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cs.CV2026
MiniWorld: Democratizing the Training of Video World Models from Scratch
Yian Zhao, Ruochong Zheng, Hongcan Guo +3
Video world models predict future observations conditioned on historical observations and control signals, enabling long-horizon generation through autoregressive state transitions…
cs.CV2026
OneVision-Encoder: Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence
Feilong Tang, Xiang An, Yunyao Yan +16
Hypothesis. Artificial general intelligence is, at its core, a compression problem. Effective compression demands resonance: deep learning scales best when its architecture aligns…
cs.IR2026
PosIR: Position-Aware Heterogeneous Information Retrieval Benchmark
Ziyang Zeng, Dun Zhang, Yu Yan +4
In real-world documents, the information relevant to a user query may reside anywhere from the beginning to the end. This makes position bias -- a systematic tendency of retrieval…