This work introduces OpenViTac, a visuo-tactile manipulation benchmark for evaluating robot policies across simulation and the real world, and introduces OpenVTLA, a tactile augmentation framework that combines the best-performing representation and integration strategy.
This study implements a hybrid-structure-based deep learning framework to generate monthly 2 m specific humidity, 2 m temperature and surface pressure at 1/30° × 1/30° horizontal resolution during 1901–2023, and reproduces learned terrain-related spatial gradients without explicitly enforcing physical equations or terr...
Zheng Jin, Ze-Zhou Chen, Qinglong You et al.· Earth System Science Data· 0 citations
Open-vocabulary segmentation identifies and segments objects from arbitrary textual descriptions. SAM 3 supports noun-phrase-guided segmentation and achieves competitive open-vocabulary performance through exhaustive vocabulary traversal, yet suffers from prohibitive computational overhead as target categories scale. I...
Hao Peng, Yong-Kang Li, Zhao-Xiang Liu et al.· 0 citations
VITA (Value-Informed Semantic Trust Arbitration), a learned seven-field appraisal interface that conditions modality arbitration on concerns, event relations, and expression conditions while retaining a joint-evidence residual, is introduced.
Jia-Le Dai, Liu-Xian Ma, Xiao-Ke Niu et al.· 0 citations
HiMPO, a Hindsight-Informed Memory Policy Optimization framework for assigning less-entangled credit to memory-writing actions in long-horizon agents, improves over strong memory-based and RL-based baselines while preserving compressed-context efficiency.
Jiang-Ze Yan, Yili Shen, Wen-Jing Zhang et al.· arXiv.org· 1 citation
Hindsight Entropy-Assisted Learning (HEAL), an RL-free framework designed to bridge this reasoning gap, is proposed and extensive experiments demonstrate that HEAL significantly outperforms traditional SFT distillation and other baselines.
A unified taxonomy that isolates drafter-side parallelism from orthogonal design choices such as tree construction and verification strategies is introduced, and a comprehensive empirical comparison of existing methods under varying degrees of parallelism across standardized multimodal benchmarks, including OCR, VQA, v...
Yantao Li, Huanlin Gao, Fang Zhao et al.· 0 citations
Modern text-to-image (T2I) models often have similar total scores but different strengths, making practical selection difficult. Fine-grained benchmarks decompose prompts into questions, yet often return them to prompt scores and fixed categories, weakening attribution and ignoring complexity. Related requirements are...
Shao-An Zhao, Fang Zhao, Xueqiang Guo et al.· 0 citations
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