Will the start of 2026 see a change of fortune for BBC Sport football expert Chris Sutton, whose title hopes are fading fast? After Sutton made a strong start to the season, AI has taken charge of the predictions title race, clinching another win last week. It's been a bad start to the new year for me, with AI top of the table, Sutton said. I also lost to my daugher Sophia at cards over Christmas. We played rummy and I think she was cheating - a lot like AI, she was definitely getting some help from somewhere. Sutton is making predictions for all 380 Premier League games this season, against AI, BBC Sport readers and a variety of guests. For week 20, he takes on singer-songwriter Andrew Cushin, who is a Newcastle fan.

Aston Villa are going for a fourth successive Premier League victory when they travel to Brighton on Wednesday, but should Unai Emery's side change the way they have been scoring goals on their winning run? There is apparently some debate about whether Villa's xG (expected goals) is unsustainable because they are scoring from long range, but that's nonsense, said BBC Sport football expert Chris Sutton. Villa have good players who can shoot from the edge of the box, so are you seriously going to tell them not to shoot now, because of xG? Give me a break. Sutton is making predictions for all 380 Premier League games this season, against AI, BBC Sport readers and a variety of guests. For the midweek fixtures in week 14, he takes on musician, author and Fulham fan Felix White. White is the guitarist with The Maccabees and 86TVs. His new book'Whatever will be, will be: A Matter of Life and Football' is out now.

Liverpool have lost three games in a row in all competitions but can they get back on track against old rivals Manchester United on Sunday? This is a huge game for Arne Slot's side, said BBC Sport football expert Chris Sutton. United can definitely hurt Liverpool on the break, and that is clearly the way they will set up at Anfield. Sutton is making predictions for all 380 Premier League games this season, against AI, BBC Sport readers and a variety of guests. For week eight, he takes on Addison and Aya from CBBC football drama Jamie Johnson FC (JJFC), which is set in the world of an elite academy at fictional Premier League club Hawx United. Do you agree with their scores? You can make your own predictions below. The most popular scoreline selected for each game is used in the scoreboards and tables at the bottom of this page.

Liverpool have lost two straight games in the Premier League and Champions League, but is this a wobble or something more serious? Arne Slot's side look so vulnerable defensively, said BBC Sport football expert Chris Sutton. I covered their defeat at Crystal Palace last weekend and Palace could have gone 4-0 up, no word of a lie. Alisson went off injured against Galatasaray, and if he is missing it is not going to help. We know Liverpool can hurt Chelsea on Saturday but it is the other end they have to worry about. Sutton is making predictions for all 380 Premier League games this season, against AI, BBC Sport readers and a variety of guests. For week six, he takes on Idlewild guitarist Rod Jones, who supports Leeds United.

The 197th Manchester derby takes place at Etihad Stadium on Sunday, but will it be the Blues or the Reds who claim the points - and local bragging rights? This is so hard to call, for many reasons, said BBC Sport football expert Chris Sutton. Manchester United could be buoyed by their win over Burnley before the international break, but I actually have bigger doubts about what we will see from Manchester City after seeing them capitulate the way they did against Brighton. Sutton is making predictions for all 380 Premier League games this season, against AI, BBC Sport readers and a variety of guests. For week four, he takes on Only The Poets frontman Tommy Longhurst. The Reading band are charging £1 a ticket when they play the O2 Academy Brixton, in February 2026.

Large language models (LLMs) have demonstrated transformative potential across various domains, yet they face significant challenges in knowledge integration and complex problem reasoning, often leading to hallucinations and unreliable outputs. Retrieval-Augmented Generation (RAG) has emerged as a promising solution to enhance LLMs accuracy by incorporating external knowledge. However, traditional RAG systems struggle with processing complex relational information and multi-step reasoning, limiting their effectiveness in advanced problem-solving tasks. To address these limitations, we propose CogGRAG, a cognition inspired graph-based RAG framework, designed to improve LLMs performance in Knowledge Graph Question Answering (KGQA). Inspired by the human cognitive process of decomposing complex problems and performing self-verification, our framework introduces a three-stage methodology: decomposition, retrieval, and reasoning with self-verification. By integrating these components, CogGRAG enhances the accuracy of LLMs in complex problem solving. We conduct systematic experiments with three LLM backbones on four benchmark datasets, where CogGRAG outperforms the baselines.

