Dad of woman, 31, killed by alligator details frantic phone call he received while she took her final breaths... as it's revealed victim noticed BUBBLES on river moments before predator struck First shark of the season spotted near one of America's busiest beaches amid Fourth of July warning Awful and avoidable reason popular girl, 19, died during boat trip to'Sex Rock': Grieving sister reveals tragic final moments and insists sibling was NOT too drunk to swim Madison Square Garden insiders leak Taylor Swift wedding details: Hour by hour schedule... the menu... and what's REALLY being built inside: 'It's so not like her' Beloved woman, 31, identified as alligator attack victim killed after predator ripped off both her arms... as nightmarish new details of her final moments are revealed America's terrifying ALS explosion: Experts reveal unexpected lifestyle habits fueling rise of deadly condition... and changes that can help REDUCE your risk after NFL icon's shock diagnosis Logan Paul and Alix Earle'kiss and make up' as Michael Rubin hosts bevy of rich and famous at his $50m Hamptons mansion ahead of exclusive White Party'Time traveler' who says he is from the year 2118 makes chilling claims about World War 3 and secret CIA inventions I tried the '1776 diet' and was stunned by the results. It banished bloating, cleared my skin and flattened my stomach in just DAYS... and you can still snack Activist says he is language policing people who use the slur'Karen' and scolds that it must only be used to describe racist white women Four housing horrors crush glittering metropolis where clued-in Americans smell the beginning of the end: 'Let them eat cake' Astonishing Sharpie trick murder victim's family used to get Florida Governor Ron DeSantis to fast-track killer's death penalty, as Sunshine State becomes execution factory Hidden face in the crowd that proves the TRUTH about Taylor Swift's MSG wedding to Travis Kelce: As singer is hit by last-minute'jitters' and can't even sleep, her private jet touches down... and absurd'bridezilla' behavior is exposed First shark of the season spotted near one of America's busiest beaches amid Fourth of July warning Americans are not the only ones heading to the beach this week. The first onshore shark was spotted lurking off the coast of Long Island on Monday, just days after New York officials told beachgoers to stay alert as sightings of the apex predators often peak around the Fourth of July. Footage captured by Joanna L Steidle shows a hammerhead shark swimming not too far from the white, sandy beach filled with people enjoying the day. ' I captured the 1st onshore shark sighting off the coast of New York for the season!' Steidle shared on X.

LLM-as-a-Judge has emerged as a promising tool for automatically evaluating generated outputs, but its reliability is often undermined by potential biases in judgment. Existing efforts to mitigate these biases face key limitations: in-context learning-based methods fail to address rooted biases due to the evaluator's limited capacity for self-reflection, whereas fine-tuning is not applicable to all evaluator types, especially closed-source models. To address this challenge, we introduce the Reasoning-based Bias Detector (RBD), which is a plug-in module that identifies biased evaluations and generates structured reasoning to guide evaluator self-correction. Rather than modifying the evaluator itself, RBD operates externally and engages in an iterative process of bias detection and feedback-driven revision. To support its development, we design a complete pipeline consisting of biased dataset construction, supervision collection, distilled reasoning-based fine-tuning of RBD, and integration with LLM evaluators. We fine-tune four sizes of RBD models, ranging from 1.5B to 14B, and observe consistent performance improvements across all scales. Experimental results on 4 bias types--verbosity, position, bandwagon, and sentiment--evaluated using 8 LLM evaluators demonstrate RBD's strong effectiveness. For example, the RBD-8B model improves evaluation accuracy by an average of 18.5% and consistency by 10.9%, and surpasses prompting-based baselines and fine-tuned judges by 12.8% and 17.2%, respectively.

LLM-as-a-Judge has emerged as a promising tool for automatically evaluating generated outputs, but its reliability is often undermined by potential biases in judgment. Existing efforts to mitigate these biases face key limitations: in-context learning-based methods fail to address rooted biases due to the evaluator's limited capacity for self-reflection, whereas fine-tuning is not applicable to all evaluator types, especially closed-source models. To address this challenge, we introduce the Reasoning-based Bias Detector (RBD), which is a plug-in module that identifies biased evaluations and generates structured reasoning to guide evaluator self-correction. Rather than modifying the evaluator itself, RBD operates externally and engages in an iterative process of bias detection and feedback-driven revision. To support its development, we design a complete pipeline consisting of biased dataset construction, supervision collection, distilled reasoning-based fine-tuning of RBD, and integration with LLM evaluators. We fine-tune four sizes of RBD models, ranging from 1.5B to 14B, and observe consistent performance improvements across all scales. Experimental results on 4 bias types--verbosity, position, bandwagon, and sentiment--evaluated using 8 LLM evaluators demonstrate RBD's strong effectiveness. For example, the RBD-8B model improves evaluation accuracy by an average of 18.5% and consistency by 10.9%, and surpasses prompting-based baselines and fine-tuned judges by 12.8% and 17.2%, respectively. These results highlight RBD's effectiveness and scalability. Additional experiments further demonstrate its strong generalization across biases and domains, as well as its efficiency.

