<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Evaluation |</title><link>https://yzm1205.github.io/tags/evaluation/</link><atom:link href="https://yzm1205.github.io/tags/evaluation/index.xml" rel="self" type="application/rss+xml"/><description>Evaluation</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 Nov 2024 00:00:00 +0000</lastBuildDate><image><url>https://yzm1205.github.io/media/icon_hu_1c0e9cb08cfb822a.png</url><title>Evaluation</title><link>https://yzm1205.github.io/tags/evaluation/</link></image><item><title>ALIGN-SIM Resources</title><link>https://yzm1205.github.io/projects/align-sim/</link><pubDate>Fri, 01 Nov 2024 00:00:00 +0000</pubDate><guid>https://yzm1205.github.io/projects/align-sim/</guid><description>&lt;p&gt;&lt;strong&gt;Auburn University&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Released software and data for task-free evaluation of sentence embeddings using five semantic
similarity alignment criteria.&lt;/li&gt;
&lt;li&gt;Evaluated 13 classical and LLM-induced encoders and demonstrated that strong downstream benchmark
performance can coexist with failures on intuitive semantic alignment tests.&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>ALIGN-SIM: A Task-Free Test Bed for Evaluating and Interpreting Sentence Embeddings through Semantic Similarity Alignment</title><link>https://yzm1205.github.io/publications/align-sim/</link><pubDate>Fri, 01 Nov 2024 00:00:00 +0000</pubDate><guid>https://yzm1205.github.io/publications/align-sim/</guid><description/></item></channel></rss>