OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment Techniques
Ontology alignment (OA) has evolved through several methodological paradigms, ranging from lexical and structural ali...
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Ontology alignment (OA) has evolved through several methodological paradigms, ranging from lexical and structural ali...
The 2025--2026 AI market has seen a wave of stealth releases: frontier models launched anonymously on developer platf...
Bridging model-based control and learned policies in long-horizon manipulation has harbored a silent disagreement: co...
Long-horizon physical-world agents must reason over distant goals while grounding decisions in reliable closed-loop b...
Composable scene modeling aims to recover a real indoor scene as complete, editable object assets arranged as observe...
We describe the architecture and ablations of Qwen3.8-Flash-Next, a sparse mixture-of-experts model with 125B paramet...
Recent efforts have aimed to automate scientific diagram generation from paper content (Lin et al., 2026; Zhu et al.,...
Interactive world models extend video generation from offline clip synthesis toward persistent simulation of interact...
While low-rank adaptation (LoRA) is widely used for parameter-efficient model adaptation, how to regularize its train...
Reinforcement fine-tuning (RFT) is increasingly used to strengthen the reasoning abilities of large models, yet its e...
Large language models (LLMs) achieve strong performance on mathematical reasoning benchmarks, yet the mathematically ...
Image retrieval has traditionally been formulated as a point-wise matching problem, where each candidate image is sco...