NCAA wins Tenth Circuit'stay', but faces more eligibility lawsuits from 2022 class athletes in chaotic time Jacob Misiorowski's MLB-leading ERA and WHIP make Milwaukee Brewers the pick against Atlanta Braves Texas AG Ken Paxton sends message to WNBA amid'concerns' over treatment of Sophie Cunningham supporters NFL to NCAA? Courtroom chaos Is giving pro athletes a bizarre path back to college, and it's only just begun Another sex toy was thrown during a WNBA game, and Dream's Angel Reese absolutely lost it AEW star Willow Nightingale shares how she's able to keep her joyful personality going Peyton Manning's freshman son makes his debut, but freak running back steals the show How Kirk Cousins and Fernando Mendoza are building'great' relationship through Raiders work, faith and more IndyCar star Alex Palou reflects on White House, Oval Office visit with Trump: 'incredible experience' I was a sports columnist at the Seattle Times for 11 years. Paige Bueckers grabs Caitlin Clark's arm, draws foul in tense moment before halftime of Wings win over Fever Mom of ex-SJSU volleyball star Brooke Slusser leads 8th'Sophie Night' rally in Dallas before Fever vs Wings Are American workers really using AI? Gen. Jack Keane details US military strategy as Trump warns of Iran's nuclear threat ISIS indoctrinating Americans with'ease,' ex-NYPD detective warns Clancy defense expected to wrap its case amid'voice' testimony RNC gets record cash but Mike Lee warns a'BLOODBATH' could still be coming Fans spot a raccoon reaching through the stands at Citi Field to grab peanut shells and later a whole hotdog. It's been pretty rough sledding for the New York Mets and their fans for most of this season. While their team has the highest total payroll in MLB this year, the Mets have subjected their loyal supporters to last-place baseball and a losing record on their home field. While the play on the diamond has been particularly tough to watch, the lone constant that everyone can rely on is the ballpark food, which one furry fan found to be the case when the Mets took on the San Diego Padres on Wednesday.

Rescued animals get plenty of fun and important enrichment in outdoor enclosures. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. A camera in recently renovated raccoon enclosure picked up some wild antics. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Raccoons are increasingly encroaching on populated areas, posing health risks for humans. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy . Raccoons are cute and curious creatures, but frequently carry infectious diseases .

Could raccoons become the new dogs? They're undeniably cute, but they'd also be a pretty annoying pet. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

Look closely and you'll see that every part of the text is not quite right. A few weeks ago, where I live in Johannesburg, a man ran a stop sign and crashed into my Subaru. At the scene he was frantic, unable to gather his thoughts. Half an hour later, I received a lengthy, perfectly grammatical text from him elegantly explaining how he perceived the crash had happened. For a repair quote, I wrote to a mechanic I know, a man who used to text me in curt phrases riddled with shorthand.

Geocoding involves automatic extraction of location coordinates of incidents reported in news articles, and can be used for epidemic intelligence or disaster management. This paper introduces Retrieval-Augmented Coordinate Capture Of Online News articles (RACCOON), an open-source geocoding approach that extracts geolocations from news articles. RACCOON uses a retrieval-augmented generation (RAG) approach where candidate locations and associated information are retrieved in the form of context from a location database, and a prompt containing the retrieved context, location mentions and news articles is fed to an LLM to generate the location coordinates. Our evaluation on three datasets, two underlying LLMs, three baselines and several ablation tests based on the components of RACCOON demonstrate the utility of RACCOON. To the best of our knowledge, RACCOON is the first RAG-based approach for geocoding using pre-trained LLMs.

Ensemble reasoning for the strengths of different LLM experts is critical to achieving consistent and satisfactory performance on diverse inputs across a wide range of tasks. However, existing LLM ensemble methods are either computationally intensive or incapable of leveraging complementary knowledge among LLM experts for various inputs. In this paper, we propose a Dynamic Ensemble Reasoning paradigm, called DER to integrate the strengths of multiple LLM experts conditioned on dynamic inputs. Specifically, we model the LLM ensemble reasoning problem as a Markov Decision Process (MDP), wherein an agent sequentially takes inputs to request knowledge from an LLM candidate and passes the output to a subsequent LLM candidate. Moreover, we devise a reward function to train a DER-Agent to dynamically select an optimal answering route given the input questions, aiming to achieve the highest performance with as few computational resources as possible. Last, to fully transfer the expert knowledge from the prior LLMs, we develop a Knowledge Transfer Prompt (KTP) that enables the subsequent LLM candidates to transfer complementary knowledge effectively. Experiments demonstrate that our method uses fewer computational resources to achieve better performance compared to state-of-the-art baselines.

In the largest global election year yet, generative AI is already being used to trick and manipulate voters around the world. Will this growing trend have real impact? Today on WIRED Politics Lab, we talk about a new online project that will be tracking the use of AI in elections around the world. Plus, Nilesh Christopher dives into the lucrative industry of deepfakes, and how politicians are using them to bombard Indian voters. Be sure to subscribe to the WIRED Politics Lab newsletter here.

Recent video generative models primarily rely on carefully written text prompts for specific tasks, like inpainting or style editing. They require labor-intensive textual descriptions for input videos, hindering their flexibility to adapt personal/raw videos to user specifications. This paper proposes RACCooN, a versatile and user-friendly video-to-paragraph-to-video generative framework that supports multiple video editing capabilities such as removal, addition, and modification, through a unified pipeline. RACCooN consists of two principal stages: Video-to-Paragraph (V2P) and Paragraph-to-Video (P2V). In the V2P stage, we automatically describe video scenes in well-structured natural language, capturing both the holistic context and focused object details. Subsequently, in the P2V stage, users can optionally refine these descriptions to guide the video diffusion model, enabling various modifications to the input video, such as removing, changing subjects, and/or adding new objects. The proposed approach stands out from other methods through several significant contributions: (1) RACCooN suggests a multi-granular spatiotemporal pooling strategy to generate well-structured video descriptions, capturing both the broad context and object details without requiring complex human annotations, simplifying precise video content editing based on text for users. (2) Our video generative model incorporates auto-generated narratives or instructions to enhance the quality and accuracy of the generated content. It supports the addition of video objects, inpainting, and attribute modification within a unified framework, surpassing existing video editing and inpainting benchmarks. The proposed framework demonstrates impressive versatile capabilities in video-to-paragraph generation, video content editing, and can be incorporated into other SoTA video generative models for further enhancement.

Impressive advances in text-to-image (T2I) generative models have yielded a plethora of high performing models which are able to generate aesthetically appealing, photorealistic images. Despite the progress, these models still struggle to produce images that are consistent with the input prompt, oftentimes failing to capture object quantities, relations and attributes properly. Existing solutions to improve prompt-image consistency suffer from the following challenges: (1) they oftentimes require model fine-tuning, (2) they only focus on nearby prompt samples, and (3) they are affected by unfavorable trade-offs among image quality, representation diversity, and prompt-image consistency. In this paper, we address these challenges and introduce a T2I optimization-by-prompting framework, OPT2I, which leverages a large language model (LLM) to improve prompt-image consistency in T2I models. Our framework starts from a user prompt and iteratively generates revised prompts with the goal of maximizing a consistency score. Our extensive validation on two datasets, MSCOCO and PartiPrompts, shows that OPT2I can boost the initial consistency score by up to 24.9% in terms of DSG score while preserving the FID and increasing the recall between generated and real data. Our work paves the way toward building more reliable and robust T2I systems by harnessing the power of LLMs.