Zobrazeno 1 - 10
of 269
pro vyhledávání: '"SIDDIQUE, A. B."'
Autor:
Mosharrof, Adib, Siddique, A. B.
Task-oriented dialogue (TOD) systems enable users to achieve their goals through natural language interactions. Traditionally, these systems have relied on turn-level manually annotated metadata, such as dialogue states and policy annotations, which
Externí odkaz:
http://arxiv.org/abs/2407.15055
Language Models (LMs) have shown their application for tasks pertinent to code and several code~LMs have been proposed recently. The majority of the studies in this direction only focus on the improvements in performance of the LMs on different bench
Externí odkaz:
http://arxiv.org/abs/2407.04868
Existing recommendation systems have focused on two paradigms: 1- historical user-item interaction-based recommendations and 2- conversational recommendations. Conversational recommendation systems facilitate natural language dialogues between users
Externí odkaz:
http://arxiv.org/abs/2405.17740
Autor:
Fereidouni, Moghis, Siddique, A. B.
Traditional search systems focus on query formulation for effective results but face challenges in scenarios such as product searches where crucial product details (e.g., size, color) remain concealed until users visit specific product pages. This hi
Externí odkaz:
http://arxiv.org/abs/2404.10887
Publikováno v:
The International FLAIRS Conference Proceedings, Vol. 36, 2023
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-oriented dialog systems formulate the problem as a conditional sequence g
Externí odkaz:
http://arxiv.org/abs/2303.16252
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 data for each new domain. Zero-shot learning and weak supervision appr
Externí odkaz:
http://arxiv.org/abs/2303.13801
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, although personalizing dialogues can lead to higher levels of adoption
Externí odkaz:
http://arxiv.org/abs/2303.13797
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 recommendation datasets, such as Amazon Product Reviews and MovieLens,
Externí odkaz:
http://arxiv.org/abs/2303.06588
Attacks on computer networks have increased significantly in recent days, due in part to the availability of sophisticated tools for launching such attacks as well as thriving underground cyber-crime economy to support it. Over the past several years
Externí odkaz:
http://arxiv.org/abs/2204.00144
Autor:
Silva, M., Kumar, S., Kök, A., Cardoso, A., Hummel, M., Sieverts Nielsen, P., Siddique Khan, B., Faria, A.S., Jensterle, M., Marques, C.
Publikováno v:
In Energy Conversion and Management 1 June 2024 309
