As part of its ongoing commitment to AI innovation and academic collaboration, Appier established a dedicated AI research team in February 2024 to further enhance its technical capabilities. By presenting research at globally recognized academic forums, Appier continues to demonstrate its extensive expertise. As one of the few Asia-based companies to have all its submissions selected by NeurIPS and EMNLP this year, Appier’s excellence and leadership in AI and Natural Language Processing (NLP) are earning well-deserved international recognition.
These research findings will be integrated across Appier’s full product suite, including its advertising, personalization, and data cloud SaaS platforms. Examples of applications include creative generation and performance optimization in advertising, knowledge bots, real-time product advisors and e-commerce customer service, hyper-personalized marketing solutions, autonomous report generation for customer data platforms, and industry-specific model optimizations. These innovations align with Appier’s mission to transform AI into a measurable ROI for its clients, driving tangible business growth.
Chih-Han Yu, CEO and co-founder of Appier, said, “AI has always been at the heart of Appier’s DNA, driving us to explore groundbreaking research in AI and LLMs, and their limitless potential in new frontiers. The acceptance of all three of our papers is a tremendous validation of the hard work and talent of our AI research team. With our strong R&D foundation, we are committed to accelerating data utilization and model optimization to unlock new business value and opportunities, bringing AI to the forefront of business success.”
NeurIPS and EMNLP are among the most prestigious academic conferences in the fields of AI and NLP, attracting leading experts and scholars from around the world. NeurIPS, often referred to as the “Olympics of AI,” has been held annually since 1987 and covers a broad range of topics, including neural networks, deep learning, and statistics. In 2024, NeurIPS received 15,600 submissions, with an acceptance rate of around 25.3% for its Datasets and Benchmarks Track. EMNLP, established in 1996, is a key conference in the NLP domain, focusing on technical breakthroughs and empirical research. This year, it received over 6,105 submissions for its Main Track, with an acceptance rate of approximately 20.8%, while the Industry Track had an acceptance rate of 36.53%.
As Appier continues to lead in AI innovation, the company remains deeply invested in pioneering AI technologies and advancing LLM research. With AI constantly evolving, Appier is committed to collaborating with top academic experts and industry leaders to explore transformative technologies, delivering practical, cutting-edge applications that will transform digital advertising and marketing.
Appier is actively recruiting research scientists, engineers, and MarTech professionals to accelerate product innovation and development, addressing the growing business needs of our clients. We warmly invite talented candidates to join us in shaping the future of AI!
