S. Lin, et al. ∙

research

∙ 05/17/2020

MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform

We present MixingBoard, a platform for quickly building demos with a foc...

0 Xiang Gao, et al. ∙

research

∙ 05/01/2020

A Controllable Model of Grounded Response Generation

Current end-to-end neural conversation models inherently lack the flexib...

0 Zeqiu Wu, et al. ∙

research

∙ 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...

5 Yizhe Zhang, et al. ∙

research

∙ 11/08/2019

Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator

Web search engines today return a ranked list of document links in respo...

0 Woon Sang Cho, et al. ∙

research

∙ 11/01/2019

DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

We present a large, tunable neural conversational response generation mo...

0 Yizhe Zhang, et al. ∙

research

∙ 09/03/2019

Structuring Latent Spaces for Stylized Response Generation

Generating responses in a targeted style is a useful yet challenging tas...

0 Xiang Gao, et al. ∙

research

∙ 08/25/2019

Domain Adaptive Text Style Transfer

Text style transfer without parallel data has achieved some practical su...

0 Dianqi Li, et al. ∙

research

∙ 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...

5 Lianhui Qin, et al. ∙

research

∙ 03/13/2019

Consistent Dialogue Generation with Self-supervised Feature Learning

Generating responses that are consistent with the dialogue context is on...

0 Yizhe Zhang, et al. ∙

research

∙ 02/28/2019

Jointly Optimizing Diversity and Relevance in Neural Response Generation

Although recent neural conversation models have shown great potential, t...

0 Xiang Gao, et al. ∙

research

∙ 01/11/2019

Dialog System Technology Challenge 7

This paper introduces the Seventh Dialog System Technology Challenges (D...

0 Koichiro Yoshino, et al. ∙

research

∙ 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)...

8 Khanh Nguyen, et al. ∙

research

∙ 09/16/2018

Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization

Responses generated by neural conversational models tend to lack informa...

0 Yizhe Zhang, et al. ∙

research

∙ 09/04/2018

Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints

Neural conversation models tend to generate safe, generic responses for ...

0 Ashutosh Baheti, et al. ∙

research

∙ 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 ...

0 Yi Luan, et al. ∙

research

∙ 02/07/2017

A Knowledge-Grounded Neural Conversation Model

Neural network models are capable of generating extremely natural soundi...

0 Marjan Ghazvininejad, et al. ∙

research

∙ 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...

0 Nasrin Mostafazadeh, et al. ∙

research

∙ 03/19/2016

A Persona-Based Neural Conversation Model

We present persona-based models for handling the issue of speaker consis...

0 Jiwei Li, et al. ∙

research

∙ 10/11/2015

A Diversity-Promoting Objective Function for Neural Conversation Models

Sequence-to-sequence neural network models for generation of conversatio...

0 Jiwei Li, et al. ∙

research

∙ 06/23/2015

deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets

We introduce Discriminative BLEU (deltaBLEU), a novel metric for intrins...

0 Michel Galley, et al. ∙

research

∙ 06/22/2015

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

We present a novel response generation system that can be trained end to...

0 Alessandro Sordoni, et al. ∙

Bill Dolan

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