The spread of rumors along with breaking events seriously hinders the truth in the era of social media. Previous studies reveal that due to the lack of annotated resources, rumors presented in minority languages are hard to be detected. Furthermore, the unforeseen breaking events not involved in yesterday's news exacerbate the scarcity of data resources. In this work, we propose a novel zero-shot framework based on prompt learning to detect rumors falling in different domains or presented in different languages. More specifically, we firstly represent rumor circulated on social media as diverse propagation threads, then design a hierarchical prompt encoding mechanism to learn language-agnostic contextual representations for both prompts and rumor data. To further enhance domain adaptation, we model the domain-invariant structural features from the propagation threads, to incorporate structural position representations of influential community response. In addition, a new virtual response augmentation method is used to improve model training. Extensive experiments conducted on three real-world datasets demonstrate that our proposed model achieves much better performance than state-of-the-art methods and exhibits a superior capacity for detecting rumors at early stages.

Figurative language permeates human communication, but at the same time is relatively understudied in NLP. Datasets have been created in English to accelerate progress towards measuring and improving figurative language processing in language models (LMs). However, the use of figurative language is an expression of our cultural and societal experiences, making it difficult for these phrases to be universally applicable. In this work, we create a figurative language inference dataset, \datasetname, for seven diverse languages associated with a variety of cultures: Hindi, Indonesian, Javanese, Kannada, Sundanese, Swahili and Yoruba. Our dataset reveals that each language relies on cultural and regional concepts for figurative expressions, with the highest overlap between languages originating from the same region. We assess multilingual LMs' abilities to interpret figurative language in zero-shot and few-shot settings. All languages exhibit a significant deficiency compared to English, with variations in performance reflecting the availability of pre-training and fine-tuning data, emphasizing the need for LMs to be exposed to a broader range of linguistic and cultural variation during training.

Existing research on multimodal relation extraction (MRE) faces two co-existing challenges, internal-information over-utilization and external-information under-exploitation. To combat that, we propose a novel framework that simultaneously implements the idea of internal-information screening and external-information exploiting. First, we represent the fine-grained semantic structures of the input image and text with the visual and textual scene graphs, which are further fused into a unified cross-modal graph (CMG). Based on CMG, we perform structure refinement with the guidance of the graph information bottleneck principle, actively denoising the less-informative features. Next, we perform topic modeling over the input image and text, incorporating latent multimodal topic features to enrich the contexts. On the benchmark MRE dataset, our system outperforms the current best model significantly. With further in-depth analyses, we reveal the great potential of our method for the MRE task. Our codes are open at https://github.com/ChocoWu/MRE-ISE.

A bipartisan panel of voters weighed in on the future of artificial intelligence and growing concerns surrounding the potential dangers of the emerging technology. Rapper Ice Cube described Artificial Intelligence (AI) as being "demonic" during a recent interview and said there would be a "backlash" against it from "real people." "Full Send Podcast" host Kyle Foregeard asked Ice Cube about the industry now and what he does and doesn't like about it. "The artists are getting lost in auto-tunes, and now that you have an AI computer. I think people don't want a computerized rapper no more. They want to hear your voice. I don't know any rappers by their voice no more. I used to know all the rappers just on hear their voice. He added, "So, I think they need to figure out how to put that auto-tune down, and we need to hear what people sound like and if they're as good.

Fox Nation's'Who Can Forget 2021?' revisits the year's biggest headlines. To watch the full program, visit foxnation.com "Jeopardy" fans are angry on behalf of nine-day champion Ben Chan after a spelling error caused his winning streak to come to an end. On Tuesday night's episode, Chan reached the Final Jeopardy category after a rocky start with a Daily Double loss that put him close with his opponents, Lynn Di Vito and Danny Lesserman. The category was "Shakespeare's Characters," and the clue was "Both of the names of these 2 lovers in a Shakespeare play come from Latin words for'blessed.'"

Add Eric Schmidt to the list of tech luminaries concerned about the dangers of AI. The former Google chief tells guests at The Wall Street Journal's CEO Council Summit that AI represents an "existential risk" that could get many people "harmed or killed." He doesn't feel that threat is serious at the moment, but he sees a near future where AI could help find software security flaws or new biology types. It's important to ensure these systems aren't "misused by evil people," the veteran executive says. Schmidt doesn't have a firm solution for regulating AI, but he believes there won't be an AI-specific regulator in the US.

Fujifilm is trying to beat Sony at its own game with the launch of the 26-megapixel X-S20, a content creation-oriented camera. Though it has a similar body and the same sensor as its predecessor, the X-S10, it offers some major improvements in terms of video quality and more. At the same time, it's considerably more expensive than the X-S10 was at launch. "X-S20 is truly a dream camera for any content creator looking to take their photos and videos creation to the next level, but especially for the ones that are documenting their lives, traveling the world, or streaming their stories online," said Fujifilm's Lisa Baxt, essentially describing the camera's market and purpose. Though it has the same last-generation 26-megapixel X-Trans sensor as the X-S10, it uses the company's new X-Processor 5.

Dyson's first robot vacuum, the 360 Eye, was a tallish robot vac that brought several new tricks to automated floor cleaning, for a price. Now, the UK company is trying again with the 360 Vis Nav robovac, which just launched in Australia and should come to the US later this year. The motor speed has increased from 78,000 RPM on its predecessor to 110,000, which supposedly delivers six times the suction of other robot vacuums. It also has a "triple-action" brush bar for optimal cleaning on different surfaces. Namely, it uses soft nylon for hard floors, anti-static carbon fiber filaments for fine dust and stiff nylon bristles for carpets. The company has also added an arm that pops out and redirects suction, picking up dirt at the edges.

Lauren: So you are the editor in chief here at WIRED, and you've been talking a lot about AI, so I wanted to see how good you are at telling regular human-made music apart from AI-generated music. Gideon: I mean, I can barely tell music by one human apart from another sometimes. So, uh, you know, you might be disappointed, but I will do my best. Lauren: Let's hear the second one. Lauren: First, I'm curious if you know who the artist is. Gideon: I have no idea.

Fox News correspondent Grady Trimble has the latest on fears the technology will spiral out of control on'Special Report.' Educational leaders at top U.K. schools are taking concerns over artificial intelligence into their own hands, forming an advisory board on the technology and warning AI's risks pose the "greatest threat" to schools. The United Kingdom is predicting AI could make a "transformative change" to its education system, according to Education Secretary Gillian Keegan, who said the technology could take the "heavy lifting out" of a teacher's day-to-day duties, such as compiling lesson plans. Following the release of ChatGPT last year, students across the world have reported using the technology to assist with school work, such as for research for term papers. Eight educators penned a letter to The Times of London this month warning that, though AI could serve as a useful tool to students and teachers, the technology's risks are considered schools' "greatest threat."