Implicit knowledge hidden within the explicit table cells, such as data insights, is the key to generating a high-quality table summary. However, unveiling such implicit knowledge is a non-trivial task. Due to the complex nature of structured tables, it is challenging even for large language models (LLMs) to mine the implicit knowledge in an insightful and faithful manner. To address this challenge, we propose a novel table reasoning framework Question-then-Pinpoint. Our work focuses on building a plug-and-play table reasoner that can self-question the insightful knowledge and answer it by faithfully pinpointing evidence on the table to provide explainable guidance for the summarizer. To train a reliable reasoner, we collect table knowledge by guiding a teacher LLM to follow the coarse-to-fine reasoning paths and refine it through two quality enhancement strategies to selectively distill the high-quality knowledge to the reasoner. Extensive experiments on two table summarization datasets, including our newly proposed InsTaSumm, validate the general effectiveness of our framework.

But in recent years, several clubs have brought boffins on board in the hopes of boosting their chances of success. Liverpool has partnered with Google's AI firm DeepMind to advise coaches on corner kicks, while other clubs have hired astrophysicists to analyse data and are even using missile-tracking technology to plot the move of every player. So, can science really tell us how to bend it like Beckham? MailOnline spoke to experts to uncover the formula for the winning football match ahead of Manchester United's match against Liverpool this Sunday. Can science really tell us how to bend it like Beckham? MailOnline spoke to experts to uncover the formula for the winning football match ahead of Manchester United's match against Liverpool this Sunday Taking a penalty is surely the most nerve-wracking experience for any player – a single moment that can decide the result of an entire tournament.

While chain-of-thought (CoT) prompting has revolutionized how LLMs perform reasoning tasks, its current methods and variations (e.g, Self-consistency, ReACT, Reflexion, Tree-of-Thoughts (ToT), Cumulative Reasoning (CR)) suffer from limitations like slowness, limited context grounding, hallucination and inconsistent outputs. To overcome these challenges, we introduce Evidence to Generate (E2G), a novel single-agent, two-step prompting framework. Instead of unverified reasoning claims, this innovative approach leverages the power of "evidence for decision making" by first focusing exclusively on the thought sequences (the series of intermediate steps) explicitly mentioned in the context which then serve as extracted evidence, guiding the LLM's output generation process with greater precision and efficiency. This simple yet powerful approach unlocks the true potential of chain-of-thought like prompting, paving the way for faster, more reliable, and more contextually aware reasoning in LLMs. \tool achieves remarkable results robustly across a wide range of knowledge-intensive reasoning and generation tasks, surpassing baseline approaches with state-of-the-art LLMs. For example, (i) on LogiQA benchmark using GPT-4 as backbone model, \tool achieves a new state-of-the Accuracy of 53.8% exceeding CoT by 18%, ToT by 11%, CR by 9% (ii) a variant of E2G with PaLM2 outperforms the variable-shot performance of Gemini Ultra by 0.9 F1 points, reaching an F1 score of 83.3 on a subset of DROP.

AI bot ChatGPT has named its ultimate Premier League line-up – but many fans may be surprised by some controversial omissions. MailOnline asked the tool, 'Can you give me your ultimate Premier League football team?' and it gave 11 Premier League winners in a 4-3-3 formation. But some big names are missing from the lineup, including Frank Lampard, Wayne Rooney and Gareth Bale. It even omitted Ryan Giggs – who has more Premier League winners' medals than any other player. Also missing are modern greats including Harry Kane, Mohamed Salah, Kevin De Bruyne and Erling Haaland, who now holds the record for most goals in a single Premier League season.