Abstract: The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered ...
We might earn a commission if you make a purchase through one of the links. The McClatchy Commerce Content team, which is independent from our newsroom, oversees this content. This article has ...
We might earn a commission if you make a purchase through one of the links. The McClatchy Commerce Content team, which is independent from our newsroom, oversees this content. This article has ...
LLMs have shown strong performance in Knowledge Graph Question Answering (KGQA) by leveraging planning and interactive strategies to query knowledge graphs. Many existing approaches rely on ...
Several years ago, during a flight from Houston to Paris, I had a conversation with the CEO of a prominent Houston-based company. When I mentioned that I was a teacher, I asked him, “What skills do ...
A conversation with author Robert Steven Kaplan on how self-reflection leads to answers. What makes a leader truly effective? Is it about strategic vision, time management, confidence? Robert Steven ...
In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...
Abstract: Question answering over knowledge graphs (KGQA) seeks to automatically answer natural language questions by retrieving triples within the knowledge graph (KG). In the context of multi-hop ...
You’ve been waiting for it, hoping for it, dreaming about it, and at last, it’s here: the job is yours. Congrats! Rebecca Knight is a journalist who writes about all things related to the changing ...
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