Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Before joining the WNBA coaching ranks for the 2022 season, Becky Hammon was already a trailblazer. At the conclusion of her 16-year pro playing career in 2014, San Antonio Spurs coach Gregg Popovich, winner of five NBA titles, hired Hammon as the first full-time female assistant coach in NBA history.

President Trump on $1,000 World Cup ticket prices: 'I wouldn't pay it either, to be honest' Pirates vs. Diamondbacks betting preview targets the under as both offenses go cold in series Former LSU coach Brian Kelly uses AI to prepare for job interviews, proving he's just like the rest of us Newsom office source responds to planned protest against trans athlete at state playoff girls' track meet Framber Valdez gets what he deserves for punk move, suspended six games after drilling Boston's Trevor Story'Project Freedom' could soon resume: Report Iranian people are not citizens, but'subjects' of the regime: Middle East expert Vice Admiral Robert Harward weighs in on restarting'Project Freedom' in Strait of Hormuz Largest teachers' union accused of antisemitism in federal civil rights complaint McEnany's URGENT plea: 'Be Spencer Pratt!' WHO doesn't expect large Hantavirus outbreak US blockade keeps stranglehold on Iran's economy The UAB athletic department is investigating allegations of mental and physical abuse of players by head softball coach Taylor Smartt. Entering her second season with the Blazers in Birmingham, Alabama, Smartt had hoped to turn her first stint as a head coach into a success story. But there had been discussions around her coaching philosophy just months after she set foot on campus. Now, nearly two years later, the school finds itself in a terrible spot, as accusations of serious misconduct arise and an investigation by the athletic department heats up. On April 25, Taylor stepped away from the UAB softball team as the team was headed to Florida for a three-game series with USF in the American Conference.

Newsom office source responds to planned protest against trans athlete at state playoff girls' track meet Framber Valdez gets what he deserves for punk move, suspended six games after drilling Boston's Trevor Story MLB's new automated strike zone has a hidden feature helping umpires become more accurate than ever FIFA's World Cup ticket defense falls apart when compared to college football and NFL playoff prices Sophie Cunningham tells Angel Reese to'move on' after she reposted boyfriend dunking on rumored ex Pratt issues SHOCKING WARNING to socialist opponent: 'Stabbed in the NECK!' 'Fox & Friends' explores wearable technology's role in health and wellness NJ family outraged over killer's plea deal for slain daughter Jillian Ludwig OutKick Former LSU coach Brian Kelly uses AI to prepare for job interviews, proving he's just like the rest of us Kelly's transparency about his AI use is unlikely to make him more hirable, per On3 report Who should LSU call to be their next head coach? Joel Klatt reacted to the LSU Tigers firing Brian Kelly. He revealed who he thinks LSU should call to replace Brian Kelly as head coach. Joel also analyzes if the LSU head coaching job is the best coaching vacancy available. Artificial intelligence has become so pervasive in our modern society, it feels like you can't escape it.

Listen to any pundit's post-match reaction and you will hear variations of that soundbite. But can you analyse an athlete's state of mind, based on their on-pitch body language? In an era when football is increasingly leaning on data to demonstrate physical attributes, statistics offering an accurate indication of a player's psychological qualities, such as emotional control and leadership, are harder to come by. But Premier League clubs including Brighton are using a technique intended to help in that regard with selection and recruitment. Thomas Tuchel made headlines by telling England's players to communicate more after he evaluated their interactions during the final of Euro 2024, but counting the number of times players gesture or talk to each other on the pitch tells only part of the mental battle being played out.

Canada national team officials have used drones prior to the Paris Olympics and their Tokyo 2020 women's gold medal could be tarnished, officials said on Friday. The developments emerged after Bev Priestman was removed as Olympics head coach for Canada's women's team, following the flying of a drone over New Zealand's training session on Monday. Priestman, 38, was judged as "highly likely" to have been aware of the incident, leading to her suspension by Canada Soccer. Canadian media reported that both of the country's senior teams - men's and women's - have relied on drones for years. Canada Soccer chief executive Kevin Blue confirmed he had received "anecdotal feedback" related to drone use during the men's team's run to the Copa America semi-finals this summer and that coach Jesse Marsch had only been made aware of it after the event.

