Knowledge Base Question Answering (KBQA) aims to answer natural language questions using structured knowledge from KBs. While LLM-only approaches offer generalization, they suffer from outdated knowledge, hallucinations, and lack of transparency. Chain-based KG-RAG methods address these issues by incorporating external KBs, but are limited to simple chain-structured questions due to the absence of planning and logical structuring. Inspired by semantic parsing methods, we propose PDRR: a four-stage framework consisting of Predict, Decompose, Retrieve, and Reason. Our method first predicts the question type and decomposes the question into structured triples. Then retrieves relevant information from KBs and guides the LLM as an agent to reason over and complete the decomposed triples. Experimental results demonstrate that PDRR consistently outperforms existing methods across various LLM backbones and achieves superior performance on both chain-structured and non-chain complex questions.

It's 4 p.m. in Joshua Tree National Park and the air temperature is hovering around 99 degrees -- relatively mild for an August afternoon. But at ground level, the sand along the popular Hidden Valley Nature Trail has reached a scorching 136. "I don't want my bare feet on that," says ranger Anna Marini as she shows her thermometer gun reading to a couple visiting from Switzerland, who are appropriately awed. Marini uses the tool as a prop to engage hikers traversing this surreal desert wilderness that's roughly the size of Rhode Island. As the coordinator of the park's Preventative Search and Rescue Program, her mission is to protect visitors from hazards that include extreme heat, razor-sharp cacti and thirsty bees.

Alfredo Aliaga Burdio, 92, set a Guinness World Record when he made a 24-mile hike across the Grand Canyon last October. A 92-year-old man is making headlines and setting records after he successfully took on a nearly 24-mile hike across the Grand Canyon in Arizona. Alfredo Aliaga Burdio, who currently resides in Berlin, completed his record-setting trek across the Grand Canyon on Oct. 15, 2023. That journey led to Burdio claiming the title of oldest person to cross the Grand Canyon rim-to-rim on foot (male), according to an announcement on New Year's Day by the Guinness World Records. Burdio's journey, which lasted for a total of 34 hours and 2 minutes, included 21 hours and 15 minutes of actual hiking time.

The massive Valles Marineris canyon has been revealed in stunning new images taken by the European Space Agency's Mars Express. At 2,485 miles long, over 124 miles wide and more than 4 miles deep, the Red Planet's canyon makes America's seem downright puny by comparison - Valles Marineris would span the distance from the northern tip of Norway to the southern tip of Sicily. The new image depicts two trenches, or chasma, that form a portion of the western part of Valles Marineris. The picture uses data from the High Resolution Stereo Camera (HRSC) onboard Mars Express and it is a'true color' image, meaning it shows what would be seen by the human eye if looking at this region of Mars. The Red Planet's massive canyon has been revealed in new images released by the European Space Agency.

AI creates a video of the Grand Canyon This piece was created using AI-generated generated methodology using the parameter "Grand Canyon" and using a recursive zoom. ALL offers will be considered. Any questions, please don't hesitate to ask

Datasets that boosted state-of-the-art solutions for Question Answering (QA) systems prove that it is possible to ask questions in natural language manner. However, users are still used to query-like systems where they type in keywords to search for answer. In this study we validate which parts of questions are essential for obtaining valid answer. In order to conclude that, we take advantage of LIME - a framework that explains prediction by local approximation. We find that grammar and natural language is disregarded by QA. State-of-the-art model can answer properly even if 'asked' only with a few words with high coefficients calculated with LIME. According to our knowledge, it is the first time that QA model is being explained by LIME.