<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>J.-L. Li | Po-Chung (Bryan) Hsieh</title><link>https://pchsieh.com/authors/j.-l.-li/</link><atom:link href="https://pchsieh.com/authors/j.-l.-li/index.xml" rel="self" type="application/rss+xml"/><description>J.-L. Li</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 21 Mar 2026 00:00:00 +0000</lastBuildDate><item><title>The Binding Effect: Analyzing How Multi-Dimensional Cues Form Gender Bias in Instruction TTS</title><link>https://pchsieh.com/publications/binding-effect-gender-bias-instruction-tts/</link><pubDate>Sat, 21 Mar 2026 00:00:00 +0000</pubDate><guid>https://pchsieh.com/publications/binding-effect-gender-bias-instruction-tts/</guid><description>&lt;p&gt;This paper analyzes how multi-dimensional cues in natural-language instructions bind together to form gender bias in instruction-following text-to-speech (TTS) systems.&lt;/p&gt;
&lt;p&gt;Accepted to &lt;strong&gt;INTERSPEECH 2026&lt;/strong&gt;.&lt;/p&gt;</description></item><item><title>Dual-Process Scaffold Reasoning for Enhancing LLM Code Debugging</title><link>https://pchsieh.com/publications/dual-process-scaffold-reasoning-llm-code-debugging/</link><pubDate>Tue, 11 Nov 2025 00:00:00 +0000</pubDate><guid>https://pchsieh.com/publications/dual-process-scaffold-reasoning-llm-code-debugging/</guid><description>&lt;p&gt;This paper proposes a dual-process scaffold reasoning framework for large language model (LLM) code debugging. It reaches an &lt;strong&gt;88.91% pass rate on DebugBench&lt;/strong&gt;, outperforming prior prompting methods.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;My role:&lt;/strong&gt; first author. This work was done during my LLM engineer internship at the Inventec Artificial Intelligence Center.&lt;/p&gt;</description></item></channel></rss>