Trump's three-word threat as Iran opens up new front and oil surges to $100 per barrel Harry has reached a new low. It's such a slap in the face to his father... especially after what the King's friend told me: RICHARD EDEN Bravo cheating scandal explodes as'jealous' Nashville influencer LEAKS steamy video to destroy her Texas rival... and reality star cowboy drops insane breakup texts: 'You f***ing sl**' Prince William's'decoy' girlfriend Bryony Daniels, 44, who helped royal sneak off with Kate at St Andrews gets her own happily ever after as she weds Duke of Sutherland's nephew in gold brocade Emilia Wickstead dress Chain's unlimited'Pasta Pass' returns for an eye-watering $100 after six-year hiatus - but fans are already complaining they'll never get one I've had one myself (and the humiliating sex encounter with a 26-year-old to prove it)... so trust me, I can see all the signs: LIZ JONES Shock moment Joy Behar kisses married The View guest on the lips on live TV and his wife's reaction is revealed Olivia Wilde fires off on'creature' Elon Musk as she recalls the first time she met the Tesla'trillionaire' When to worry about your beer belly... millions of men ignore their paunch but DR PHILIPPA KAYE reveals the signs that it could be dangerous - and the 30-second test you must take now As a mother of three, I hid my cocaine in the airing cupboard and used while my family slept. No one had a clue... but this is what it did to my sex life and parenting. Ed Harris's future on Dutton Ranch revealed after he begged to'get out' of Taylor Sheridan show'Shining light' homecoming queen, 18, dies of brain aneurysm just weeks after she graduated from top private school New Jennifer Lopez drama that means she and Ben Affleck STILL'can't escape each other'... two whole years after divorce: As she posts nearly naked selfie with humiliating detail... friends reveal what she'has to suck up' and his'prickly' outbursts Russia'is helping Iran strike CIA bases in Middle East', Western officials fear Brutal truth about Mounjaro-jowls Rosie O'Donnell.... even her $90,000 facelift can't hide this: CAROLINE BULLOCK Honest widower, 76, alerted IRS after they accidentally sent him $20k refund he wasn't owed... now its idiot staff are ruining his finances and threatening to seize his farm MORE: Urgent warning to brace for catastrophic'Ring of Fire' disaster as global megaquake chain reaction sparks fears for MILLIONS in its path: 'Super overdue' Tropical Storm Bertha is expected to strike the US coast for a second time as forecasters warn that millions of residents could feel the impact within hours. The heart of the storm has moved back into the Gulf of America after making its first landfall Wednesday afternoon in Alabama and Louisiana .

Chilling map shows where more than 117,000 surveillance cameras are hiding in the US... is your hometown being watched? Chaos at ESPN as'cowardly' execs are slammed for firing $2m-a-year star MID-SHOW... with more layoffs expected today How to lose more than a stone every month WITHOUT weight-loss jabs: I spent years yo-yo dieting and thought I'd cracked it so many times. Here's the method that finally worked... and the tweak that helped me to drop 5 st in my 60s - and keep it off She thinks she's the ugliest person in the world. A soulless ghoul': Charlie Kirk's family reveal widow's private tirades against podcaster she refers to as'that b****' 'Adam Levine is a super weird guy': Insiders reveal ugly Hollywood verdict on Maroon 5 star... and real reason Victoria's Secret model wife didn't leave him after sexting scandal US soldier is identified after he was killed by Iranian drone - read his wife's heartbreaking post Journey rocker SLAMS Bruce Springsteen as'an annoying, bitter old man' who'should shut up'... after Mick Jagger takes aim at him Tom Brady beams in sweet family photo with sons and daughter Vivian who's spitting image of ex Gisele Bundchen Kai Trump reveals diet and exercise secrets that created her new washboard abs... and the impact mom Vanessa had on her fitness journey No one's shocked Harry wants to reverse Megxit. Sinister underbelly of Instagram-perfect paradise adored by Americans... where men prey on women in maze of unmarked alleys: 'I just started screaming' Aaron Rodgers REUNITES with his estranged parents after'more than a decade'... but one family member is missing from photoshoot Manhattan elite flocking to picturesque'anti-Hamptons' enclave that offers REAL luxury for fraction of the price Disgusted schoolgirl speaks out after board member sparked fury by telling her'God, you're hot' during public meeting No wonder they're so giddy... they've discovered Travis Kelce's secret!

