Language-Augmented Video Action Anticipation: Design Fundamentals, Benchmarks, and Open Challenges

Action anticipation predicts future human actions from partial video under incomplete context and temporal uncertainty. Recent systems introduce large language models (LLMs), vision-language models (VLMs), or language-derived semantics at different stages, but reported gains are difficult to interpr