A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?
As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …
everywhere because of its ability to analyze and create text, images, and beyond. With such …
Recent advances in deep learning based dialogue systems: A systematic survey
Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
Cline: Contrastive learning with semantic negative examples for natural language understanding
Despite pre-trained language models have proven useful for learning high-quality semantic
representations, these models are still vulnerable to simple perturbations. Recent works …
representations, these models are still vulnerable to simple perturbations. Recent works …
Positive, negative and neutral: Modeling implicit feedback in session-based news recommendation
News recommendation for anonymous readers is a useful but challenging task for many
news portals, where interactions between readers and articles are limited within a temporary …
news portals, where interactions between readers and articles are limited within a temporary …
Open-domain dialogue generation: What we can do, cannot do, and should do next
Human–computer conversation has long been an interest of artificial intelligence and
natural language processing research. Recent years have seen a dramatic improvement in …
natural language processing research. Recent years have seen a dramatic improvement in …
Dialogue response selection with hierarchical curriculum learning
We study the learning of a matching model for dialogue response selection. Motivated by the
recent finding that models trained with random negative samples are not ideal in real-world …
recent finding that models trained with random negative samples are not ideal in real-world …
[PDF][PDF] A Survey on Response Selection for Retrieval-based Dialogues.
Building an intelligent dialogue system capable of naturally and coherently conversing with
humans has been a long-standing goal of artificial intelligence. In the past decade, with the …
humans has been a long-standing goal of artificial intelligence. In the past decade, with the …
Synthesizing adversarial negative responses for robust response ranking and evaluation
Open-domain neural dialogue models have achieved high performance in response ranking
and evaluation tasks. These tasks are formulated as a binary classification of responses …
and evaluation tasks. These tasks are formulated as a binary classification of responses …
Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation
Endowing the protagonist with a specific personality is essential for writing an engaging
story. In this paper, we aim to control the protagonist's persona in story generation, ie …
story. In this paper, we aim to control the protagonist's persona in story generation, ie …
Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues
Answer selection in open-domain dialogues aims to select an accurate answer from
candidates. The recent success of answer selection models hinges on training with large …
candidates. The recent success of answer selection models hinges on training with large …