Challenges in building intelligent open-domain dialog systems
There is a resurgent interest in develo** intelligent open-domain dialog systems due to
the availability of large amounts of conversational data and the recent progress on neural …
the availability of large amounts of conversational data and the recent progress on neural …
Adversarial example generation with syntactically controlled paraphrase networks
We propose syntactically controlled paraphrase networks (SCPNs) and use them to
generate adversarial examples. Given a sentence and a target syntactic form (eg, a …
generate adversarial examples. Given a sentence and a target syntactic form (eg, a …
What makes a good conversation? how controllable attributes affect human judgments
A good conversation requires balance--between simplicity and detail; staying on topic and
changing it; asking questions and answering them. Although dialogue agents are commonly …
changing it; asking questions and answering them. Although dialogue agents are commonly …
Polite dialogue generation without parallel data
Stylistic dialogue response generation, with valuable applications in personality-based
conversational agents, is a challenging task because the response needs to be fluent …
conversational agents, is a challenging task because the response needs to be fluent …
Towards controllable story generation
We present a general framework of analyzing existing story corpora to generate controllable
and creative new stories. The proposed framework needs little manual annotation to achieve …
and creative new stories. The proposed framework needs little manual annotation to achieve …
I like fish, especially dolphins: Addressing contradictions in dialogue modeling
To quantify how well natural language understanding models can capture consistency in a
general conversation, we introduce the DialoguE COntradiction DEtection task (DECODE) …
general conversation, we introduce the DialoguE COntradiction DEtection task (DECODE) …
Neural syntactic preordering for controlled paraphrase generation
Paraphrasing natural language sentences is a multifaceted process: it might involve
replacing individual words or short phrases, local rearrangement of content, or high-level …
replacing individual words or short phrases, local rearrangement of content, or high-level …
People's Perceptions Toward Bias and Related Concepts in Large Language Models: A Systematic Review
Large language models (LLMs) have brought breakthroughs in tasks including translation,
summarization, information retrieval, and language generation, gaining growing interest in …
summarization, information retrieval, and language generation, gaining growing interest in …
Response generation by context-aware prototype editing
Open domain response generation has achieved remarkable progress in recent years, but
sometimes yields short and uninformative responses. We propose a new paradigm …
sometimes yields short and uninformative responses. We propose a new paradigm …
Generating more interesting responses in neural conversation models with distributional constraints
Neural conversation models tend to generate safe, generic responses for most inputs. This
is due to the limitations of likelihood-based decoding objectives in generation tasks with …
is due to the limitations of likelihood-based decoding objectives in generation tasks with …