In this book, we first continue the discussion from our previous work, focusing on financial argument mining concepts, specifically forward-looking argument mining. We then explore recent trends in agent-based approaches, including single-agent design, multi-agent interactions, and multi-scale model synergy. Several novel application scenarios are examined, such as multiple question generation, LLM agent-based modeling, and opinion ranking. In this final chapter, we revisit the connection between this book and the future directions proposed in 2021, analyzing what has been addressed (explored) and what remains unresolved. We also discuss our investigation into how LLMs influence human (expert) decisions. Several future research directions are proposed in Sect. 7.1, and the book is concluded in Sect. 7.3.