27 citations · 50 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function
A. B. Siddique, M. H. Maqbool, Kshitija Taywade +1
Task-oriented dialog systems enable users to accomplish tasks using natural language. State-of-the-art systems respond to users in the same way regardless of their personalities, a…
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…