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Schema-conditioned reasoning improves agentic reasoning performance on enterprise knowledge graphs; Iterative reasoning with schema constraints reduces hallucinations and improves factual grounding

██████████ 0.9 reasoning-reliability Peer-reviewed

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Structure-aware quantization improves retrieval efficiency for long-document question answering; Quantized retrieval maintains effectiveness while reducing computational overhead

██████████ 0.8 efficiency-scaling Peer-reviewed

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Federated Learning enables collaborative training of medical diagnostic AI models without direct sharing of confidential hospital data; Federated Learning improves algorithmic generalization through distributed multi-institutional data while preserving data privacy

██████████ 0.7 data-quality-curation Peer-reviewed

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Root-Concordant Lexical Analysis (RCLA) framework reduces subjective interpretive bias in Northwest Semitic text analysis; Restoration of absolute semantic invariance to root variables via invariant equation P = f(S, R, C) subject to B uncovers un-smoothed historical records

██████████ 0.7 hallucination-grounding Peer-reviewed

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Fine-grained Hope Speech Detection with multi-category framework (Counterfactual, Desire, Belief, Plan) outperforms binary classification models; Models trained on C-Hope scheme show improved detection of nuanced categories such as counterfactual and plan-based hope

██████████ 0.7 interpretability Peer-reviewed

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Continuous VAD (Valence-Arousal-Dominance) signals are more effective than discrete polarity for aspect-based sentiment classification when affect is subtle or implicit; Affect-enriched visual representations improve multimodal sentiment reasoning compared to generic visual embeddings

██████████ 0.8 multimodal-understanding Peer-reviewed

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Approximately 4,000 field-verified crop sample polygons collected for Rabi season 2025 in Vijayapura District; Dataset covers temporal period December 2024 to April 2025 during Rabi growing season

██████████ 0.8 data-quality-curation Peer-reviewed

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Human dyads converge to predicted sensorimotor Nash Equilibrium by modulating physical compliance and effort in a continuous Prisoner's Dilemma task; Behavioral variability in mixed strategy games reflects active strategic deployment of uncertainty rather than mere neuromotor noise

██████████ 0.8 embodied-ai Peer-reviewed

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Prompting AI systems should not be conflated with learning, as expertise requires durable internal cognitive structures developed through encoding, retrieval, schema formation, and reflective reasoning over time; Excessive reliance on GenAI without careful management may contribute to cognitive debt, reduced neural engagement, and cognitive decline

██████████ 0.7 reasoning-reliability Peer-reviewed

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AI governance must extend beyond traditional technology, security, procurement, and compliance reviews; Cross-functional oversight and documented decision-making are essential for responsible AI adoption

██████████ 0.8 agent-tool-use Peer-reviewed

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