The 9th NExT++ workshop was successfully held from May 30th to May 31st, 2024. Bringing together researchers from local and overseas organizations, the event fostered insightful discussions and collaborative exchanges among outstanding researchers in the field.
The two-day workshop was jointly organized by academics from the National University of Singapore and Tsinghua University, with support from Sichuan University. The workshop served as a platform for leading academics and professionals to share insights on the latest advancements in artificial intelligence and machine learning.
After the opening remarks delivered by Prof. Chua Tat-Seng and Prof. Sun Maosong, the workshop commenced with an awards presentation, recognizing outstanding contributions in the field. The NExT Achievements Awards were given to Prof. Tang Jinhui and Prof. Li Juanzi. The NExT Recognition Awards are given to Prof. Zhou Lizhu and Prof. Zhang Bo.
The first session of the day focused on "Large Foundation Models," highlighting the evolution and impact of these models on various domains. Prof. Yan Shuicheng explored the concept of super-agents, delving into their potential to represent the ultimate form of Artificial General Intelligence (AGI).
Prof. Zhu Wenwu discussed the challenges and innovations in developing multimodal foundation models that can adapt to dynamic environments, and Prof. Chua Tat-Seng presented research directions on creating a "Network of Experts," showcasing how collaborative networks can enhance the capabilities of AI models.
Following the insightful presentations, speakers engaged in a lively panel discussion on Large Foundation Models, sharing their perspectives on the future directions.
A poster session was also concluded where researchers from different organizations, such as NUS and THU, presented their latest work. The session fostered vibrant exchanges among scholars, leading to lively discussions.
The afternoon sessions began with a deep dive into the critical topics of "Trust and Security" in AI, where Prof. Huang Minlie, Prof. Ng See-Kiong, and Prof. Feng Fuli shared their recent research on safety and alignment of LLM with human values, security risks associated with LLMs, and leveraging LLMs for proactive recommendation, respectively.
Prof. Huang Minlie gave the insightful talk titled "Safety and Super Alignment of LLMs".
Prof. Ng See-Kiong shared research work on "Safety and Security Concerns of LLMs".
Prof. Feng Fuli gave inspiring talk titled "LLM-based Proactive Recommendation with Commercial and Trustworthy Objectives".
The final session of the day focused on "Knowledge Graphs (KG) and Generative AI," exploring the intersection of structured knowledge and creative AI applications. Prof. Li Juanzi presented research work on the integration of knowledge engineering principles in the era of large language models, emphasizing the need for structured knowledge in AI systems. And Prof. Wang Hongning offered insights into the evolving dynamics between human creativity and generative AI, questioning whether the relationship is symbiotic or competitive.
Prof. Li Juanzi shared her recent studies on knowledge engineering in LLM era.
Prof. Wang Hongning gave talk on generative AI, titled "Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?".
The second day of the 9th NExT++ workshop featured in-depth discussions on the application of AI in finance, legal systems, and multimodal interaction. In the session of “Finance and Legal AI”, Prof. Zheng Huanhuan and Dr. Wang Chao gave talks on AI's applications in finance, emphasizing how AI technologies are revolutionizing financial operations and decision-making.
"Applications of AI in Finance" given by Prof. Zheng Huanhuan.
"LLM Agent for Financial Analysis: Business Solution and Model Architecture" given by Dr. Wang Chao
Then Dr. Luo Cheng shared the innovative use of Legal LLMs in court trials.
In the last session, Prof. Zhang Hanwang and Prof. Liao Lizi shared their recent work on multimodal LLM and conversational recommendation, respectively.
"Visual Token is the Key for MLLM" given by Prof. Zhang Hanwang.
"Conversational Recommendation: from Interactive to Proactive" given by Prof. Liao Lizi.
The workshop was brought to a close with final remarks from Prof. Chua Tat-Seng and Prof. Sun Maosong, reflecting on the workshop’s achievements and the future trajectory of AI research and collaboration.
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