<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Evaluation on Neeladri Bhuiya</title><link>https://zawedcvg.github.io/tags/evaluation/</link><description>Recent content in Evaluation on Neeladri Bhuiya</description><generator>Hugo -- 0.152.0</generator><language>en</language><lastBuildDate>Tue, 12 Nov 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://zawedcvg.github.io/tags/evaluation/index.xml" rel="self" type="application/rss+xml"/><item><title>Seemingly Plausible Distractors</title><link>https://zawedcvg.github.io/papers/paper1/</link><pubDate>Tue, 12 Nov 2024 00:00:00 +0000</pubDate><guid>https://zawedcvg.github.io/papers/paper1/</guid><description>This paper shows that LLMs struggle with challenging multi-hop reasoning, but in more subtle ways than fine-tuned models</description></item></channel></rss>