thudm/autowebglm

AutoWebGLM is a language-model-driven web-navigation system evaluated through WebArena and MiniWob++. The WebArena workflow runs benchmark tasks, builds an agent prompt from browser state, generates and parses an action, applies it in the browser, and evaluates the resulting trajectory. MiniWob++ has a parallel task loop with HTML simplification and action generation. The README also describes HTML simplification, hybrid human-AI training, reinforcement learning/rejection sampling, and a bilingual benchmark; the supplied tree does not expose training pipelines, so those are not drawn as implemented runtime components. Edges reflect shown imports, calls, or README claims; unsampled environment internals are not inferred.