carolina
Millions in path of 'extreme' life-threatening floods as Arthur slams EIGHT states after making landfall
'Ringleader' of alleged UFC drone attack to kill Trump is unmasked as illegal migrant who was granted DACA stay under Obama Watch horrifying drone video that follows woman's plunge to death after bungee team threw her from bridge without rope Horrific new videos blow Texas woman's mystery death wide open: Her agonizing'final gasp'... unthinkably vile corpse claims... and sick past of man who saw her last Taylor Swift's bottomless thirst for attention, her greed and sheer tackiness are now truly unbearable... this latest stunt has shown her true colors: MAUREEN CALLAHAN Spy world panic as Tulsi Gabbard prepares to unleash bombshell file dumps on secret CIA'mind control' project and Dr. Fauci Olivia Wilde, 42, complains about being on Maxim's Hot 100 List calling it the'most f***** up thing in the world' Has Taylor Swift already revealed her wedding dress designer? All my friends are suddenly getting divorced. Mid-life wives share taboo sex confessions about why they really leave... including common position that made one hate her husband: JANA HOCKING Kanye West's wife Bianca Censori raises eyebrows in plunging white lace lingerie as she photographs a nude model at Art Basel in Switzerland Knicks set to come face to face with Trump after president was'thunderously booed' at NBA Finals game Sensational REAL reason Jelly Roll is divorcing Bunnie XO: Insiders reveal'preacher's wife' bombshell that's the talk of Nashville... truth about legendary rocker cuckolding rumor... and G-string mishap Teen tourist thrown to death by Central Park horse was trying to save mom who flew out of carriage during family's first visit to Big Apple Father keeps his cool as shouting man calls cops on him for taking his two young daughters into women's restroom Trump privately frets Bibi Netanyahu's zeal to'bomb everyone' could turn him into another disgraced president'Moscow will burn', Zelensky vows as Russia's capital is blanketed in toxic smoke following huge Ukraine drone attack He drove a Rolls-Royce and lived the American dream. But behind the Gucci was the ATF's most unlikely secret weapon. MORE: Meteorologist reveals America's most dangerous cities in super El Niño's'corridor of chaos'... and warns this is only the beginning As many as 40 million people across eight states are in the deadly path of Tropical Storm Arthur after the first named storm of hurricane season made landfall Wednesday night.
2026 is off to a hopeful start for these critically endangered whales
At least 18 new baby North Atlantic right whales have been spotted swimming with their mothers. Breakthroughs, discoveries, and DIY tips sent every weekday. While most of us were feasting on holiday foods over the past few weeks, the New England Aquarium was busy counting North Atlantic right whale () mom-calf pairs off the coast of Florida, South Carolina, and Georgia. "Congrats to all of these North Atlantic right whale moms!" reads a social media post by the aquarium highlighting six recent sightings, including Juno--an over 40-year-old mother with her ninth documented calf spotted on December 27. On January 8, the count jumped up to 18 calves, according to the Clearwater Marine Aquarium .
Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
Wei, Rongzhe, Niu, Peizhi, Hsu, Hans Hao-Hsun, Wu, Ruihan, Yin, Haoteng, Ghassemi, Mohsen, Li, Yifan, Potluru, Vamsi K., Chien, Eli, Chaudhuri, Kamalika, Milenkovic, Olgica, Li, Pan
Machine unlearning techniques aim to mitigate unintended memorization in large language models (LLMs). However, existing approaches predominantly focus on the explicit removal of isolated facts, often overlooking latent inferential dependencies and the non-deterministic nature of knowledge within LLMs. Consequently, facts presumed forgotten may persist implicitly through correlated information. To address these challenges, we propose a knowledge unlearning evaluation framework that more accurately captures the implicit structure of real-world knowledge by representing relevant factual contexts as knowledge graphs with associated confidence scores. We further develop an inference-based evaluation protocol leveraging powerful LLMs as judges; these judges reason over the extracted knowledge subgraph to determine unlearning success. Our LLM judges utilize carefully designed prompts and are calibrated against human evaluations to ensure their trustworthiness and stability. Extensive experiments on our newly constructed benchmark demonstrate that our framework provides a more realistic and rigorous assessment of unlearning performance. Moreover, our findings reveal that current evaluation strategies tend to overestimate unlearning effectiveness. Our code is publicly available at https://github.com/Graph-COM/Knowledge_Unlearning.git.
Hurricane forecasters reveal shifting paths of Humberto and Imelda as Fujiwhara Effect begins
Cassie Ventura's attorney responds to Diddy sentencing as she's hailed by judge who jailed vile rapper It's day one of Diddy's comeback tour: MAUREEN CALLAHAN's dark prediction of Sean Combs' shameless next act... and who'll be welcoming him back with open arms The truth about Keith Urban's guitarist'other woman' Maggie Baugh revealed amid Nicole Kidman divorce Taylor, your album should be'Life of a Callgirl'. KENNEDY's appalled take on Swift's new record... and its ultra-vivid sex shout outs for Travis the Sasquatch My war with Harry & Meghan, by PIERS MORGAN: What really happened, their absurd accusations, the brutal truth about post-royal life... and how I believe their royal racism lies helped kill off woke Shroud of Turin mystery deepens as surgeon spots hidden detail that points to Jesus' resurrection I'm no longer sleeping with my husband - and never will again, says MOLLY RYDDELL. I love him, but counted down the moments until he climaxed. Then I couldn't bear it any more and the truth spilled out... so many women feel the same Fans erupt at Taylor Swift's'dig' at Travis Kelce's ex Kayla Nicole in wild The Life of a Showgirl track Trump dollar coin design released by Treasury... and it's inspired by an iconic political photo How I look like this at 62. I've lost 5 stone fast, 20 years off my biological age and wear size 8... without weight-loss jabs. The THREE singers Keith Urban's been cosying up to revealed - now Nicole Kidman's on the warpath and has done the thing every estranged husband fears most: ALISON BOSHOFF Lori Loughlin's husband Mossimo Giannulli seen with mystery brunette in tiny skirt day after shock split Trump appears alongside Melania at dinner hosted by JD Vance and Usha after'disappearance' rumors Top plastic surgeons reveal secrets behind Taylor Swift's'changing' face: 'It is looking very full' I'm a woman with autism... here are the signs you might be masking, even from yourself Cake-faced 90s sitcom star looks unrecognizable as she ditches the heavy eyeshadow for an LA errand run can you guess who?