The Canadian Olympic Committee has removed women's national soccer head coach Bev Priestman for the remainder of the Paris Games after staffers allegedly used a drone to spy on an opponent. Two Canadian team staffers, assistant coach Jasmine Mander and analyst Joseph Lombardi, were "sent home immediately" for allegedly using a drone to spy on a New Zealand practice. Canada beat New Zealand, 2-1, Thursday. Priestman, who has denied involvement, initially volunteered to step away from the club prior to the committee's decision. Canada Soccer CEO and General Secretary Kevin Blue said in a COC release that "additional information has come to our attention regarding previous drone use against opponents, predating the Paris 2024 Olympic Games."

To recruit good players in the new College Football 25 video game from EA Sports, you must be willing to engage in activities most adults would find odd. You will press a button to scour the social media of a high schooler. You will send a direct message to that high schooler. You will try to make that high schooler interested enough in you that they will accept when you offer to book them a visit to see you. Your significant other will think it's extremely weird that you stay up doing this until well after midnight.

Existing work on Temporal Question Answering (TQA) has predominantly focused on questions anchored to specific timestamps or events (e.g. "Who was the US president in 1970?"). Little work has studied questions whose temporal context is relative to the present time (e.g. "Who was the previous US president?"). We refer to this problem as Present-Anchored Temporal QA (PATQA). PATQA poses unique challenges: (1) large language models (LLMs) may have outdated knowledge, (2) complex temporal relationships (e.g. 'before', 'previous') are hard to reason, (3) multi-hop reasoning may be required, and (4) the gold answers of benchmarks must be continuously updated. To address these challenges, we introduce the PAT-Questions benchmark, which includes single and multi-hop temporal questions. The answers in PAT-Questions can be automatically refreshed by re-running SPARQL queries on a knowledge graph, if available. We evaluate several state-of-the-art LLMs and a SOTA temporal reasoning model (TEMPREASON-T5) on PAT-Questions through direct prompting and retrieval-augmented generation (RAG). The results highlight the limitations of existing solutions in PATQA and motivate the need for new methods to improve PATQA reasoning capabilities.

With the widespread adoption of large language models (LLMs) in numerous applications, the challenge of factuality and the propensity for hallucinations raises significant concerns. To address this issue, particularly in retrieval-augmented in-context learning, we introduce the hierarchical graph of thoughts (HGOT), a structured, multi-layered graph approach designed to enhance the retrieval of pertinent passages during in-context learning. The framework utilizes the emergent planning capabilities of LLMs, employing the divide-and-conquer strategy to break down complex queries into manageable sub-queries. It refines self-consistency majority voting for answer selection, which incorporates the recently proposed citation recall and precision metrics to assess the quality of thoughts, linking an answer's credibility intrinsically to the thought's quality. This methodology introduces a weighted system in majority voting, prioritizing answers based on the citation quality of their thoughts. Additionally, we propose a scoring mechanism for evaluating retrieved passages, considering factors such as citation frequency and quality, self-consistency confidence, and the retrieval module's ranking. Experiments reveal that HGOT outperforms other retrieval-augmented in-context learning methods, including Demonstrate-Search-Predict (DSP), ReAct, Self-Ask, and Retrieve-then-Read on different datasets by as much as $7\%$, demonstrating its efficacy in enhancing the factuality of LLMs.

Understanding time is a pivotal aspect of human cognition, crucial in the broader framework of grasping the intricacies of the world. Previous studies typically focus on specific aspects of time, lacking a comprehensive temporal reasoning benchmark. To address this issue, we propose TimeBench, a comprehensive hierarchical temporal reasoning benchmark that covers a broad spectrum of temporal reasoning phenomena, which provides a thorough evaluation for investigating the temporal reasoning capabilities of large language models. We conduct extensive experiments on popular LLMs, such as GPT-4, LLaMA2, and Mistral, incorporating chain-of-thought prompting. Our experimental results indicate a significant performance gap between the state-of-the-art LLMs and humans, highlighting that there is still a considerable distance to cover in temporal reasoning. We aspire for TimeBench to serve as a comprehensive benchmark, fostering research in temporal reasoning for LLMs. Our resource is available at https://github.com/zchuz/TimeBench