This content is not available in your location. Alexis Mac Allister scores an emphatic winner as Liverpool began their Champions League campaign with a win over Atletico Madrid at Anfield. Updates from your Sport topics will appear in My Sport and in a collection on the Sport homepage . Updates from your Sport topics will appear in My Sport and in a collection on the Sport homepage . Updates from your Sport topics will appear in My Sport and in a collection on the Sport homepage .

To play this video you need to enable JavaScript in your browser. BBC Sport visits Como to discover the vision and philosophy of the club's coach, Cesc Fabregas, who has overseen the team's remarkable rise to the Champions League. Updates from your Sport topics will appear in My Sport and in a collection on the Sport homepage . Updates from your Sport topics will appear in My Sport and in a collection on the Sport homepage . Updates from your Sport topics will appear in My Sport and in a collection on the Sport homepage .

Premier League predictions - how accurate were BBC Sport pundits? Last summer, 33 BBC TV and radio pundits made their predictions for the Premier League season, picking their champions and their top four. Twenty-one of them thought Liverpool would win it, and none of them got more than two clubs right. Although six pundits correctly picked Arsenal as champions, and everyone had the Gunners and Manchester City in their top four, Matthew Upson was the only one to have the top two in the order they actually finished. Martin Keown, Thomas Hitzlsperger, Sue Smith, Leon Osman and Jermaine Beckford were the other pundits who also backed Mikel Arteta's side.

Is this AI's worst prediction yet? Chris Sutton's guest this week, actor Éanna Hardwicke, plays Roy Keane in Saipan - a new film about the former Manchester United captain's infamous fallout with Republic of Ireland manager Mick McCarthy before the 2002 World Cup. It is in cinemas from Friday. Naturally, we asked AI who would play Sutton if a film were ever made about him. The best fit, apparently, is Hollywood heartthrob Tom Hardy - who is four inches shorter than BBC Sport football expert Sutton but is AI's top choice for the role because he is known for portraying tough, brooding characters with emotional depth. That just shows how way off the mark AI is, said Sutton. But I'm happy with Tom Hardy, even though he is not tall enough.

'Ridiculous amount of games' - has Haaland played too much football? The robot is malfunctioning and in need of a reset. Erling Haaland made a blistering start to the season but that prolific run of form has suffered a glitch. Though the Manchester City and Norway striker has scored a remarkable 39 goals in just 36 games for club and country this season, he has hit a sticky patch of form with only one goal in his past eight games. This has coincided with Pep Guardiola's men falling off the pace in the Premier League title race and suffering a monumental shock at Bodo/Glimt in the Champions League.

'He lives for the goals' - robot Haaland returns from malfunction Is Erling Haaland a big fan of Peter Crouch - or is he actually programmed like a robot? That may - or not be - a question posed after Manchester City's impressive Premier League victory over in-form Bournemouth on Sunday. The Norway striker malfunctioned for only the second time this season when he failed to score in last weekend's loss at Aston Villa, but he was back to being a goal machine with a ruthlessly efficient first-half double against the Cherries. If he is hiding any nuts and bolts under those blonde locks of his, Haaland did prove he was still human by missing a couple of chances to complete his hat-trick. But his scary statistics this season have left many in awe of the 25-year-old's prowess in front of goal, prompting a robot dance to mark his opener in the win that took his side up to second place.

Brighton have won at Old Trafford in each of the past three seasons but can Manchester United get the better of them on Saturday? People get angry whenever I don't back United to win but why should I trust them? said BBC Sport football expert Chris Sutton. They got a great result against Liverpool last time out, but it would be typical of them to follow that by losing this game. Sutton is making predictions for all 380 Premier League games this season, against AI, BBC Sport readers and a variety of guests. For week nine, he takes on The Charlatans guitarist Mark Collins, who supports Manchester United. The Charlatans' 14th album, We Are Love, is out on 31 October and they tour the UK in December.

Fox News senior foreign affairs correspondent Greg Palkot reports on the state of the suspected terrorists in Russia and the Kremlin's'spin machine.' Spain's Ministry of the Interior, on Tuesday, announced that it is on high alert and has activated all alert and response systems to prevent jihadist attacks during the Champions League quarterfinal matches scheduled to take place in Madrid on Tuesday and Wednesday, according to reports. On Tuesday, Real Madrid will take on Manchester City, while on Wednesday, Atlético Madrid will play against Borussia Dortmund. As the quarterfinals approach, threats have been made by the Islamic State terrorist network, which has threatened drone attacks on the soccer tournament, a reminder of the resurgence of the network after several deadly attacks earlier this year in places like Iran and Moscow. The ministry, led by Fernando Grand-Marlask, said the "State Security Forces and Bodies have all their early warning and protection systems activated, as well as their response systems ready" in response to preventing a terrorist attack, according to Spanish newspaper La Vanguardia.

Large language models have been widely adopted in natural language processing, yet they face the challenge of generating unreliable content. Recent works aim to reduce misinformation and hallucinations by resorting to attribution as a means to provide evidence (i.e., citations). However, current attribution methods usually focus on the retrieval stage and automatic evaluation that neglect mirroring the citation mechanisms in human scholarly writing to bolster credibility. In this paper, we address these challenges by modelling the attribution task as preference learning and introducing an Automatic Preference Optimization (APO) framework. First, we create a curated collection for post-training with 6,330 examples by collecting and filtering from existing datasets. Second, considering the high cost of labelling preference data, we further propose an automatic method to synthesize attribution preference data resulting in 95,263 pairs. Moreover, inspired by the human citation process, we further propose a progressive preference optimization method by leveraging fine-grained information. Extensive experiments on three datasets (i.e., ASQA, StrategyQA, and ELI5) demonstrate that APO achieves state-of-the-art citation F1 with higher answer quality.

A concentrate of passion, hope and romanticism. Every year thousands and thousands of teams compete in their leagues with different purposes. Some of them are built to win the title. Others just want to not be relegated. But the answer to their hopes always relies on the same thing: numbers.