Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
The Parser Already Knows: Lightweight Bias Correction in Constrained Decoding
Published in arXiv preprint arXiv:2608.10137 [cs.CL], 2026
A method for correcting the distributional bias that token masking introduces in grammar-constrained decoding, by applying logit correction conditioned on the syntactic/lexical parser state and candidate next tokens, reusing state already computed during incremental parsing.
Recommended citation: Işıl Özgü, Yaoxuan Wu, Guy Van den Broeck, and Miryung Kim. 2026. "The Parser Already Knows: Lightweight Bias Correction in Constrained Decoding." arXiv preprint arXiv:2608.10137.
Download Paper
Accurate and Low-Cost Residual Risk Assessment via Sampled Profiling and Structure-Aware Coverage Amplification
Published in Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering (ASE '26), 2026
A risk assessment method for black-box fuzzing that replaces coverage instrumentation with hardware-enabled instruction pointer sampling and must-execute analysis, achieving 4.27x higher throughput while maintaining high accuracy.
Recommended citation: Seongmin Lee, Işıl Özgü, Marcel Böhme, and Miryung Kim. 2026. "Accurate and Low-Cost Residual Risk Assessment via Sampled Profiling and Structure-Aware Coverage Amplification." In Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering (ASE '26), October 12–16, 2026, Munich, Germany. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3832783.3837519
Download Paper
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.