2 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
FIRM-WM: State-factorized factual-interventional recurrent modeling for reward-free visual planning
Yilun Wu, Yunjian Zhang, Aobo Li +3
Reward-free latent world models can learn from offline videos and solve new image--goal tasks by optimizing actions through predicted latent futures. This setting places two demand…
HyperWorld: Hypergraph-Structured State Serialization Improves Learned Textual World Models
Yun-Jian Zhang, Chen-Wei Liang, Tian-Yi Zhang +7
World models enable language-model agents to predict environment dynamics and plan before acting. In text environments, the model must learn symbolic action effects from serialized…
HyCE-RAG: Hypergraph Chain-of-Evidence Retrieval-Augmented Generation for Explainable Multi-hop Question Answering
Hong-Yu An, Yun-Jian Zhang, Chen-Wei Liang +7
Multi-hop question answering requires systems to retrieve evidence from multiple documents and connect scattered facts into a coherent reasoning process. Standard retrieval-augment…