Human communication is based on a variety of inferences that we draw from sentences, often going beyond what is literally said. While there is wide agreement on the basic distinction between entailment, implicature, and presupposition, the status of many inferences remains controversial. In this paper, we focus on three inferences of plain and embedded disjunctions, and compare them with regular scalar implicatures. We investigate this comparison from the novel perspective of the predictions of state-of-the-art large language models, using the same experimental paradigms as recent studies investigating the same inferences with humans. The results of our best performing models mostly align with those of humans, both in the large differences we find between those inferences and implicatures, as well as in fine-grained distinctions among different aspects of those inferences.

What happens when a data scientist gets a riddle in form of a box? Of course he will (try) approach it as a data problem. In this article I will describe the whole process, and to be honest, it was not as easy as I thought. As with many problems, you can get completely lost and only by talking to a couple of friends, I got back on track again. As a data scientist, I like to approach this problem in a data manner. I realize that this method is far from the most obvious solution. But it was a very fun endeavor. Collecting too much data, train a transformer model to extract values from a video, and eventually use a minimizer to find the solution. This article is a summary of this (mostly) fun journey! I have divided this article in a couple of (for me) logical steps. All images in this article have been taken or are generated by me unless stated otherwise in the separate captions (which is none in this article).

New Delhi: Metaverse, the new buzzword amongst healthcare, a collective virtual shared space is no more a mystery box. This new emerging technology which is more prominent in the cryptocurrency market and gaming segment is now slowly proliferating in the healthcare domain. Some of the big hospitals are already adapting the digital virtual space of'metaverse'. ETHealthWorld explores what does this new technology'really' mean for healthcare? How will this technology make transformational changes, break the physical rules of the real world and redefine the future of the health domain.

You might not be able to totally recall the first time you ever played Mario, but just like any other game, you might have started with a clean slate, not knowing what to do. You see an environment in which you as Mario, the agent, have been placed that consists of bricks, coins, mystery boxes, pipes, sentient mushrooms called Goomba, and other elements. You begin taking actions in this environment by pressing a few keys before you realized then you can move Mario with the arrow keys to the left and right. Every action you take changes the state of Mario. You moved to the extreme left at the beginning but nothing happened so you started moving right.