5 citations · 5 across the 1 of their papers we have counts for
5 papers
A Survey on Recent Advances in Conversational Data Generation
Heydar Soudani, Roxana Petcu, Evangelos Kanoulas +1
Recent advancements in conversational systems have significantly enhanced human-machine interactions across various domains. However, training these systems is challenging due to t…
Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs
Arian Askari, Roxana Petcu, Chuan Meng +4
Identifying user intents in information-seeking dialogs is crucial for a system to meet user's information needs. Intent prediction (IP) is challenging and demands sufficient dialo…
Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
Jie Zou, Aixin Sun, Cheng Long +1
In conversational recommender systems (CRSs), conversations usually involve a set of items and item-related entities or attributes, e.g., director is a related entity of a movie. T…
Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
Heydar Soudani, Evangelos Kanoulas, Faegheh Hasibi
Language Models (LMs) memorize a vast amount of factual knowledge, exhibiting strong performance across diverse tasks and domains. However, it has been observed that the performanc…
Learning to Ask: Conversational Product Search via Representation Learning
Jie Zou, Jimmy Xiangji Huang, Zhaochun Ren +1
Online shopping platforms, such as Amazon and AliExpress, are increasingly prevalent in society, helping customers purchase products conveniently. With recent progress in natural l…