Human LLM Interaction

Human-LLM interaction research focuses on improving the effectiveness and usability of large language models (LLMs) in collaborative tasks. Current efforts concentrate on addressing challenges like imprecise user instructions, LLM hallucinations, and the need for more intuitive interfaces, often employing techniques like reinforcement learning and novel evaluation metrics that capture the dynamic, subjective nature of human-AI collaboration. This research is crucial for advancing the responsible and effective deployment of LLMs in diverse applications, from game development and legal consultation to writing assistance and general problem-solving, ultimately shaping the future of human-computer interaction.