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publications

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

Published in MICCAI 2025 Workshop MSB EMERGE, 2025

Published in MICCAI 2025 Workshop MSB EMERGE. Runner-up Best Paper Award.

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

Published in Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Published in Findings of EMNLP 2025.

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

Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2026

Published in Proceedings of AAAI 2026 (open access).

Recommended citation: 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
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teaching

CS 2800 Mathematical Foundations of Computing (Discrete Mathematics)

Teaching Assistant, Cornell University, Computer Science Department, 2025

Teaching Assistant for CS 2800 Mathematical Foundations of Computing (Discrete Mathematics) (Spring 2025). Duties include: Lead discussion sections, grade homework and exams, hold office hours, and assist with course-related questions.

CS 4820 Introduction to Analysis of Algorithms

Teaching Assistant, Cornell University, Computer Science Department, 2025

Teaching Assistant for CS 4820 Introduction to Analysis of Algorithms (Fall 2025). Duties include: 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.