The paper investigates whether world models can serve as foresight tools for agents, revealing that most current agents fail to reliably use them, and proposes a three‑stage foresight‑governance framework to bridge the gap between simulation and decision making.
This article analyzes the Prophet framework, which leverages a traditional VQA model to generate answer candidates and in‑context examples that prompt GPT‑3, achieving state‑of‑the‑art performance on the challenging OK‑VQA and A‑OKVQA benchmarks.
This article outlines Baidu's large‑scale knowledge graph applications in AI, detailing the need for multimodal semantic understanding, challenges in text and video comprehension, and the technical solutions including entity annotation, conceptization, knowledge networks, and multimodal fusion for enhanced search, recommendation, and visual question answering.
This article reviews a AAAI 2020 paper that introduces a language‑attention based Visual Question Answering model which decomposes questions into type, object, and concept expressions to mitigate language bias, explains its modular architecture, and demonstrates superior performance on VQA‑CP v2 through extensive experiments and ablations.
