Look Up Versus Say More Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Creator Playbook In My Bag Trending Now Back to School Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices All Series How to watch Atlético Madrid vs. Real Madrid in La Liga online for free Live stream select fixtures from La Liga without spending anything. Joseph Green is the Global Shopping Editor for Mashable. He covers VPNs, headphones, fitness gear, dating sites, streaming, and shopping events like Black Friday and Prime Day. Matt Ford is a freelance contributor to Mashable. All products featured here are independently selected by our editors and writers.

Ryan Day hints at day of reckoning, vows to make'hard decisions' after Ohio State's late-game Texas breakdown Josh Jacobs' ex-girlfriend files motion to permanently seal evidence in domestic violence case Ex-WWE star touts NXT roster, names tag team he'd like The Headbangers to go up against one day CC Sabathia says Yankees could do a better job helping young players handle the pinstripes: 'Different beast' Florida State fans pining for Jimbo Fisher's return are living in the past, not in reality Roman Reigns survives Penta's World Heavyweight Championship challenge, LA Knight makes a statement of his own Introducing OutKick's first original animated series, 'Sports Talk with Cal McCallister' Jesse Watters: We're being fed fantasies from a bunch of'sci-fi freaks' Jesse Watters: We're being fed fantasies from a bunch of'sci-fi freaks' Jesse Watters: AI is a huge threat to Democrats' credibility PBS, NPR and the Smithsonian have been taken over by this'left-wing project': Victor Davis Hanson Thomas Crooks FBI documents reveal details about Trump's would-be assassin Thomas Crooks FBI documents reveal details about Trump's would-be assassin DHS chief Mullin says there is'no compassion' over breaking the law Harris was the'weakest possible candidate': Former DNC fundraiser Kylian Mbappé, Vini Jr. and Ibrahima Konaté covered the'We are all Caballas' T-shirts as Spain grapples with migrant crisis Morocco migrants storm Spain's border as Europe faces immigration crisis Moroccan migrants celebrate after storming the Spanish border enclave of Ceuta on Thursday, triggering an immediate military response from Spain. Over 60,000 migrants attempt to cross, highlighting Europe's escalating border security crisis. Experts analyze the geopolitical fallout and the strain on local infrastructure as military forces try to restore order. Three very prominent soccer stars at Real Madrid sparked controversy on Tuesday night after refusing to wear T-shirts showing support for the autonomous city of Ceuta, which has dealt with a migrant crisis since late July. France stars Kylian Mbappé and Ibrahima Konaté, as well as Brazil's Vinícius Júnior, stepped onto the pitch at the Martinez Valero on Tuesday night for their match against Elche covering the shirts which bore the slogan, We are all Caballas, in Spanish.

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more In My Bag Look Up Say More Trending Now Mashable Selects Creator Playbook Back to School Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices Safety Net All Series How to watch Elche vs. Real Madrid online for free Live stream select fixtures from La Liga without spending anything. Joseph Green is the Global Shopping Editor for Mashable. He covers VPNs, headphones, fitness gear, dating sites, streaming, and shopping events like Black Friday and Prime Day. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission.

Mashable Selects Look Up Trending Now Good Connection: Uplifting stories for a digital age Creator Playbook Say More Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Switch Off Mashable Voices Safety Net Versus Gift Ideas For Everyone On Your List All Series How to watch Real Betis vs. Real Madrid online for free Live stream select fixtures from La Liga without spending anything. Joseph Green is the Global Shopping Editor for Mashable. He covers VPNs, headphones, fitness gear, dating sites, streaming, and shopping events like Black Friday and Prime Day. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission.

Mashable Voices Look Up Trending Now Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List Switch Off In My Bag VidCon with Mashable All Series How to watch Real Madrid vs. Real Sociedad online for free Live stream select fixtures from La Liga without spending anything. Joseph Green is the Global Shopping Editor for Mashable. He covers VPNs, headphones, fitness gear, dating sites, streaming, and shopping events like Black Friday and Prime Day. Matt Ford is a freelance contributor to Mashable. All products featured here are independently selected by our editors and writers.

