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09/09/2023
Evaluating Chatbots to Promote Users' Trust – Practices and Open Problems
Chatbots, the common moniker for collaborative assistants, are Artificia...
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07/25/2023
A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency
Ontologies are known for their ability to organize rich metadata, suppor...
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06/24/2023
IERL: Interpretable Ensemble Representation Learning – Combining CrowdSourced Knowledge and Distributed Semantic Representations
Large Language Models (LLMs) encode meanings of words in the form of dis...
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06/23/2023
Knowledge-Infused Self Attention Transformers
Transformer-based language models have achieved impressive success in va...
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06/16/2023
Process Knowledge-infused Learning for Clinician-friendly Explanations
Language models have the potential to assess mental health using social ...
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06/01/2023
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes
As people become more aware of their food choices, food computation mode...
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05/08/2023
Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust
A fundamental question in natural language processing is - what kind of ...
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12/16/2022
On Safe and Usable Chatbots for Promoting Voter Participation
Chatbots, or bots for short, are multi-modal collaborative assistants th...
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10/09/2022
KSAT: Knowledge-infused Self Attention Transformer – Integrating Multiple Domain-Specific Contexts
Domain-specific language understanding requires integrating multiple pie...
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05/27/2022
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts
Conversational Agents (CAs) powered with deep language models (DLMs) hav...
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12/13/2021
Interpretable Design of Reservoir Computing Networks using Realization Theory
The reservoir computing networks (RCNs) have been successfully employed ...
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10/28/2021
Cooperative Deep Q-learning Framework for Environments Providing Image Feedback
In this paper, we address two key challenges in deep reinforcement learn...
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10/28/2021
Learning to Control using Image Feedback
Learning to control complex systems using non-traditional feedback, e.g....
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12/09/2014