Yining Lu

Department of Computer Science and Engineering , University of Notre Dame

prof_pic.jpg

150K Fitzpatrick Hall

Notre Dame, IN 46556

Hi There 👋! My name is Yining Lu, a first-year CS PhD student at the University of Notre Dame, where I am working with Prof. Meng Jiang in DM2: Data Mining towards Decision Making lab. Previously, I worked at Johns Hopkins University Center for Language and Speech Processing advised by Prof. Daniel Khashabi.

My research interests are in natural language processing (NLP) and machine learning, with primary focus on the evaluation and interpretability of LLM on question-answering and reasoning tasks. To this end, I am currently working on research topics:

  • Explainable and Trustworthy QA: How to better evaluate and generate high-quality rationales for different QA tasks?

  • Decomposition and Verification: What is an optimal decomposition and verification strategy in building an interpretable, logical, and trustworthy reasoning system?

If you are interested in collaborating on these or similar ideas, feel free to drop me an email: ylu33 [at] nd.edu.

news

Oct 02, 2024 RATIONALYST: Pre-training Process-Supervision for Improving Reasoning was released on arXiv!
Sep 29, 2024 ANALOBENCH: Benchmarking the Identification of Abstract and Long-context Analogies was accepted by EMNLP 2024 main!
Jul 12, 2024 Benchmarking Language Model Creativity: A Case Study on Code Generation was released on arXiv!
May 20, 2024 RORA: Robust Free-Text Rationale Evaluation was accepted by ACL 2024 main! See you in Bangkok!
Apr 16, 2024 I will start my PhD journey at the University of Notre Dame, proudly working with Prof. Meng Jiang!

selected publications

  1. preprint
    Benchmarking Language Model Creativity: A Case Study on Code Generation
    Yining Lu, Dixuan Wang, Tianjian Li, Dongwei Jiang, and 1 more author
    2024
  2. ACL
    RORA: Robust Free-Text Rationale Evaluation
    Zhengping Jiang*Yining Lu*, Hanjie Chen, Daniel Khashabi, and 2 more authors
    In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
  3. EACL
    GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution
    Yining Lu*, Haoping Yu*, and Daniel Khashabi
    In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024