2 papers
cs.LG2026
Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding
Yingxuan Zhuang, Jingxiao Yang, Miao Pan +7
MLLMs frequently hallucinate objects inconsistent with visual inputs. This issue is typically attributed to the over-reliance on language priors, which can override the visual cont…
quant-ph2025
Choco-Q: Commute Hamiltonian-based QAOA for Constrained Binary Optimization
Debin Xiang, Qifan Jiang, Liqiang Lu +2
Constrained binary optimization aims to find an optimal assignment to minimize or maximize the objective meanwhile satisfying the constraints, which is a representative NP problem…