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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
Based on \citet{Kirchenbauer2023watermark}, we propose a new watermarking method, Selective WatErmarking via Entropy Thresholding (SWEET), that promotes "green" tokens only at the position with high entropy of the token distribution during generation, thereby preserving the correctness of the generated code.
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.
