beSpacific<p>CodeIPPrompt: <a href="https://newsie.social/tags/IntellectualPropertyInfringemet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IntellectualPropertyInfringemet</span></a> Assessment of <a href="https://newsie.social/tags/Code" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Code</span></a> <a href="https://newsie.social/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LanguageModels</span></a> In this paper, we aim to bridge the gap by presenting <a href="https://newsie.social/tags/CodeIPPrompt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CodeIPPrompt</span></a>, a platform for automatic evaluation of the extent to which code language models may reproduce licensed programs <a href="https://sites.google.com/view/codeipprompt" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">sites.google.com/view/codeippr</span><span class="invisible">ompt</span></a> <a href="https://newsie.social/tags/IP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IP</span></a> <a href="https://newsie.social/tags/legalresearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>legalresearch</span></a> <a href="https://newsie.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://newsie.social/tags/IP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IP</span></a> <a href="https://newsie.social/tags/violations" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>violations</span></a> <a href="https://newsie.social/tags/trainingcorpus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>trainingcorpus</span></a></p>