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Agentic navigation systems require a base navigation model whose observation strategy can be externally reconfigured ...
Foundation models in language and multimodality achieve strong generalization by aligning heterogeneous data under a ...
Sparse attention can reduce the cost of long-context inference, but most variants introduce new architectural compone...
Omni-modal models can ingest video, audio, and text, but unified access to multiple modalities does not guarantee tha...
Robots operating in open-world environments must seamlessly integrate localization, spatial reasoning, navigation, an...
Embodied agents operating in decentralized and partially observable environments have attracted growing attention in ...
Predicting human item difficulty is central to educational assessment, where reliable estimates support fairness and ...
This study analyzes Sri Lankan migration and remittances over 32 years (1994-2025). Using a 384-month harmonized data...
Extracting dynamic 4D object interactions from massive, in-the-wild monocular videos offers a highly efficient data c...
We propose a framework for reward allocation in fully delegated AI cooperatives where humans are represented by agent...
Flow Matching (FM) has achieved remarkable generative performance, yet it suffers from exposure bias due to discrepan...
Autonomous coding agents now open and merge pull requests in shared repositories at scale, and the field evaluates th...