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Found 8 papers, 3 papers with code
Stick to Your Role! Context-dependence and Stability of Personal Value Expression in Large Language Models
We present a case-study on the stability of value expression over different contexts (simulated conversations on different topics) as measured using a standard psychology questionnaire (PVQ) and on behavioral downstream tasks.
The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents
Developmental psychologists have long-established the importance of socio-cognitive abilities in human intelligence.
Large Language Models as Superpositions of Cultural Perspectives
We introduce the concept of perspective controllability, which refers to a model's affordance to adopt various perspectives with differing values and personality traits.
Language-Goal Imagination to Foster Creative Exploration in Deep RL
We introduce the Playground environment and study how this form of goal imagination improves generalization and exploration over agents lacking this capacity.
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
We argue that the ability to imagine out-of-distribution goals is key to enable creative discoveries and open-ended learning.
User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant
To provide such functionalities, NL interpretation in traditional assistants should be improved: (1) The intent identification system should be able to recognize new forms of known intents, and to acquire new intents as they are expressed by the user.
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning
We propose LE2 (Language Enhanced Exploration), a learning algorithm leveraging intrinsic motivations and natural language (NL) interactions with a descriptive social partner (SP).
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative can originate from both the human and the robot.
