Papers by Selene Baez Santamaria
Knowledge-centered conversational agents with a drive to learn (2024.naacl-srw)
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| Challenge: | Unlike traditional task-oriented dialogue agents, knowledgeable agents can autonomously determine what they know and do not know, what is the epistemic status of what they do not understand, and what they need to learn. |
| Approach: | They propose an adaptive conversational agent that assesses the quality of its knowledge and is driven to become more knowledgeable. |
| Outcome: | The proposed agent can learn effective policies to acquire the knowledge needed by assessing the efficiency of these capabilities during interaction. |
Contextualized Graph Representations for Generating Counter-Narratives against Hate Speech (2024.findings-emnlp)
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| Challenge: | Hate speech (HS) is a widespread problem in society with severe repercussions at both personal and societal levels. |
| Approach: | They propose to incorporate conversational history into CNs to confront biases and stereotypes driving hateful narratives. |
| Outcome: | The proposed strategies outperform existing methods on comparing graphical and text representations with varying degrees of context. |