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	<title>WG211/M24Amin - Revision history</title>
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	<updated>2026-06-12T06:17:15Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>http://mw.hh.se/wg211/index.php?title=WG211/M24Amin&amp;diff=2743&amp;oldid=prev</id>
		<title>Nada: abstract</title>
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		<updated>2024-12-25T13:32:26Z</updated>

		<summary type="html">&lt;p&gt;abstract&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Extrapolating from my old [https://pl-ai-seminar.seas.harvard.edu/ 2020 PL+AI graduate seminar],&lt;br /&gt;
LLMs are good at:&lt;br /&gt;
* Neural-Guided Search&lt;br /&gt;
* Semantic Parsing: translating from natural language to formal language.&lt;br /&gt;
&lt;br /&gt;
I showed experiments:&lt;br /&gt;
* 0. [https://metareflection.seas.harvard.edu/openai/ ChatGPT with formal tools]&lt;br /&gt;
* 1. [https://github.com/namin/llm-verified-with-monte-carlo-tree-search VerMCTS]&lt;br /&gt;
* 2. [https://github.com/metareflection/dafny-annotator Dafny-annotator] led by Gabriel Poesia at Stanford&lt;br /&gt;
* 3. [https://github.com/namin/dafny-sketcher Dafny Sketcher]&lt;br /&gt;
&lt;br /&gt;
I am co-chairing [https://2025.ecoop.org/home/gpce-2025 GPCE 2025], and we will expand the scope of &amp;quot;generative&amp;quot; programming.&lt;/div&gt;</summary>
		<author><name>Nada</name></author>
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