<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Supervised COT | Web IR NLP Group @ NUS</title><link>https://www.comp.nus.edu.sg/~kanmy/wing/tag/supervised-cot/</link><atom:link href="https://www.comp.nus.edu.sg/~kanmy/wing/tag/supervised-cot/index.xml" rel="self" type="application/rss+xml"/><description>Supervised COT</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://www.comp.nus.edu.sg/~kanmy/wing/media/icon_hub1b49484bccf4f586453e7d2a784a896_225489_512x512_fill_lanczos_center_3.png</url><title>Supervised COT</title><link>https://www.comp.nus.edu.sg/~kanmy/wing/tag/supervised-cot/</link></image><item><title>M^3Check: A Demonstration System for Multilingual Multi-clue Multi-Hop Fact-Checking</title><link>https://www.comp.nus.edu.sg/~kanmy/wing/project/m3check/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://www.comp.nus.edu.sg/~kanmy/wing/project/m3check/</guid><description>&lt;p>Imagine that, while we cannot simply Google a complex claim, we can still find some relevant clues to help us. The question is, how can we use these clues to verify the input claim? M^3Check is a RAG model that follows three major steps: 1) break down the claim into clues, 2) verify each clue based on articles, and 3) conclude, check, and reason the claim based on a structured, supervised, and verified chain of clues. This project leverages findings from multiple projects, offering a good example of how research outcomes can be applied to address a real-world problem.&lt;/p></description></item></channel></rss>