World models learn internal representations of environment dynamics to predict future states, enabling agents to optimize action plans without physical interactions. However, developing world models that genuinely internalize underlying causal physical laws to explicitly reason about action preconditions and subsequent...
Jianan Wang, Hao-Quan Zhai, Si-Yang Zhang et al.· 0 citations
GANDR (Grounded ANswer DRafter), a two-agent system in which a Drafter writes an answer in a structured legal-reasoning format and a separate Critic, with the same view as a human verifier, audits each claim against its cited source and emits a per-claim audit trace on every round.
Chen Qian, Yi-Meng Wang, Yu Chen et al.· 0 citations
Large language models answering questions over multi-page documents are expected to cite the supporting pages, yet supplied citations are sometimes inaccurate, and current evaluations score citations at generation time or against text passages: no existing benchmark evaluates whether a system can verify and correct a p...
Chen Qian, Yi-Meng Wang, Yu Chen et al.· 0 citations
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