Realistic environment replicas are increasingly valuable for training and evaluating LLM agents, yet the original systems may be inaccessible or impractical to reproduce. We explore agentic language world modeling: rather than rebuilding an executable environment, a world model agent serves as the environment for a tas...
Quan-Yu Long, Xiao Chen, Jian-Da Chen et al.· 0 citations
World Action Models (WAMs) incorporate visual representations from video generation backbones to guide action prediction. Recent efficient WAMs adopt Mixture-of-Transformers (MoT) architectures and compute video representations once for reuse by the action expert. However, intra-expert iteration (\ie, multi-step action...
Cheng-Tao Lv, Jin-Yang Du, Shu-Yi Feng et al.· 0 citations
VT-Contrast supervises selected late-layer last-frame video tokens, where temporal information is expected to be integrated before language generation, and contrasts order-preserving views with same-video reordered counterfactuals graded by Kendall tau distance.
Yu-Meng Shi, Quan-Yu Long, Yin Wu et al.· 0 citations
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