Visual latent reasoning compresses rendered derivations into compact intermediate states, reducing textual reasoning overhead. Existing approaches differ in how they represent these states: continuous methods avoid vocabulary constraints, whereas discrete methods improve accuracy through quantization into a finite code...
Zhao-Yang Wei, Bo-Wen Jiang, Yan-Chao Hao et al.· 0 citations
Large language models increasingly solve multi-step reasoning tasks, where a single sampled chain of reasoning is frequently unreliable. Reaching a correct answer therefore requires aggregating many sampled reasoning paths into one trustworthy decision. The dominant family, self-consistency and its sampling-and-voting...
Hao Chen, Xinke Jiang, Kai-Qi Huang et al.· Proceedings of the 35th ACM...· 0 citations
Evidence-grounded visual reasoning (EGVOR) is proposed, departing from implicit inference, EGVOR reformulates reasoning as the explicit generation of Evidence Atoms–structured triplets that enforce strict spatial-semantic alignment.
Zhao-Yang Wei, Bo-Wen Jiang, Xumeng Han et al.· International Journal of Com...· 6 citations· ⚡1
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