Agency, the capacity to proactively shape events, is crucial to how huma...
Users interact with text, image, code, or other editors on a daily basis...
Large pre-trained language models have recently enabled open-ended gener...
We introduce GODEL (Grounded Open Dialogue Language Model), a large
pre-...
Auto-regressive neural sequence models have been shown to be effective a...
The advent of large pre-trained language models has made it possible to ...
Recent advances in large-scale pre-training such as GPT-3 allow seemingl...
Large pretrained generative models like GPT-3 often suffer from hallucin...
The design of better automated dialogue evaluation metrics offers the
po...
GPT-3 has attracted lots of attention due to its superior performance
ac...
Motivated by the increasing popularity of intelligent editing assistant,...
A prevailing paradigm in neural text generation is one-shot generation, ...
Existing language models excel at writing from scratch, but many real-wo...
Adversarial examples expose the vulnerabilities of natural language
proc...
Existing open-domain dialog models are generally trained to minimize the...
While recent state-of-the-art results for adversarial imitation-learning...
Many high-level procedural tasks can be decomposed into sequences of
ins...
We present MixingBoard, a platform for quickly building demos with a foc...
Current end-to-end neural conversation models inherently lack the flexib...
Large-scale pre-trained language models, such as BERT and GPT-2, have
ac...
Web search engines today return a ranked list of document links in respo...
We present a large, tunable neural conversational response generation mo...
Generating responses in a targeted style is a useful yet challenging tas...
Text style transfer without parallel data has achieved some practical
su...
Although neural conversation models are effective in learning how to pro...
Generating responses that are consistent with the dialogue context is on...
Although recent neural conversation models have shown great potential, t...
This paper introduces the Seventh Dialog System Technology Challenges (D...
We present Vision-based Navigation with Language-based Assistance (VNLA)...
Responses generated by neural conversational models tend to lack
informa...
Neural conversation models tend to generate safe, generic responses for ...
Building a persona-based conversation agent is challenging owing to the ...
Neural network models are capable of generating extremely natural soundi...
The popularity of image sharing on social media and the engagement it cr...
We present persona-based models for handling the issue of speaker consis...
Sequence-to-sequence neural network models for generation of conversatio...
We introduce Discriminative BLEU (deltaBLEU), a novel metric for intrins...
We present a novel response generation system that can be trained end to...