2021 was a dividing line for major AI conferences. Transformers spread from NLP throughout computer vision and time-series research, self-supervised learning became the most common cross-conference theme, and a diffusion model won an ICLR Outstanding Paper award before anyone realized it would displace GANs. Meanwhile, GNNs and federated learning reached historic peaks in paper volume before beginning to decline.
2022 was a turning point at major AI conferences. Diffusion models moved from emerging to mainstream, with two NeurIPS Outstanding Papers; Chinchilla rewrote scaling laws; Chain-of-Thought showed that large models could reason; and InstructGPT used RLHF to teach language models to follow instructions. When ChatGPT launched at year-end, these academic topics instantly became global news.
2023 was the first year in which LLMs comprehensively rewrote the AI research agenda. DPO received a NeurIPS Outstanding Paper Runner-Up award, ReAct became an ICLR Oral, and hallucination grew from a marginal term into a major track at every conference. Meanwhile, 3D Gaussian Splatting swept through computer vision after its SIGGRAPH debut, Mamba emerged at the end of the year to challenge the Transformer attention monopoly, and publication volume for traditional NLP pipelines began a clear decline.
The defining conference keywords of 2024 were agents, alignment, multimodal LLMs, and inference-time compute. The LLM share at five major conferences doubled again after its sharp 2023 rise; agent-related terms grew 4.3 times; and diffusion models graduated from an emerging topic to a second generative-AI pillar alongside LLMs. Traditional task-oriented NLP continued to contract, while GANs almost disappeared from top venues.
The two strongest signals at AI conferences in 2025 were reasoning papers jumping from 47 to 216, a 4.6-fold rise, and agent-related terms exceeding 150 papers with 4.3–11-fold growth. Diffusion moved from breakout topic to infrastructure; RAG became a mainstream enterprise architecture with unusual coverage across all five conferences; state-space models and world models began tracing the early 2020–2021 path of Vision Transformers. Pure prompt-engineering papers encountered reviewer fatigue.