…HyperEyes is trained in two stages. For cold-start supervision, we develop a Parallel-Amenable Data Synthesis Pipeline covering visual multi-entity and textual multi-constraint queries, curating efficiency-oriented trajectories via…
…AI-generated summary Reinforcement learning has become a central paradigm for advancing reasoning in large language models , yet most existing methods still depend on stronger teacher models or heavily curated difficult datasets…
…ai-lab/Probing-VLM-VGM}. View arXiv page View PDF GitHub 9 Add to collection Community As we push toward Vision-First architectures for robotics, a critical question remains: Which pre-training…
…AI-generated summary Joint-Embedding Predictive Architectures (JEPAs) provide a simpleframework for learning world models by predicting future latent representations .However, JEPA training is subject to a bias-variance tradeoff .Without sufficient…
…No dataset linking this paper Cite arxiv.org/abs/2605.07579 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2605…
…Liang Yao , , , , , , Abstract RemoteZero enables geospatial reasoning without box supervision by leveraging semantic verification capabilities of MLLMs for self-evolving localization from unlabeled remote sensing data. AI-generated summary Geospatial reasoning requires…
…AI-generated summary Training deep research agents, namely systems that plan, search, evaluate evidence, and synthesize long-form reports, pushes reinforcement learning beyond the regime of verifiable rewards. Their outputs lack ground…
…AI-generated summary Large language models (LLMs) for code completion and generation are increasingly used in software development, yet they may reproduce training examples verbatim and without authorship attribution, raising legal and…
…No dataset linking this paper Cite arxiv.org/abs/2605.06614 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2605…
…AI-generated summary Recent advances in generative video models are increasingly driven by post-training and test-time scaling, both of which critically depend on the quality of video reward models (RMs…
