Publications
Liu, M., & Zhai, C. (2026). An Axiomatic Benchmark for Evaluation of Scientific Novelty Metrics. arXiv preprint arXiv:2604.15145.
Lu, L.-C., Liu, M., Lu, P.-C., Tian, Y., Sun, S.-H., & Peng, N., Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evaluations, European Chapter of the Association for Computational Linguistics (EACL), 2026.
Tian, Y., Huang, T., Liu, M., Jiang, D., Spangher, A., Chen, M., May, J., & Peng, N., Are Large Language Models Capable of Generating Human-Level Narratives?, Empirical Methods in Natural Language Processing (EMNLP), 2024. (Outstanding Paper Award, Oral Presentation)
Lazar, A., et al. (including Liu, E.), Accelerating the Inference of the Exa.TrkX Pipeline, International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT), 2021.
Acharya, N.*, Liu, E.*, Lucas, A.*, & Lazar, A., Optimizing the Exa.TrkX Inference Pipeline for Manycore CPUs, Connecting The Dots Workshop, 2022.
*Equal contribution
Note: Liu, E. and Liu, M. both refer to the fellow.
Awards
Amazon AI PhD Fellowship, 2025--2027
Outstanding Paper Award, EMNLP 2024 (Top 2.5% of accepted papers)
Upsilon Pi Epsilon International Honor Society
UCLA Dean's List, 2021-2024