SafeChat: A Framework for Building Trustworthy Collaborative Assistants and a Case Study of its Usefulness
Srivastava, Biplav, Lakkaraju, Kausik, Gupta, Nitin, Nagpal, Vansh, Muppasani, Bharath C., Jones, Sara E.
Collaborative assistants, or chatbots, are data-driven decision support systems that enable natural interaction for task completion. While they can meet critical needs in modern society, concerns about their reliability and trustworthiness persist. In particular, Large Language Model (LLM)-based chatbots like ChatGPT, Gemini, and DeepSeek are becoming more accessible. However, such chatbots have limitations, including their inability to explain response generation, the risk of generating problematic content, the lack of standardized testing for reliability, and the need for deep AI expertise and extended development times. These issues make chatbots unsuitable for trust-sensitive applications like elections or healthcare. To address these concerns, we introduce SafeChat, a general architecture for building safe and trustworthy chatbots, with a focus on information retrieval use cases. Key features of SafeChat include: (a) safety, with a domain-agnostic design where responses are grounded and traceable to approved sources (provenance), and 'do-not-respond' strategies to prevent harmful answers; (b) usability, with automatic extractive summarization of long responses, traceable to their sources, and automated trust assessments to communicate expected chatbot behavior, such as sentiment; and (c) fast, scalable development, including a CSV-driven workflow, automated testing, and integration with various devices. We implemented SafeChat in an executable framework using the open-source chatbot platform Rasa. A case study demonstrates its application in building ElectionBot-SC, a chatbot designed to safely disseminate official election information. SafeChat is being used in many domains, validating its potential, and is available at: https://github.com/ai4society/trustworthy-chatbot.
A deep causal inference model for fully-interpretable travel behaviour analysis
Transport policy assessment often involves causal questions, yet the causal inference capabilities of traditional travel behavioural models are at best limited. We present the deep CAusal infeRence mOdel for traveL behavIour aNAlysis (CAROLINA), a framework that explicitly models causality in travel behaviour, enhances predictive accuracy, and maintains interpretability by leveraging causal inference, deep learning, and traditional discrete choice modelling. Within this framework, we introduce a Generative Counterfactual model for forecasting human behaviour by adapting the Normalizing Flow method. Through the case studies of virtual reality-based pedestrian crossing behaviour, revealed preference travel behaviour from London, and synthetic data, we demonstrate the effectiveness of our proposed models in uncovering causal relationships, prediction accuracy, and assessing policy interventions. Our results show that intervention mechanisms that can reduce pedestrian stress levels lead to a 38.5% increase in individuals experiencing shorter waiting times. Reducing the travel distances in London results in a 47% increase in sustainable travel modes.
East Carolina's Parker Byrd becomes first NCAA D1 baseball athlete to play with prosthetic leg: 'It's unreal'
Fox News Flash top sports headlines are here. Check out what's clicking on Foxnews.com. Parker Byrd cemented his name in college baseball history books on Friday. The East Carolina University infielder and pitcher entered the game as a pinch-hitter. Byrd received a standing ovation from the crowd inside the stadium, who wanted to recognize him for becoming the first NCAA Division I baseball player to compete in a game with a prosthetic leg.
Can AI answer your money questions? We put chatbots to the test
NEW YORK, April 13 (Reuters) - Face it, we could all use a little help with our money. So who better to ask for personal finance advice than a couple of the most powerful chatbots on the planet? Both OpenAI's ChatGPT and Google's Bard are dominating headlines recently, for their generative capabilities and vast storehouses of information. Each has far more processing power than, say, any individual personal finance writer (ahem). What is one great business idea?
Carolina: a General Corpus of Contemporary Brazilian Portuguese with Provenance, Typology and Versioning Information
Crespo, Maria Clara Ramos Morales, Rocha, Maria Lina de Souza Jeannine, Sturzeneker, Mariana Lourenço, Serras, Felipe Ribas, de Mello, Guilherme Lamartine, Costa, Aline Silva, Palma, Mayara Feliciano, Mesquita, Renata Morais, Guets, Raquel de Paula, da Silva, Mariana Marques, Finger, Marcelo, de Sousa, Maria Clara Paixão, Namiuti, Cristiane, Monte, Vanessa Martins do
This paper presents the first publicly available version of the Carolina Corpus and discusses its future directions. Carolina is a large open corpus of Brazilian Portuguese texts under construction using web-as-corpus methodology enhanced with provenance, typology, versioning, and text integrality. The corpus aims at being used both as a reliable source for research in Linguistics and as an important resource for Computer Science research on language models, contributing towards removing Portuguese from the set of low-resource languages. Here we present the construction of the corpus methodology, comparing it with other existing methodologies, as well as the corpus current state: Carolina's first public version has $653,322,577$ tokens, distributed over $7$ broad types. Each text is annotated with several different metadata categories in its header, which we developed using TEI annotation standards. We also present ongoing derivative works and invite NLP researchers to contribute with their own.
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