CV

Education

• B.S. in Computer Science, Minor: Mathematics, Cornell University, College of Engineering, May 2027 (expected)
  • Relevant coursework: data structures, algorithms, operating systems, computer systems, machine learning, natural language processing, quantum computing, probability and statistics, multivariable calculus, linear algebra, differential equations, logic, cognitive science, linguistics, language and thought.

Awards and Honors

• Hunter R. Rawlings III Cornell Presidential Research Scholar Award
• Clare Booth Luce (CBL) Undergraduate Research Award
• Received a $7,000 stipend through the Bowers Undergraduate Research Experience (BURE) scholarship program and continued to be supported by BURE academic year expansion program
• Platinum division, Achieved Full Score in USA Computing Olympiad (USACO) 2023 January Gold Contest
• USA Mathematical Olympiad Qualifier (USAMO)

Research Experience

• Undergraduate Researcher, Cornell University, Computer Science Department, Natural Language Processing Group
  • Analyzing Verbalized Uncertainty and Factuality in Reasoning-based LLMs (2025 – present)
    • Supervised by Professor Tanya Goyal; collaborating with Anirudh Atmakuru
    • Serve as project lead: design a multi-step pipeline to analyze verbalized uncertainty in LLM thinking traces, implement data processing and FactScore-based factuality evaluation, run large-scale experiments across multiple reasoning models, and train/analyze lightweight classifiers for uncertainty and factuality prediction
    • Published in Proceedings of AAAI 2026 (AAAI-40), Singapore, 2026
  • Revisiting Meta-Evaluation Standards of LLM Evaluators (2025)
    • Supervised by Professor Tanya Goyal, in collaboration with Professor Liu Leqi (UT Austin) and Vedant Gaur (University of Pennsylvania)
    • Co-led the project developing fine-grained meta-evaluation methods to audit automatic benchmarks for large language models
    • Published in Findings of EMNLP 2025
  • Content and Style Evaluation in NLG Systems (2024)
    • Supervised by Professor Tanya Goyal and Professor Claire Cardie
    • Served as a core student researcher designing and running experiments to evaluate content and style separately in NLG systems
• Undergraduate Research Assistant, Tsinghua University, Pervasive Human-Computer Interaction Lab
  • Intelligent AI Tool Benchmarking and Orchestration Platform (2025 – present)
    • Supervised by Primary Mentor Yingtian Shi (Georgia Tech) and Professor Chun Yu (Tsinghua University)
    • Designing and implementing the back-end tool matching and execution module for an intelligent AI tool platform
  • NFCMTL: Auto NailFold Capillaroscopy through a Multi-Task Learning Model (2025)
    • Supervised by Primary Mentor Yingke Ding, Associate Researcher Yuntao Wang, and Professor Yuanchun Shi
    • Proposed the first multi-task learning framework for nailfold capillaroscopy
    • Published in MICCAI 2025 Workshop MSB EMERGE (Runner-up Best Paper)
• Undergraduate Research Assistant, Cornell University, Information Science Department (2024)
  • Supervised by Primary Mentor Keigo Kusumegi and Professor Yian Yin
  • Explored the impact of diverse collaboration on Wikipedia content

Publications

Can You Trust What I Think? Analyzing and Improving Verbalized Uncertainty and Factuality in Reasoning-Based Large Language Models

Xu, Tianruo Rose. (2026). Can You Trust What I Think? Analyzing and Improving Verbalized Uncertainty and Factuality in Reasoning-Based Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence, 40(48), 41534-41536. https://doi.org/10.1609/aaai.v40i48.42331

The Progress Illusion: Revisiting Meta-Evaluation Standards of LLM Evaluators

Tianruo Rose Xu, Vedant Gaur, Liu Leqi, Tanya Goyal. The Progress Illusion: Revisiting Meta-Evaluation Standards of LLM Evaluators. Findings of the Association for Computational Linguistics: EMNLP 2025, Suzhou, China, November 2025.

NFCMTL: Auto NailFold Capillaroscopy through a Multi-Task Learning Model

Yingke Ding, Jiankai Tang, Wanying Mo, Tianruo Rose Xu, Yuanchun Shi, Yuntao Wang. NFCMTL: Auto NailFold Capillaroscopy through a Multi-Task Learning Model. MICCAI 2025 Workshop MSB EMERGE, July 21, 2025.

Elder Depression Detection by Multimodal Means

Tianruo Xu. Elder Depression Detection by Multimodal Means. BCP Education & Psychology, November 7, 2022.

Teaching

CS 3780 Introduction to Machine Learning

CS 4820 Introduction to Analysis of Algorithms

CS 2800 Mathematical Foundations of Computing (Discrete Mathematics)

Teaching Experience

• Teaching Assistant, CS 4820 Introduction to Analysis of Algorithms, Cornell University (Fall 2025)
  • Participate in weekly grading sessions and staff meetings, hold office hours, answer student questions on Ed Discussion, grade homework problems, assist with exam proctoring, and contribute to review sessions and exam proofreading
• Teaching Assistant, CS 2800 Mathematical Foundations of Computing (Discrete Mathematics), Cornell University (Spring 2025)
  • Lead discussion sections, grade homework and exams, hold office hours, and assist with course-related questions