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Found 4 papers, 3 papers with code
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models
While Large Language Models (LLMs) can serve as agents to simulate human behaviors (i. e., role-playing agents), we emphasize the importance of point-in-time role-playing.
MPCHAT: Towards Multimodal Persona-Grounded Conversation
In order to build self-consistent personalized dialogue agents, previous research has mostly focused on textual persona that delivers personal facts or personalities.
Who Wrote this Code? Watermarking for Code Generation
Since the remarkable generation performance of large language models raised ethical and legal concerns, approaches to detect machine-generated text by embedding watermarks are being developed.
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Knowledge-grounded dialogue is a task of generating an informative response based on both discourse context and external knowledge.
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