A New Jersey Mayor has shared new footage of'glowing orbs transforming into drones' over Long Island, adding more intrigue to this ongoing mystery. Michael Melham, the Mayor of Belleville, has been outspoken about the unexplained phenomena plaguing his state and the greater tri-state area since mid-November when the drones first appeared. He shared the bizarre footage on X, saying the clips'appears to show glowing orbs turning into drones. Verified not to be planes via flight tracker. In a recent interview with NewsNation, Melham said he is still getting reports of drone sightings'all over New Jersey, and even Long Island.' 'Here in New Jersey, we are about 500 mayors strong, we are still waiting for answers because our residents are still gravely concerned over what's flying just over our homes,' he said.

Belleville, New Jersey mayor Michael Melham joins'Fox News Live' to discuss growing concern over mysterious drone sightings. Two Massachusetts men who flew a drone "dangerously close" to Logan International Airport in Boston are facing charges, police say. Robert Duffy, 42, of Boston's Charlestown neighborhood and Jeremy Folcik, 32, of Bridgewater were taken into custody late Saturday night on Long Island, which is located on the approach to the airport, according to the Boston Police Department. "The incident began earlier that evening, at 4:30 PM, when a Boston Police Officer specializing in real-time crime surveillance detected an Unmanned Aircraft System (UAS) operating dangerously close to Logan International Airport," police said in a statement. "Leveraging advanced UAS monitoring technology, the Officer identified the drone's location, altitude, flight history, and the operators' position on Long Island."

George Gorman, Long Island regional director for the NY State office of Parks and Recreation, explains how drones are being used to track sharks and ensure swimmers' safety. Authorities are using drones to monitor Long Island waters following a flurry of recent incidents with sharks off New York shores. Earlier this week, five people reported being bitten by sharks at popular beaches. In response to encounters there and in other police jurisdictions, the Suffolk County Police Department said it would increase its shark patrols, using drones for an aerial view. "While residents are encouraged to enjoy the summer at the beach, swimmers should remain vigilant when in the water. If you see a shark, or a pod of bunker fish that attract the predators, calmly exit the water and alert the lifeguard on duty or a local official," the department said on Facebook.

Ever wake up so bleary-eyed and unable to function that you can barely get it together to stumble your way into the kitchen and mix a cocktail? Well, have we got a product for you. The Black & Decker Bev does for mixed drinks what Keurig did for coffee, complete with all the pros and cons that the comparison implies. The $250 Black & Decker Bev "corded cocktail maker" is quite the monstrosity on the countertop, weighing 16 pounds unloaded and measuring 15 inches tall with a footprint of 16 by 18 inches. Six tubes extend downward into liquor bottles that you provide--vodka, gin, whiskey (your choice), rum, and tequila.

A Long Island artificial intelligence startup has built software aimed at pinpointing U.S. counties where the COVID-19 outbreak is likely to be most deadly. In a June report, the data-mining company, Akai Kaeru LLC, forecast spiking COVID-19 mortality with the heaviest concentrations in counties of the Southeast, including Mississippi, Georgia and Louisiana, said co-founder and chief executive Klaus Mueller. Nationwide, the software found 985 out of all 3,007 U.S. counties are at risk. "These patterns identify groups of counties that have a steeper increase in the death-rate trajectory," he said. Closer to home, the software found Nassau and Suffolk counties are likely to be relatively stable, but Westchester and Rockland counties are potential tinderboxes that could tip into crisis, said Mueller, a computer science professor on leave from Stony Brook University.

A drone being used to help search for a missing dog ended up getting shot out of the sky by a man on New York's Long Island on Saturday, police said. The Suffolk County Police Department said in a news release Sunday that 26-year-old Gerard Chasteen is facing charges of third-degree criminal mischief and prohibited use of a weapon after firing at the drone from his yard. The incident took place around 4:45 p.m. after members of Missing Angels-Long Island, an organization that searches for missing pets, were using a Mavic 2 Zoom drone to search for a missing dog. The volunteer members lost contact with the drone, whicht retails over $1,300, and GPS placed it above Chasteen's home in Saint James, according to police. A man shot a drone out of the sky on New York's Long Island on Saturday, officials said.

An American man who murdered and beheaded a Japanese woman he met on an online dating app has been sentenced to eight years in prison, according to reports. Yevgeniy Vasilievich Bayraktar, of Long Island, New York, was sentenced on Tuesday in a Japanese court after reportedly admitting to strangling Saki Kondo, 27, in February 2018 at an apartment he'd rented while sightseeing in Osaka. Bayraktar strangled the young woman and then used a saw to dismember her, and buried her body parts across different cities, the New York Post reports. Bayraktar, 27, was not indicted for murder in the case, because prosecutors could not prove that he had set out with the intention to kill Kondo. He was instead charged and found guilty of manslaughter and abandoning a body.