Search Results for author:
Found 5 papers, 2 papers with code
ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails
Ensuring the safety of large language models (LLMs) is critical as they are deployed in real-world applications.
MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design
The discovery of novel mechanical metamaterials, whose properties are dominated by their engineered structures rather than chemical composition, is a knowledge-intensive and resource-demanding process.
Personalized Topic Selection Model for Topic-Grounded Dialogue
Recently, the topic-grounded dialogue (TGD) system has become increasingly popular as its powerful capability to actively guide users to accomplish specific tasks through topic-guided conversations.
Red Teaming Language Models for Processing Contradictory Dialogues
To mitigate this issue, this study explores a novel contradictory dialogue processing task that aims to detect and modify contradictory statements in a conversation.
Sequential Topic Selection Model with Latent Variable for Topic-Grounded Dialogue
To address the problem, in this paper we propose a novel approach, named Sequential Global Topic Attention (SGTA) to exploit topic transition over all conversations in a subtle way for better modeling post-to-response topic-transition and guiding the response generation to the current conversation.
