Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Zakershahrak, Mehrdad"'
The rapid advancement of artificial intelligence systems has brought the challenge of AI alignment to the forefront of research, particularly in complex decision-making and task execution. As these systems surpass human-level performance in sophistic
Externí odkaz:
http://arxiv.org/abs/2409.07335
Existing multi-document summarization approaches produce a uniform summary for all users without considering individuals' interests, which is highly impractical. Making a user-specific summary is a challenging task as it requires: i) acquiring releva
Externí odkaz:
http://arxiv.org/abs/2408.07294
The advent of Large Language Models (LLMs) heralds a pivotal shift in online user interactions with information. Traditional Information Retrieval (IR) systems primarily relied on query-document matching, whereas LLMs excel in comprehending and gener
Externí odkaz:
http://arxiv.org/abs/2311.12287
The exponential growth of textual data has created a crucial need for tools that assist users in extracting meaningful insights. Traditional document summarization approaches often fail to meet individual user requirements and lack structure for effi
Externí odkaz:
http://arxiv.org/abs/2307.05696
Monitoring network traffic data to detect any hidden patterns of anomalies is a challenging and time-consuming task that requires high computing resources. To this end, an appropriate summarization technique is of great importance, where it can be a
Externí odkaz:
http://arxiv.org/abs/2012.15755
Exploring the tremendous amount of data efficiently to make a decision, similar to answering a complicated question, is challenging with many real-world application scenarios. In this context, automatic summarization has substantial importance as it
Externí odkaz:
http://arxiv.org/abs/2012.13387
Providing explanations is considered an imperative ability for an AI agent in a human-robot teaming framework. The right explanation provides the rationale behind an AI agent's decision-making. However, to maintain the human teammate's cognitive dema
Externí odkaz:
http://arxiv.org/abs/2012.11792
Prior work on generating explanations in a planning and decision-making context has focused on providing the rationale behind an AI agent's decision making. While these methods provide the right explanations from the explainer's perspective, they fai
Externí odkaz:
http://arxiv.org/abs/2004.07822
As AI becomes an integral part of our lives, the development of explainable AI, embodied in the decision-making process of an AI or robotic agent, becomes imperative. For a robotic teammate, the ability to generate explanations to justify its behavio
Externí odkaz:
http://arxiv.org/abs/1903.06418
Autor:
Zhang, Yu, Zakershahrak, Mehrdad
Generating explanation to explain its behavior is an essential capability for a robotic teammate. Explanations help human partners better understand the situation and maintain trust of their teammates. Prior work on robot generating explanations focu
Externí odkaz:
http://arxiv.org/abs/1902.00604