Prior work has shown that finetuning large language models (LLMs) using
...
Users interact with text, image, code, or other editors on a daily basis...
Large language models (LLMs), such as ChatGPT, are able to generate
huma...
We introduce a new framework, Directional Stimulus Prompting, that uses ...
Dialogue summarization has recently garnered significant attention due t...
Many efforts have been made to construct dialog systems for different ty...
Large pre-trained language models have recently enabled open-ended gener...
We introduce GODEL (Grounded Open Dialogue Language Model), a large
pre-...
Human intelligence has the remarkable ability to adapt to new tasks and
...
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...
The design of better automated dialogue evaluation metrics offers the
po...
The ability to generate clarification questions i.e., questions that ide...
The progress in Query-focused Multi-Document Summarization (QMDS) has be...
A prevailing paradigm in neural text generation is one-shot generation, ...
Existing open-domain dialog models are generally trained to minimize the...
We present MixingBoard, a platform for quickly building demos with a foc...
Current end-to-end neural conversation models inherently lack the flexib...
This paper introduces the Eighth Dialog System Technology Challenge. In ...
We present a large, tunable neural conversational response generation mo...
Generating responses in a targeted style is a useful yet challenging tas...
Although neural conversation models are effective in learning how to pro...
Recent work in neural generation has attracted significant interest in
c...
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...
Generating coherent and cohesive long-form texts is a challenging proble...
The present paper surveys neural approaches to conversational AI that ha...
Responses generated by neural conversational models tend to lack
informa...
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...
Recent neural models of dialogue generation offer great promise for
gene...
We introduce the first dataset for sequential vision-to-language, and ex...
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...
Integrating vision and language has long been a dream in work on artific...
We present a novel response generation system that can be trained end to...