Tag: prompt engineering
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JTPRO: Optimizing Tool Use in Language Agents
Discover JTPRO, a framework that enhances tool-calling accuracy and efficiency in language agents through joint prompt and schema optimization.
How Enhancing LLM Reasoning Increases Tool Hallucination
Explore how improving reasoning in large language models can amplify tool hallucination and the trade-offs involved in balancing capability and reliability...
Architectural Limits and Design Challenges in Human-LLM Systems
Explore the architectural limits, metacognitive co-option, and design challenges in human-LLM systems to enhance user autonomy and cognitive integrity.
Facial Expression Integration for Empathetic LLM Tutoring
Enhance LLM tutoring with facial-expression-aware prompting to boost empathy and engagement in AI-driven educational tools.
Agent Mentor: Boost AI Agent Accuracy with Semantic Analysis
Enhance AI agent performance by refining natural language prompts using Agent Mentor's semantic trajectory analysis and corrective feedback pipeline.