arXiv Artificial IntelligenceThink with Structured Grounding: Perceptual Reinforcement Learning for Chart and Visual-Tabular Understanding
arXiv:2608.22429v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) capable of thinking…
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arXiv Artificial IntelligencearXiv:2608.22429v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) capable of thinking…
arXiv Artificial IntelligencearXiv:2608.22421v1 Announce Type: new Abstract: World models predict action-conditioned futures and serve as…
arXiv Artificial IntelligencearXiv:2608.22417v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to support…
arXiv Artificial IntelligencearXiv:2608.22364v1 Announce Type: new Abstract: World action models (WAMs) couple visual future prediction…
arXiv Artificial IntelligencearXiv:2608.22363v1 Announce Type: new Abstract: Medical visual question answering (VQA) is a crucial task in…
arXiv Artificial IntelligencearXiv:2608.22356v1 Announce Type: new Abstract: Explainable AI (XAI) research has produced a plethora of…
arXiv Artificial IntelligencearXiv:2608.22347v1 Announce Type: new Abstract: A cognitive architecture is more than the module that…
arXiv Artificial IntelligencearXiv:2608.22310v1 Announce Type: new Abstract: Long-term memory is crucial for personalized responses and…
arXiv Artificial IntelligencearXiv:2608.22266v1 Announce Type: new Abstract: In the context of information seeking, conversational agents…
arXiv Artificial IntelligencearXiv:2608.22237v1 Announce Type: new Abstract: Long-horizon agents increasingly rely on repeated access to…
arXiv Artificial IntelligencearXiv:2608.22214v1 Announce Type: new Abstract: In domain-specific multimodal long documents, images and text…
arXiv Artificial IntelligencearXiv:2608.22191v1 Announce Type: new Abstract: Software-engineering agents solve repository-level tasks…