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20182023
most citedAdvances and Challenges in Conversational Recommender Systems: A Survey

343 citations · 1.7k across the 34 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.IR2023

Vague Preference Policy Learning for Conversational Recommendation

Gangyi Zhang, Chongming Gao, Wenqiang Lei +6

Conversational recommendation systems (CRS) commonly assume users have clear preferences, leading to potential over-filtering of relevant alternatives. However, users often exhibit…

cs.CL2023★ 1 cited

Knowing-how & Knowing-that: A New Task for Machine Comprehension of User Manuals

Hongru Liang, Jia Liu, Weihong Du +4

The machine reading comprehension (MRC) of user manuals has huge potential in customer service. However, current methods have trouble answering complex questions. Therefore, we int…

cs.CL2023★ 2 cited

A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects

Yang Deng, Wenqiang Lei, Wai Lam +1

Proactive dialogue systems, related to a wide range of real-world conversational applications, equip the conversational agent with the capability of leading the conversation direct…

cs.CL2023★ 5 cited

Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration

Yang Deng, Lizi Liao, Liang Chen +3

Conversational systems based on Large Language Models (LLMs), such as ChatGPT, show exceptional proficiency in context understanding and response generation. However, despite their…

cs.CL2023★ 1 cited

Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors

Keqin Bao, Yu Wan, Dayiheng Liu +5

Fine-grained information on translation errors is helpful for the translation evaluation community. Existing approaches can not synchronously consider error position and type, fail…

cs.LG2023★ 1 cited

FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion

Wentao Shi, Junkang Wu, Xuezhi Cao +4

Learning hyperbolic embeddings for knowledge graph (KG) has gained increasing attention due to its superiority in capturing hierarchies. However, some important operations in hyper…