Science ❯ Cognitive Science ❯ Human-Computer Interaction
Contextual Understanding Model Evaluation Agentic Systems Information Seeking Behavior Task Performance Feedback Mechanisms Task Complexity Question Answering Systems LLM Performance Evaluation Query Interaction Chain-of-Thought Analysis Transparency in AI Predictive Modeling Visual Perception Semantic Refinement Model Fairness Judgment Biases Model Reliability Evaluation Metrics Conversational Interfaces Model Trustworthiness Information Access Information Retrieval Reasoning Models Task Feasibility Review Systems Visual Reasoning Decision Making Driving Behavior Error Diagnosis Context-Aware Systems Document Understanding Video Question Answering Persona Representation Adaptive Systems Instruction Following Explainability in AI Confidence in AI Responses Graph Utility Interactive Interfaces Model Performance Information Retrieval Techniques Model Interpretability Semantic Search Interactive Systems Domain Adaptation
The authors present tools to test and reduce instruction-induced mistakes in image-text models.
