Updates to the website

Author: Keyu-He

_pages/about.md

@@ -18,9 +18,9 @@ selected_papers: true # includes a list of papers marked as "selected={true}"
 social: true # includes social icons at the bottom of the page
 ---
 
-Hi! I’m Keyu He, a Master of Intelligent Information Systems ([MIIS](https://miis.cs.cmu.edu/)) student at Carnegie Mellon University ([CMU](https://www.cmu.edu/)). Previously, I earned my B.S. from the University of Southern California ([USC](https://www.usc.edu/)), where I double‑majored in **Computer Science** and **Applied & Computational Mathematics** and minored in **Artificial Intelligence Applications**.
+Hi! I'm Keyu He, a **Master's in NLP** @ [Carnegie Mellon University](https://www.cmu.edu/) [SCS](https://www.cs.cmu.edu/). Previously, I earned my B.S. from the [University of Southern California](https://www.usc.edu/), where I double‑majored in **Computer Science** and **Applied & Computational Mathematics** and minored in **Artificial Intelligence Applications**.
 
-Passionate about AI systems that can meaningfully interact with humans and enhance learning experiences. At CMU, I'm collaborating with PhD students [Qianou Ma](https://qianouma.com/en/about.html) and [Xuhui Zhou](https://xuhuiz.com/) on research in **socially intelligent AI and AI applications in education**. Previously at USC, I conducted NLP research as a member of the [INK Lab](https://inklab.usc.edu/) and [DILL Lab](https://dill-lab.github.io/), under the guidance of Professors [Xiang Ren](https://www.seanre.com/) and [Swabha Swayamdipta](https://swabhs.com/), with mentorship from [Brihi Joshi](https://brihijoshi.github.io/) and [Tejas Srinivasan](https://tejas1995.github.io/).
+Passionate about AI systems that can meaningfully interact with humans and enhance learning experiences. At CMU, I'm researching **human-centered AI evaluation** with Professor [Sherry Tongshuang Wu](https://www.cs.cmu.edu/~sherryw/) and [Qianou Ma](https://qianouma.com/en/about.html), and **socially intelligent AI** with Professor [Maarten Sap](https://maartensap.com/) and [Xuhui Zhou](https://xuhuiz.com/). Previously at USC, I conducted NLP research in the [INK Lab](https://inklab.usc.edu/) and [DILL Lab](https://dill-lab.github.io/) under Professors [Xiang Ren](https://www.seanre.com/) and [Swabha Swayamdipta](https://swabhs.com/), mentored by [Brihi Joshi](https://brihijoshi.github.io/) and [Tejas Srinivasan](https://tejas1995.github.io/).
 
 ### Academic Achievements & Honors
 
@@ -34,7 +34,7 @@ Passionate about AI systems that can meaningfully interact with humans and enhan
 ### Current Research
 
 - **Socially Intelligent AI**: Developing methods to find and generate datasets of AI social scenarios with verifiable rewards, then applying reinforcement learning to train models that improve their social interaction abilities.
-- **AI for Education**: Creating AI-powered tools and assessment methods to evaluate users' prompt engineering skills and proficiency in "vibe programming" with large language models.
+- **Human-Centered AI Evaluation**: Creating AI-powered tools and assessment methods to evaluate users' prompt engineering skills and proficiency in "vibe programming" with large language models.
 
