Instructions trigger a production-centered mechanism in language models, with task-specific information stable in input tokens but varying strongly in output tokens and correlating with behavior.
Trust in AI: Progress, Challenges, and Future Directions
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An LLM-assisted workflow scales thematic analysis of millions of online posts and interviews, yielding themes that align and diverge from authoritative policy reports and serving as rough input for policy researchers.
The chapter synthesizes the history of adaptive learning systems and examines how AI can provide instructional intelligence and real-time adaptivity in serious games while highlighting challenges such as explainability and limited long-term outcome data.
citing papers explorer
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Instructions Shape Production of Language, not Processing
Instructions trigger a production-centered mechanism in language models, with task-specific information stable in input tokens but varying strongly in output tokens and correlating with behavior.
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How can LLMs Support Policy Researchers? Evaluating an LLM-Assisted Workflow for Large-Scale Unstructured Data
An LLM-assisted workflow scales thematic analysis of millions of online posts and interviews, yielding themes that align and diverge from authoritative policy reports and serving as rough input for policy researchers.
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AI-Enabled Serious Games: Integrating Intelligence and Adaptivity in Training Systems
The chapter synthesizes the history of adaptive learning systems and examines how AI can provide instructional intelligence and real-time adaptivity in serious games while highlighting challenges such as explainability and limited long-term outcome data.