Large language models (LLMs) have shown promising performance on various NLP tasks via task prompting. And their performance can be further improved by appending task demonstrations to the head of the prompt. And usually, a better performance can be achieved with more demonstrations. However, asking the users to write the demonstrations can be cumbersome. As a simple yet cost-effective workaround, this paper proposes a novel method called EPA (\textbf{E}asy \textbf{P}rompt \textbf{A}ugmentation)\footnote{While this paper considers augmenting prompts via demonstrations, we name it EPA as the name EDA is already taken by a well-known NLP method \citep{wei-zou-2019-eda}.} that effectively minimizes user efforts in writing demonstrations while improving the model performance at the same time. EPA achieves these goals by automatically augmenting the demonstrations with multiple sources/targets, where each of them paraphrases each other. This is well motivated as augmenting data via paraphrasing effectively improves neural language models. EPA thus employs paraphrasing as an augmentation method for in-context learning. Extensive experiments indicate that EPA effectively improves both NLU and NLG tasks, covering from natural language inference to machine translation in translating tens of languages.\footnote{Code and data will be released upon publication.}

A plaintiff in the lawsuit, Allie, and her lawyer Cassie Craven, join'America's Newsroom' to discuss the case, saying it is not about'trans inclusion,' but'erasing women.' Days after MSNBC interviewed transgender Wyoming sorority sister Artemis Langford following a judge's ruling in Langford's favor, a sorority sister and her attorney reacted on "America Reports." Artemis Langford, a transgender member of Kappa Kappa Gamma's University of Wyoming chapter, criticized media and public scrutiny received following the lawsuit, which was launched by several members of the college's chapter against the national sorority organization to bar Langford from membership. Federal Judge Alan Johnson, a Reagan appointee, ruled his court "will not define'woman' today," citing the lack of a definition of woman in KKG bylaws. The court cannot impede KKG's "freedom of expressive association," Johnson ruled.

Fox News correspondent Gillian Turner has the latest on the president's focus amid calls for an impeachment inquiry on'Special Report.' Lawmakers on the Senate Energy Committee were warned on Thursday about both the threats and opportunities that come with artificial intelligence being integrated into the U.S. energy sector and everyday life as a whole. The committee held a hearing on the rapidly advancing technology, and experts present spent a significant amount of time not only discussing AI but the ever-looming threat of China and its efforts to steal and recreate emerging U.S. capabilities. "China released their new generation of AI Development Plan, which includes [research and development] and infrastructure targets. The U.S. currently does not have a strategic AI plan like this," Committee Chair Joe Manchin, D-W.Va., said at the hearing's outset.

ChatGPT has proven it can help students with their homework, but now it is helping teachers create those very courses, a computer science professor told Fox News. The United Kingdom-based The Guardian newspaper announced that it was blocking ChatGPT owner OpenAI for being able to trawl content on its website. The Guardian announced in a report on its website last week that it is blocking OpenAI from using the paper's online content, citing concerns that its ChatGPT platform is "using unlicensed content to create its AI tools have led to writers bringing lawsuits against the company and creative industries calling for safeguards to protect their intellectual property." The move comes after OpenAI announced last month that it would enable websites to block the company's web crawler from accessing their content, with many online publishers joining The Guardian in choosing to block the crawler, according to the report. Other outlets listed as blocking the crawler, which uses information on websites to help generate AI content, include CNN, Reuters, Washington Post, Bloomberg, New York Times and The Athletic.

We introduce MADLAD-400, a manually audited, general domain 3T token monolingual dataset based on CommonCrawl, spanning 419 languages. We discuss the limitations revealed by self-auditing MADLAD-400, and the role data auditing had in the dataset creation process. We then train and release a 10.7B-parameter multilingual machine translation model on 250 billion tokens covering over 450 languages using publicly available data, and find that it is competitive with models that are significantly larger, and report the results on different domains. In addition, we train a 8B-parameter language model, and assess the results on few-shot translation. We make the baseline models available to the research community.

Kernel Regularized Least Squares (KRLS) is a popular method for flexibly estimating models that may have complex relationships between variables. However, its usefulness to many researchers is limited for two reasons. First, existing approaches are inflexible and do not allow KRLS to be combined with theoretically-motivated extensions such as random effects, unregularized fixed effects, or non-Gaussian outcomes. Second, estimation is extremely computationally intensive for even modestly sized datasets. Our paper addresses both concerns by introducing generalized KRLS (gKRLS). We note that KRLS can be re-formulated as a hierarchical model thereby allowing easy inference and modular model construction where KRLS can be used alongside random effects, splines, and unregularized fixed effects. Computationally, we also implement random sketching to dramatically accelerate estimation while incurring a limited penalty in estimation quality. We demonstrate that gKRLS can be fit on datasets with tens of thousands of observations in under one minute. Further, state-of-the-art techniques that require fitting the model over a dozen times (e.g. meta-learners) can be estimated quickly.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Microsoft will assume responsibility for the potential legal risks arising out of any claims raised by third parties so long as the company's customers use "the guardrails and content filters" built into its products, the company said. It offers functionality meant to reduce the likelihood that the AI returns infringing content. With the proliferation of generative AI – computer programs capable of generating text, images, sounds, other data – users have raised concerns over the technology's ability to generate content without referencing it to its original authors.

Our society has interpreted the sudden, dizzying rise of this new chatbot generation through the pop cultural lens of our youth. With it comes the sense that the straightforward "robots will kill us all" stories were prescient (or at least accurately captured the current vibe), and that there was a staggering naivete in the more forgiving "AI civil rights" narratives--famously epitomized by Star Trek's Commander Data, an android who fought to be treated the same as his organic Starfleet colleagues. Patrick Stewart's Captain Picard, defending Data in a trial to prove his sapience, thundered, "Your honor, Starfleet was founded to seek out new life: Well, there it sits! But far from being a relic of a bygone, more optimistic age, the AI civil rights narrative is more relevant than ever. It just needs to be understood in its proper context.

As Meta, the company behind Facebook, continues to develop its generative artificial intelligence tools, you can now request the removal of some of the personal data the company uses to train its AI model. There are a ton of caveats, though. Earlier this year, CEO Mark Zuckerberg announced plans to build a range of AI features into Meta's platforms like Facebook, Instagram, and WhatsApp. Despite the popularity of generative AI in Silicon Valley, murky legal questions remain for the technology, and many people are anxious about its rapid advancement. Want to stop Meta from using all of your info to improve its AI?

Fox News correspondent Gillian Turner has the latest on the president's focus amid calls for an impeachment inquiry on'Special Report.' The top Republican on the Senate Energy Committee will warn Thursday against allowing U.S. artificial intelligence capabilities to fall into China's hands when the panel meets for a hearing on the topic. Senators returned to Capitol Hill just days ago after spending the month of August in their home states. AI is expected to be a prominent topic for lawmakers as they race to get ahead of the rapidly advancing technology. It's also the topic at the heart of Thursday's hearing led by Energy Committee Chair Joe Manchin, D-W.Va., and ranking member John Barrasso, R-Wyo., that aims to examine how AI has affected the U.S. energy sector and how the federal government can stay competitive in that lane.