publications

2024

1. Preprint

   Language Model Merging in Iterative Preference Learning

   Chenmien Tan, Simon Yu, and Shay B. Cohen

   2024
2. Arxiv

   Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement

   Simon Yu^*, Liangyu Chen^*, Sara Ahmadian, and Marzieh Fadaee

   2024

   PDF Code
3. EMNLP

   Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?

   Pinzhen Chen, Simon Yu, Zhicheng Guo, and Barry Haddow

   In The Conference on Empirical Methods in Natural Language Processing, 2024

   PDF Code
4. NAACL

   Fine-tuning Large Language Models with Sequential Instructions

   Hanxu Hu^*, Simon Yu^* , Pinzhen Chen^*, and Edoardo M. Ponti

   In The Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2024

   PDF Code
5. COLM

   Evaluating the Adversarial Robustness of Retrieval-Based In-Context Learning for Large Language Models

   Simon Yu, Jie He, Pasquale Minervini, and Jeff Z. Pan

   In Proceedings of the Conference on Language Modeling (COLM), 2024

   PDF Code

2023

1. EMNLP

   Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification

   Simon Yu^*, Jie He^*, Victor Basulto, and Jeff Z. Pan

   In The Conference on Empirical Methods in Natural Language Processing, 2023

   PDF Code
2. ACL

   BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering

   Jie He, Simon Yu, Victor Basulto, and Jeff Z. Pan

   In Annual Meeting of the Association for Computational Linguistics, 2023

   PDF