FIFA launch investigation into Argentina's shocking World Cup final post-match behaviour... as new footage shows what really sparked final-whistle brawl Progressive Minneapolis official gets PROMOTION and pay rise after America's wokest prosecutor gave him slap on wrist for keying six Teslas at dealership to avenge Trump win Trump's cringe World Cup cameo was a fitting finale to a tournament blighted by excess, greed and FIFA boss Gianni Infantino's twisted dreams'People hate her': KENNEDY's Hollywood mole unleashes on Angelina Jolie... as two more of her kids publicly humiliate dad Brat Pitt Car experts reveal the little-known stereotypes that are actually TRUE... What does your vehicle really say about you? No one's shocked Harry wants to reverse Megxit. MAGA-friendly Fox News star Maria Bartiromo hints she's losing patience with Trump by asking VERY pointed question to ex-White House aide Shakira fans marvel over her'ageless' appearance at World Cup final as her ex-husband watches on from the stands with their sons Mystery over what REALLY caused'explosive diarrhea' parasite as FDA admits lettuce that was first to blame was a'false positive' Trump reveals first photo of JD Vance's'perfect baby boy' Ever since I went on Vyvanse for ADHD, my marriage has felt different. A comment from my husband made me realise why women are calling it the'divorce drug': ASK JANA Scandal engulfs'it girl' fashion empire Set Active: Explosive claims about influencer founder's desperate fixation... 'inappropriate' texts that went ignored... and why employees wanted to stay on her'good side' Bitter Argentina players turn their backs to Spain's World Cup trophy lift after violence marred winners' celebrations - as lip-reader reveals what furious star said to winning captain Rodri during brawl Inside Luke Wilson's reclusive life with decades-younger girlfriend Kendall Yates: Friends reveal new details about their'secretive' romance after birth of their child... as unseen pictures of her emerge Hollywood's new youth elixir: Wealthy women are hooked on secret holy grail said to banish wrinkles and plump skin... but doctors warn of shock risk Inside the'pure evil' Ohio'House of Horrors': Forensic psychologists analyze every disturbing detail about the 16 children found living in squalor MORE: Urgent warning to brace for catastrophic'Ring of Fire' disaster as global megaquake chain reaction sparks fears for MILLIONS in its path: 'Super overdue' A tropical storm is predicted to erupt along the US Gulf Coast within hours as millions of Americans brace for a direct hit and life-threatening conditions. The National Hurricane Center has already named the latest disturbance Tropical Depression Two, but forecasters expect this system to grow into a named storm as soon as Monday afternoon when wind speeds increase to more than 39 mph.

IBM shares dropped steeply amid AI spending concerns, while Jamie Dimon urges calm over artificial intelligence's impact on jobs and the workforce.

Vision-Language Models (VLMs) are integral to tasks such as image captioning and visual question answering, but their high computational cost, driven by large memory footprints and processing time, limits their scalability and real-time applicability. In this work, we propose leveraging Singular-Value Decomposition (SVD) over the joint query (Q), key (K), and value (V) weight matrices to reduce KV cache size and computational overhead. We in addition introduce an efficient rank allocation strategy that dynamically adjusts the SVD rank based on its impact on VLM accuracy, achieving a significant reduction in both memory usage and computational cost. Finally, we extend this approach by applying quantization to both VLM weights and activations, resulting in a highly efficient VLM.

The Object Goal Navigation (ObjectNav) task challenges agents to locate a specified object in an unseen environment by imagining unobserved regions of the scene. Prior approaches rely on deterministic and discriminative models to complete semantic maps, overlooking the inherent uncertainty in indoor layouts and limiting their ability to generalize to unseen environments. In this work, we propose GOAL, a generative flow-based framework that models the semantic distribution of indoor environments by bridging observed regions with LLM-enriched fullscene semantic maps. During training, spatial priors inferred from large language models (LLMs) are encoded as two-dimensional Gaussian fields and injected into target maps, distilling rich contextual knowledge into the flow model and enabling more generalizable completions. Extensive experiments demonstrate that GOAL achieves state-of-the-art performance on MP3D and Gibson, and shows strong generalization in transfer settings to HM3D. Codes and pretrained models are available at https://github.com/Badi-Li/GOAL.