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Say More Mashable Selects Mashable Voices Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Switch Off Trending Now In My Bag All Series How to watch Espanyol vs. Real Madrid online for free Live stream select fixtures from La Liga without spending anything. Joseph Green is the Global Shopping Editor for Mashable. He covers VPNs, headphones, fitness gear, dating sites, streaming, and shopping events like Black Friday and Prime Day. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission.

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Say More Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Mashable Selects Switch Off Trending Now In My Bag VidCon with Mashable All Series How to watch Schalke 04 vs. Real Madrid online for free Joseph Green is the Global Shopping Editor for Mashable. He covers VPNs, headphones, fitness gear, dating sites, streaming, and shopping events like Black Friday and Prime Day. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission. Access this free live stream from anywhere in the world with ExpressVPN .

In this paper, I introduce RisingBALLER, the first publicly available approach that leverages a transformer model trained on football match data to learn matchspecific player representations. Drawing inspiration from advances in language modeling, RisingBALLER treats each football match as a unique sequence in which players serve as tokens, with their embeddings shaped by the specific context of the match. Through the use of masked player prediction (MPP) as a pre-training task, RisingBALLER learns foundational features for football player representations, similar to how language models learn semantic features for text representations. As a downstream task, I introduce next match statistics prediction (NMSP) to showcase the effectiveness of the learned player embeddings. The NMSP model surpasses a strong baseline commonly used for performance forecasting within the community. Furthermore, I conduct an in-depth analysis to demonstrate how RisingBALLER's learned embeddings can be used in various football analytics tasks, such as producing meaningful positional features that capture the essence and variety of player roles beyond rigid x,y coordinates, team cohesion estimation, and similar player retrieval for more effective data-driven scouting. More than a simple machine learning model, RisingBALLER is a comprehensive framework designed to transform football data analytics by learning high-level foundational features for players, taking into account the context of each match. It offers a deeper understanding of football players beyond individual statistics. In recent years, the field of machine learning has been revolutionized by the introduction of the transformer architecture [1], which initially gained prominence in natural language processing (NLP) with models like BERT [2], RoBERTa [3], and more recently, the widespread use of large language models (LLMs). These models, often trained on seemingly simple tasks such as next token prediction or masked token prediction, have demonstrated remarkable performance in learning high-level features that effectively represent each word and model language intricately. They are capable of learning nuanced representations of the multiple meanings a word can have depending on its context.

Large Language Models (LLMs) have shown human-like reasoning abilities but still face challenges in solving complex logical problems. Existing unidirectional chaining methods, such as forward chaining and backward chaining, suffer from issues like low prediction accuracy and efficiency. To address these, we propose a bidirectional chaining method, Bi-Chainer, which dynamically switches to depth-first reasoning in the opposite reasoning direction when it encounters multiple branching options within the current direction. Thus, the intermediate reasoning results can be utilized as guidance to facilitate the reasoning process. We show that Bi-Chainer achieves sizable accuracy boots over unidirectional chaining frameworks on four challenging logical reasoning datasets. Moreover, Bi-Chainer enhances the accuracy of intermediate proof steps and reduces the average number of inference calls, resulting in more efficient and accurate reasoning.

Readability refers to how easily a reader can understand a written text. Several factors affect the readability level, such as the complexity of the text, its subject matter, and the reader's background knowledge. Generating summaries based on different readability levels is critical for enabling knowledge consumption by diverse audiences. However, current text generation approaches lack refined control, resulting in texts that are not customized to readers' proficiency levels. In this work, we bridge this gap and study techniques to generate summaries at specified readability levels. Unlike previous methods that focus on a specific readability level (e.g., lay summarization), we generate summaries with fine-grained control over their readability. We develop three text generation techniques for controlling readability: (1) instruction-based readability control, (2) reinforcement learning to minimize the gap between requested and observed readability and (3) a decoding approach that uses lookahead to estimate the readability of upcoming decoding steps. We show that our generation methods significantly improve readability control on news summarization (CNN/DM dataset), as measured by various readability metrics and human judgement, establishing strong baselines for controllable readability in summarization.