Recent advances in deep learning based dialogue systems: A systematic survey

J Ni, T Young, V Pandelea, F Xue… - Artificial intelligence review, 2023 - Springer
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 …

Proactive conversational agents in the post-chatgpt world

L Liao, GH Yang, C Shah - Proceedings of the 46th International ACM …, 2023 - dl.acm.org
ChatGPT and similar large language model (LLM) based conversational agents have
brought shock waves to the research world. Although astonished by their human-like …

Surface form competition: Why the highest probability answer isn't always right

A Holtzman, P West, V Shwartz, Y Choi… - ar** intelligent open-domain dialog systems due to
the availability of large amounts of conversational data and the recent progress on neural …

Towards topic-guided conversational recommender system

K Zhou, Y Zhou, WX Zhao, X Wang, JR Wen - arxiv preprint arxiv …, 2020 - arxiv.org
Conversational recommender systems (CRS) aim to recommend high-quality items to users
through interactive conversations. To develop an effective CRS, the support of high-quality …

Towards human-centered proactive conversational agents

Y Deng, L Liao, Z Zheng, GH Yang… - Proceedings of the 47th …, 2024 - dl.acm.org
Recent research on proactive conversational agents (PCAs) mainly focuses on improving
the system's capabilities in anticipating and planning action sequences to accomplish tasks …

Towards conversational recommendation over multi-type dialogs

Z Liu, H Wang, ZY Niu, H Wu, W Che, T Liu - arxiv preprint arxiv …, 2020 - arxiv.org
We propose a new task of conversational recommendation over multi-type dialogs, where
the bots can proactively and naturally lead a conversation from a non-recommendation …

Ctrlsum: Towards generic controllable text summarization

J He, W Kryściński, B McCann, N Rajani… - arxiv preprint arxiv …, 2020 - arxiv.org
Current summarization systems yield generic summaries that are disconnected from users'
preferences and expectations. To address this limitation, we present CTRLsum, a novel …

CiteME: Can Language Models Accurately Cite Scientific Claims?

O Press, A Hochlehnert, A Prabhu… - Advances in …, 2025 - proceedings.neurips.cc
Thousands of new scientific papers are published each month. Such information overload
complicates researcher efforts to stay current with the state-of-the-art as well as to verify and …