1.0LVLM Multi-image VQA Dehallucinationhttps://mscvprojects.ri.cmu.edu/2025team15rich600338<blockquote class="wp-embedded-content" data-secret="uSonYxFbMF"><a href="https://mscvprojects.ri.cmu.edu/2025team15/multi-image-hallucination/">Multi-image Hallucination</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://mscvprojects.ri.cmu.edu/2025team15/multi-image-hallucination/embed/#?secret=uSonYxFbMF" width="600" height="338" title="“Multi-image Hallucination” — LVLM Multi-image VQA Dehallucination" data-secret="uSonYxFbMF" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://mscvprojects.ri.cmu.edu/2025team15/wp-includes/js/wp-embed.min.js </script> Hallucination means LLM or LVLM generates content that is inconsistent with fact, where facts come from provided images, language prompts, or existing knowledge bases. For instance, if we let an LVLM like InternVL-2.5-8B describe this jersey in detail, it gives a very accurate response, including color, number, and text. However, suppose we put this image … Continue reading ""https://lh7-rt.googleusercontent.com/slidesz/AGV_vUeJTOwvlD_vuLo6z_e28aAsDr5_NQ6vW7qYC-F0-0T7NbD77XYMCS-A0zSUm4TgEKpYtznRhXyi-pBDWJmnv-z85V0d9Bv0Qp--f2P1umJqu-wlyOM02p11Y3yuF7XzbhKtfD8OOg=s2048?key=MhxsOoUwM9UCIcXKZDmfhW2h