Action Generation
24 papers with code • 0 benchmarks • 3 datasets
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Most implemented papers
PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
We introduce PokeLLMon, the first LLM-embodied agent that achieves human-parity performance in tactical battle games, as demonstrated in Pokemon battles.
EchoReel: Enhancing Action Generation of Existing Video Diffusion Models
Recent large-scale video datasets have facilitated the generation of diverse open-domain videos of Video Diffusion Models (VDMs).
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation
We propose AutoCrawler, a two-stage framework that leverages the hierarchical structure of HTML for progressive understanding.