We use prompts to LLMs to act as language tools for two types of tasks in our work. The first being to798 read through and retrieve the relevant information from news articles to caption our image sequences,799 figures 6 and 7 The second being utilizing our captions to generate event specific question-answer800 pairs, figures 8 and 9.801 We conducted human validation on 144 events sampled across 15 disaster types to assess caption803 quality. Human evaluators were asked to classify each event as: (1) clear alignment between images,804 captions, and sources, (2) mismatch, or (3) inconclusive where imagery was insufficient to verify805 caption details. Overall results showed 65.3% clear alignment between images, captions, and sources,806 18.8% had mismatches, and 16.0% were inconclusive where imagery was insufficient to verify807 caption details. Excluding inconclusive cases, 77.7% of determinable events showed alignment,808 demonstrating reasonable caption quality for LLM-generated annotations.809

Processing structured tabular data, particularly large and lengthy tables, constitutes a fundamental yet challenging task for large language models (LLMs). However, existing long-context benchmarks like Needle-in-a-Haystack primarily focus on unstructured text, neglecting the challenge of diverse structured tables. Meanwhile, previous tabular benchmarks mainly consider downstream tasks that require highlevel reasoning abilities, and overlook models' underlying fine-grained perception of individual table cells, which is crucial for practical and robust LLM-based table applications. To address this gap, we introduce NEEDLEINATABLE (NIAT), a new long-context tabular benchmark that treats each table cell as a "needle" and requires models to extract the target cell based on cell locations or lookup questions. Our comprehensive evaluation of various LLMs and multimodal LLMs reveals a substantial performance gap between popular downstream tabular tasks and the simpler NIAT task, suggesting that they may rely on dataset-specific correlations or shortcuts to obtain better benchmark results but lack truly robust long-context understanding towards structured tables. Furthermore, we demonstrate that using synthesized NIAT training data can effectively improve performance on both NIAT task and downstream tabular tasks, which validates the importance of NIAT capability for LLMs' genuine table understanding ability.

Multi-modal Knowledge Graph Completion (MMKGC) aims to predict missing entities, relations, or attributes in knowledge graphs by collaboratively modeling the triple structure and multimodal information (e.g., text, images, videos) associated with entities.

'Ringleader' of alleged UFC drone attack to kill Trump is unmasked as illegal migrant who was granted DACA stay under Obama Spy world panic as Tulsi Gabbard prepares to unleash bombshell file dumps on secret CIA'mind control' project and Dr. Fauci Watch horrifying drone video that follows woman's plunge to death after bungee team threw her from bridge without rope Horrific new videos blow Texas woman's mystery death wide open: Her agonizing'final gasp'... unthinkably vile corpse claims... and sick past of man who saw her last Taylor Swift's bottomless thirst for attention, her greed and sheer tackiness are now truly unbearable... this latest stunt has shown her true colors: MAUREEN CALLAHAN Kanye West's wife Bianca Censori raises eyebrows in plunging white lace lingerie as she photographs a nude model at Art Basel in Switzerland Trump says'fools who think I haven't been tough enough on Iran' are'jealous or stupid' after signing widely-criticised deal that includes giving Tehran $300billion Father keeps his cool as shouting man calls cops on him for taking his two young daughters into women's restroom All my friends are suddenly getting divorced. Mid-life wives share taboo sex confessions about why they really leave... including common position that made one hate her husband: JANA HOCKING Sensational REAL reason Jelly Roll is divorcing Bunnie XO: Insiders reveal'preacher's wife' bombshell that's the talk of Nashville... truth about legendary rocker cuckolding rumor... and G-string mishap Brooklyn Beckham is savaged by fans for yet another'classless' swipe at his estranged family as new DoorDash ad is branded a'giant PR mess' LIZ JONES: The cracks in Harry and Meghan's perfect facade have started to show. It's so obvious he's tiring of her tone-deaf approach... and I predict there's serious trouble in store Every emotional moment from the Gilgo Beach killer's sentencing: Rex Heuermann's shocking first words... and the chilling exchange that silenced the room Tropical Storm Arthur has formed in the Gulf, becoming the first named storm of the 2026 Atlantic hurricane season. The National Hurricane Center (NHC) announced Wednesday morning that Arthur had strengthened into a tropical storm with maximum sustained winds of 40mph. The storm was located about 40 miles northeast of Port O'Connor, Texas, and about 190 miles west-southwest of Lake Charles, Louisiana .