Reflections on NeurIPS 2025: Advancing Evaluation and Continual Learning in AI
Published in Labelbox Blog, 2025
Recommended citation: Golchin, S., Modi, S., Tytarenko, S., Abdibayev, A., & Wetter, M. (2025). "Reflections on NeurIPS 2025: Advancing Evaluation and Continual Learning in AI." Labelbox Blog. https://labelbox.com/blog/reflections-on-neurips-2025-advancing-evaluation-and-continual-learning-in-ai/
A Labelbox Research team reflection on NeurIPS 2025, covering two themes shaping AI research: rigorous evaluation and benchmarking of AI capabilities (data contamination and pattern-matching masquerading as genuine generalization) and the rise of agentic continual learning, with reinforcement learning becoming essential infrastructure for building AI systems that adapt through experience. The post closes with predictions for 2026: more realistic benchmarks and more RL-driven agentic systems.
Recommended citation: Golchin, S., Modi, S., Tytarenko, S., Abdibayev, A., & Wetter, M. (2025). “Reflections on NeurIPS 2025: Advancing Evaluation and Continual Learning in AI.” Labelbox Blog.