8 citations · 9 across the 5 of their papers we have counts for
5 papers
Training Zero-Shot Generalizable End-to-End Task-Oriented Dialog System Without Turn-level Dialog Annotations
Adib Mosharrof, A. B. Siddique
Task-oriented dialogue (TOD) systems enable users to achieve their goals through natural language interactions. Traditionally, these systems have relied on turn-level manually anno…
Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schema
Adib Mosharrof, M. H. Maqbool, A. B. Siddique
Task-oriented dialog systems empower users to accomplish their goals by facilitating intuitive and expressive natural language interactions. State-of-the-art approaches in task-ori…
Toward Open-domain Slot Filling via Self-supervised Co-training
Adib Mosharrof, Moghis Fereidouni, A. B. Siddique
Slot filling is one of the critical tasks in modern conversational systems. The majority of existing literature employs supervised learning methods, which require labeled training…
MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation
M. H. Maqbool, Umar Farooq, Adib Mosharrof +2
Recommender systems have become ubiquitous in our digital lives, from recommending products on e-commerce websites to suggesting movies and music on streaming platforms. Existing r…
Proactive Prioritization of App Issues via Contrastive Learning
Moghis Fereidouni, Adib Mosharrof, Umar Farooq +1
Mobile app stores produce a tremendous amount of data in the form of user reviews, which is a huge source of user requirements and sentiments; such reviews allow app developers to…