…rather than using fixed patterns, enabling diverse reasoning strategies for different inputs. AI-generated summary Unified multimodal models (UMMs) aim to integrate understanding and generation within a single architecture. However, it remains…
…visual degradations while maintaining performance on clean inputs through a dual-forward-pass strategy and specialized regularization techniques. AI-generated summary Reinforcement Learning has significantly advanced the reasoning capabilities of Multimodal Large…
…PlantMarkerBench provides a challenging and reproducible evaluation framework for literature-grounded biological evidence attribution and supports future research on trustworthy scientific information extraction and AI-assisted plant biology. View arXiv page View…
…AI-generated summary This paper proposes a novel approach to address the challenge that pretrained VLA models often fail to effectively improve performance and reduce adaptation costs during standard supervised finetuning (SFT…
…stored content evolves while scoring functions, fusion strategies, and answer-generation policies remain frozen at deployment. We argue that truly adaptive memory requires co-evolution at two levels: the stored knowledge and…
…AI-generated summary Autoregressive video generation paradigms offer theoretical promise for long video synthesis, yet their practical deployment is hindered by the computational burden of sequential iterative denoising . While cache reuse strategies…
…specialized attention heads for retrieving factual information and integrating multi-step reasoning, with distinct neural mechanisms for local reasoning steps versus global strategy coordination. AI-generated summary Recent studies have shown that…
…Xuanyu Zhu , , Yang Shi , , , , Abstract DRoRAE enhances visual representation by fusing multi-layer features from pretrained vision encoders through adaptive routing and incremental correction, improving reconstruction and generation quality. AI-generated summary…
…We organize existing methods into a structured taxonomy of Cascaded and Joint WAMs, with further subdivision by generation modality, conditioning mechanism, and action decoding strategy. We systematically analyze the data ecosystem fueling…
…AI-generated summary Language models excel at diagnostic assessments on currated medical case-studies and vignettes, performing on par with, or better than, clinical professionals. However, existing studies focus on complex scenarios…