grounding

"Phi-4-Reasoning-Vision-15Bは、推論と非推論データの注意深くキュレーションされた混合物に対する教師ありファインチューニング（SFT）でトレーニングされています。"

"検索制約と生成後の検証を組み合わせることで、より多くの成果を上げています。"

"同じ質問でも、使うツールによって参照されるソースが根本的に違う。これがLLMO時代の新しい現実です。"

"magicss v2は、「人間が設計・意思決定を行い、AIが実行・支援する」共創型のSEOライティングエージェントです。"

"Grounding With Bing Searchは、従来のBing Search APIを進化させた新しい検索基盤であり、生成AIとの統合を前提に設計されています。"

"Collective Narrative Grounding: Community-Coordinated Data Contributions to Improve Local AI Systems"

"TrackTeller focuses on behavior-dependent object references."

"The context hints at research on visually-grounded instruction policies, suggesting the core focus of the paper is bridging language and visual understanding in AI."

"The framework utilizes a dual-stage approach."

"The article is from ArXiv, indicating it's a pre-print research paper."

"The article is based on a research paper from ArXiv."

"The research focuses on learning visually-grounded active view selection."

"The context provided suggests the article is based on a paper submitted to ArXiv."

"The study is based on a theoretically grounded and empirically validated framework."

"The core of the research involves zero-shot 3D visual grounding."

"The paper is available on ArXiv."

"The paper focuses on improving GUI grounding with MVP."

"The article's focus is on the role of entropy in visual grounding."

"The research focuses on detector-empowered video large language models."

"The paper investigates the grounding and generalization aspects of AI problems."

"The research focuses on the potential of zooming for GUI grounding."

"The article's source is ArXiv, indicating a research paper."

"The context indicates the paper is sourced from ArXiv."

"The research focuses on remote sensing visual grounding."

"The research focuses on improving GUI grounding."

"The research focuses on boosting spatial reasoning capability of MLLMs for 3D Visual Grounding."

"The context provides the article title and source as ArXiv."

"The paper is published on ArXiv."

"The research paper is titled 'Video-R2: Reinforcing Consistent and Grounded Reasoning in Multimodal Language Models' and is available on ArXiv."

"The research focuses on "Refusal-Aware Reinforcement Fine-Tuning for Hard-Irrelevant Queries in Video Temporal Grounding""