Add RECAP arxiv link, ELI-Why HTML, ICLR slides; reorder PDF/HTML buttons; update Resume.pdf

Author: Keyu-He

_bibliography/papers.bib

@@ -9,7 +9,8 @@ @article{keyu2026recap
   journal={ACL Demo},
   abstract={Understanding how developers interact with AI coding assistants requires more than chat logs or git histories in isolation; it requires reconstructing the full context: which prompt led to which edit, what the developer tried and discarded, and how their strategy evolved over time. We present RECAP (Replay and Examine Captured AI Programming), an open-source platform that (1) passively records AI chat sessions and fine-grained code edits inside VS Code without disrupting the developer's workflow, (2) merges them into a unified timeline for interactive session replay, and (3) provides extensible analysis modules for behavioral classification and AI reliance measurement. Deployed in a university software engineering course, RECAP captured 2,034 prompts and 8,239 code edits from 41 students across a multi-week project. We demonstrate how the platform's linked data and replay capabilities enable analyses of developer-AI interaction patterns that no single data source could support.},
   selected={true},
-  pdf={Arxiv_ACL_Demo_Feb_2026_RECAP.pdf},
+  doi={10.48550/arXiv.2605.01104},
+  pdf={https://arxiv.org/pdf/2605.01104},
   preview={RECAP.png}
 }
 
@@ -36,6 +37,7 @@ @article{keyu2025explanations
   selected={true},
   doi={10.48550/arXiv.2506.14200},
   pdf={https://arxiv.org/pdf/2506.14200},
+  html={https://inklab.usc.edu/eli-why/},
   preview={Eli-Why.png}
 }
 
@@ -49,6 +51,7 @@ @article{huihan2024culture
   selected={true},
   doi={10.48550/arXiv.2412.20760},
   pdf={https://arxiv.org/pdf/2412.20760},
+  slides={https://iclr.cc/media/iclr-2025/Slides/29287.pdf},
   preview={MEMOed.png}
 }
 

_layouts/bib.liquid

@@ -201,20 +201,20 @@
       {% if entry.bibtex_show %}
         <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a>
       {% endif %}
-      {% if entry.html %}
-        {% if entry.html contains '://' %}
-          <a href="{{ entry.html }}" class="btn btn-sm z-depth-0" role="button">HTML</a>
-        {% else %}
-          <a href="{{ entry.html | prepend: '/assets/html/' | relative_url }}" class="btn btn-sm z-depth-0" role="button">HTML</a>
-        {% endif %}
-      {% endif %}
       {% if entry.pdf %}
         {% if entry.pdf contains '://' %}
           <a href="{{ entry.pdf }}" class="btn btn-sm z-depth-0" role="button">PDF</a>
         {% else %}
           <a href="{{ entry.pdf | prepend: '/assets/pdf/' | relative_url }}" class="btn btn-sm z-depth-0" role="button">PDF</a>
         {% endif %}
       {% endif %}
+      {% if entry.html %}
+        {% if entry.html contains '://' %}
+          <a href="{{ entry.html }}" class="btn btn-sm z-depth-0" role="button">HTML</a>
+        {% else %}
+          <a href="{{ entry.html | prepend: '/assets/html/' | relative_url }}" class="btn btn-sm z-depth-0" role="button">HTML</a>
+        {% endif %}
+      {% endif %}
       {% if entry.supp %}
         {% if entry.supp contains '://' %}
           <a href="{{ entry.supp }}" class="btn btn-sm z-depth-0" role="button">Supp</a>

assets/json/resume.json

@@ -60,7 +60,7 @@
       "publisher": "ACL 2026 Demo",
       "releaseDate": "2026-07",
       "summary": "RECAP captures AI chat and code edits in VS Code, merges them into replayable timelines, and provides analysis modules for studying developer-AI interaction patterns.",
-      "url": "../assets/pdf/Arxiv_ACL_Demo_Feb_2026_RECAP.pdf"
+      "url": "https://arxiv.org/pdf/2605.01104"
     },
     {
       "name": "Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations",