Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Okur, Eda"'
Autor:
Kumar, Shachi H, Sahay, Saurav, Mazumder, Sahisnu, Okur, Eda, Manuvinakurike, Ramesh, Beckage, Nicole, Su, Hsuan, Lee, Hung-yi, Nachman, Lama
Large Language Models (LLMs) have excelled at language understanding and generating human-level text. However, even with supervised training and human alignment, these LLMs are susceptible to adversarial attacks where malicious users can prompt the m
Externí odkaz:
http://arxiv.org/abs/2408.03907
Enriching the quality of early childhood education with interactive math learning at home systems, empowered by recent advances in conversational AI technologies, is slowly becoming a reality. With this motivation, we implement a multimodal dialogue
Externí odkaz:
http://arxiv.org/abs/2306.00482
Autor:
Su, Hsuan, Kumar, Shachi H, Mazumder, Sahisnu, Chen, Wenda, Manuvinakurike, Ramesh, Okur, Eda, Sahay, Saurav, Nachman, Lama, Chen, Shang-Tse, Lee, Hung-yi
With the power of large pretrained language models, various research works have integrated knowledge into dialogue systems. The traditional techniques treat knowledge as part of the input sequence for the dialogue system, prepending a set of knowledg
Externí odkaz:
http://arxiv.org/abs/2302.05888
The advances in language-based Artificial Intelligence (AI) technologies applied to build educational applications can present AI for social-good opportunities with a broader positive impact. Across many disciplines, enhancing the quality of mathemat
Externí odkaz:
http://arxiv.org/abs/2211.03511
Intelligent systems designed for play-based interactions should be contextually aware of the users and their surroundings. Spoken Dialogue Systems (SDS) are critical for these interactive agents to carry out effective goal-oriented communication with
Externí odkaz:
http://arxiv.org/abs/2205.13754
Contextually aware intelligent agents are often required to understand the users and their surroundings in real-time. Our goal is to build Artificial Intelligence (AI) systems that can assist children in their learning process. Within such complex fr
Externí odkaz:
http://arxiv.org/abs/2205.04006
Autor:
Aslan, Sinem, Durham, Lenitra M., Alyuz, Nese, Okur, Eda, Sharma, Sangita, Savur, Celal, Nachman, Lama
Publikováno v:
In Computers and Education: Artificial Intelligence June 2024 6
Building the Natural Language Understanding (NLU) modules of task-oriented Spoken Dialogue Systems (SDS) involves a definition of intents and entities, collection of task-relevant data, annotating the data with intents and entities, and then repeatin
Externí odkaz:
http://arxiv.org/abs/2104.13406
Building multimodal dialogue understanding capabilities situated in the in-cabin context is crucial to enhance passenger comfort in autonomous vehicle (AV) interaction systems. To this end, understanding passenger intents from spoken interactions and
Externí odkaz:
http://arxiv.org/abs/2007.03876
Our senses individually work in a coordinated fashion to express our emotional intentions. In this work, we experiment with modeling modality-specific sensory signals to attend to our latent multimodal emotional intentions and vice versa expressed vi
Externí odkaz:
http://arxiv.org/abs/2007.02038