 ### Beyond Research
 

assets/json/resume.json

@@ -1,12 +1,12 @@
 {
   "basics": {
     "name": "Keyu He",
-    "label": "MIIS Graduate Student, NLP Researcher",
+    "label": "Master in NLP@CMU SCS || NLP Researcher",
     "image": "keyu.jpg",
     "email": "keyuhe@cmu.edu",
     "phone": "(213) 713-2973",
     "url": "https://keyu-he.github.io/",
-    "summary": "Master of Intelligent Information Systems (MIIS) student at Carnegie Mellon University. Previously earned B.S. from USC with double major in Computer Science and Applied & Computational Mathematics. Passionate about socially intelligent AI systems, AI applications in education, and cross-disciplinary AI research.",
+    "summary": "Master of Intelligent Information Systems (MIIS) student at Carnegie Mellon University. Previously earned B.S. from USC with double major in Computer Science and Applied & Computational Mathematics. Passionate about socially intelligent AI systems and human-centered AI evaluation.",
     "location": {
       "city": "Pittsburgh",
       "region": "Pennsylvania",
@@ -24,7 +24,11 @@
       "startDate": "2025-08-01",
       "endDate": "2027-05-01",
       "score": "",
-      "summary": "Graduate program focusing on intelligent information systems, NLP research, and AI systems. Conducting research on explainable AI and socially intelligible AI."
+      "summary": "Graduate program focusing on intelligent information systems, NLP research, and AI systems. Conducting research on explainable AI and socially intelligible AI.",
+      "courses": ["Advanced Natural Language Processing (Grade TBD)", 
+        "Introduction to Question Answering (Grade TBD)",
+        "Independent Study in Language Technologies (Grade TBD)",
+        "Directed Study in Language Technologies (Grade TBD)"] 
     },
     {
       "institution": "University of Southern California",
@@ -54,6 +58,13 @@
     }
   ],
   "publications": [
+    {
+      "name": "Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations",
+      "author": "Keyu He, Tejas Srinivasan, Brihi Joshi, Xiang Ren, Jesse Thomason, Swabha Swayamdipta",
+      "publisher": "Submitted to NeurIPS 2025",
+      "releaseDate": "2025-05",
+      "summary": "We introduce Visual Fidelity and Contrastiveness -- two explanation quality scores that help users more appropriately rely on vision-language model predictions without seeing the image."
+    },
     {
       "name": "ELI-Why: Evaluating the Pedagogical Utility of LLM Explanations",
       "author": "Brihi Joshi*, <b>Keyu He*</b>, Sahana Ramnath, Sadra Sabouri, Kaitlyn Zhou, Souti Chattopadhyay, Swabha Swayamdipta, Xiang Ren",
@@ -62,13 +73,6 @@
       "summary": "Evaluate the pedagogical utility of LLMs in tailoring explanations to users with different educational backgrounds.",
       "url": "../assets/pdf/ELI_Why_Evaluating_the_Pe.pdf"
     },
-    {
-      "name": "Beyond the Text: How Explanation Qualities Influence User Trust in Visual Language Models",
-      "author": "Keyu He, Tejas Srinivasan, Brihi Joshi, Xiang Ren, Jesse Thomason, Swabha Swayamdipta",
-      "publisher": "Submitted to NeurIPS 2025",
-      "releaseDate": "2025-02",
-      "summary": "We introduce Visual Fidelity and Contrastiveness -- two explanation quality scores that help users more appropriately rely on vision-language model predictions without seeing the image."
-    },
     {
       "name": "Attributing Culture-Conditioned Generations to Pretraining Corpora",
       "author": "Huihan Li*, Arnav Goel*, Keyu He, Xiang Ren",
@@ -132,12 +136,17 @@
     {
       "name": "Programming",
       "level": "",
-      "keywords": ["C++", "Python", "Java", "MySQL", "HTML", "CSS", "JS"]
+      "keywords": ["C++", "Python", "Java", "MySQL", "HTML", "CSS", "JS", "x86-64 Assembly"]
     },
     {
       "name": "Software",
       "level": "",
-      "keywords": ["LaTeX", "Mathematica", "Matlab"]
+      "keywords": ["PyTorch", "Pandas", "NumPy", "Git", "AWS", "LaTeX", "Mathematica", "Matlab"]
+    },
+    {
+      "name": "Areas of Expertise",
+      "level": "",
+      "keywords": ["Machine Learning", "Natural Language Processing (NLP)", "Large Language Models (LLMs)", "Data Science / Data Engineering"]
     },
     {
       "name": "Languages",