Abstract: Knowledge Graph Completion (KGC) has garnered massive research interest recently, and most existing methods are designed following a transductive setting where all entities are observed ...
There are many different kinds of reasoning. Some reasoning is by simple association. If you see very dark clouds coming your way, accompanied by lightning and thunder, you will probably conclude that ...
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...
A year ago, to the day, I wrote a column (“Americans really need to relax and stop taking national politics so seriously”) in which I argued that modern Americans are far too concerned with politics ...
When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...
Simple interest is paid only on the principal, e.g., a $10,000 investment at 5% yields $500 annually. Compound interest accumulates on both principal and past interest, increasing total returns over ...
Abstract: Inductive relation prediction aims to predict missing connections between entities unseen during training. Recent approaches adopt binary (positive or negative) training labels, which ...
In a new paper, researchers from Tencent AI Lab Seattle and the University of Maryland, College Park, present a reinforcement learning technique that enables large language models (LLMs) to utilize ...
The success of DeepSeek’s powerful artificial intelligence (AI) model R1 — that made the US stock market plummet when it was released in January — did not hinge on being trained on the output of its ...
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