Generative agents: Interactive simulacra of human behavior
Believable proxies of human behavior can empower interactive applications ranging from
immersive environments to rehearsal spaces for interpersonal communication to prototy** …
immersive environments to rehearsal spaces for interpersonal communication to prototy** …
Character-llm: A trainable agent for role-playing
Large language models (LLMs) can be used to serve as agents to simulate human
behaviors, given the powerful ability to understand human instructions and provide high …
behaviors, given the powerful ability to understand human instructions and provide high …
Interactive natural language processing
Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …
An appraisal-based chain-of-emotion architecture for affective language model game agents
The development of believable, natural, and interactive digital artificial agents is a field of
growing interest. Theoretical uncertainties and technical barriers present considerable …
growing interest. Theoretical uncertainties and technical barriers present considerable …
CALYPSO: LLMs as Dungeon Master's Assistants
The role of a Dungeon Master, or DM, in the game Dungeons & Dragons is to perform
multiple tasks simultaneously. The DM must digest information about the game setting and …
multiple tasks simultaneously. The DM must digest information about the game setting and …
I cast detect thoughts: Learning to converse and guide with intents and theory-of-mind in dungeons and dragons
We propose a novel task, G4C, to study teacher-student natural language interactions in a
goal-driven and grounded environment. Dungeons and Dragons (D&D), a role-playing …
goal-driven and grounded environment. Dungeons and Dragons (D&D), a role-playing …
Understanding human-AI workflows for generating personas
One barrier to deeper adoption of user-research methods is the amount of labor required to
create high-quality representations of collected data. Trained user researchers need to …
create high-quality representations of collected data. Trained user researchers need to …
Modeling cross-cultural pragmatic inference with codenames duet
Pragmatic reference enables efficient interpersonal communication. Prior work uses simple
reference games to test models of pragmatic reasoning, often with unidentified speakers and …
reference games to test models of pragmatic reasoning, often with unidentified speakers and …
Tachikuma: Understading complex interactions with multi-character and novel objects by large language models
Recent advancements in natural language and Large Language Models (LLMs) have
enabled AI agents to simulate human-like interactions within virtual worlds. However, these …
enabled AI agents to simulate human-like interactions within virtual worlds. However, these …
Fireball: A dataset of dungeons and dragons actual-play with structured game state information
Dungeons & Dragons (D&D) is a tabletop roleplaying game with complex natural language
interactions between players and hidden state information. Recent work has shown that …
interactions between players and hidden state information. Recent work has shown that …