Publications

Liliang Ren, Congcong Chen, Haoran Xu, Young Jin Kim, Adam Atkinson, Zheng Zhan, Jiankai Sun, Baolin Peng, Liyuan Liu, Shuohang Wang, Hao Cheng, Jianfeng Gao, Weizhu Chen, Yelong Shen (2025). Decoder-hybrid-decoder architecture for efficient reasoning with long generation. NeurIPS 2025.

Haoran Xu, Baolin Peng, Hany Awadalla, Dongdong Chen, Yen-Chun Chen, Mei Gao, Young Jin Kim, Yunsheng Li, Liliang Ren, Yelong Shen, Shuohang Wang, Weijian Xu, Jianfeng Gao, Weizhu Chen (2025). Phi-4-mini-reasoning: Exploring the limits of small reasoning language models in math. Preprint.

Haoran Xu, Kenton Murray, Philipp Koehn, Hieu Hoang, Akiko Eriguchi, Huda Khayrallah (2024). X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale. ICLR 2025 (Spotlight).

PDF Code Dataset

Tianjian Li, Haoran Xu, Weiting Tan, Dongwei Jiang, Kenton Murray, Daniel Khashabi (2024). Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets. NAACL 2024.

Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim (2024). Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. ICML 2024.

PDF Code Dataset Slides

Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla (2023). A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models. ICLR 2024.

PDF Code Dataset Slides Video

Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray (2023). Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models. ICLR 2024.

Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray (2023). Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. EMNLP 2023.

Haoran Xu, Maha Elbayad, Kenton Murray, Jean Maillard, Vedanuj Goswami (2023). Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity. Findings of EMNLP 2023.

Haoran Xu, Jean Maillard, Vedanuj Goswami (2023). Language-Aware Multilingual Machine Translation with Self-Supervised Learning. Findings of EACL 2023.

Haoran Xu, Philipp Koehn, Kenton Murray (2022). The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains. EMNLP 2022.

PDF Code Slides

Haoran Xu, Kenton Murray (2022). Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer. Findings of NAACL 2022.

PDF Code Poster

Haoran Xu, Benjamin Van Durme, Kenton Murray (2021). BERT, mBERT, BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation. EMNLP 2021.

PDF Code Slides Video

Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme (2021). Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. EMNLP 2021.

Haoran Xu, Sixing Lu, Zhongkai Sun, Chengyuan Ma, Chenlei Guo (2021). VAE based Text Style Transfer with Pivot Words Enhancement Learning. The Eighteenth International Conference on Natural Language Processing, 2021.

PDF Code Slides

Haoran Xu, Seth Ebner, Mahsa Yarmohammadi, Aaron White, Benjamin Van Durme, Kenton Murray (2021). Gradual Fine-Tuning for Low-Resource Domain Adaptation. Adapt-NLP， EACL 2021.

PDF Code Slides

Haoran Xu, Philipp Koehn (2021). Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation. Adapt-NLP， EACL 2021.

PDF Code Slides

Haoran Xu, Philipp Koehn (2021). Cross-Lingual BERT Contextual Embedding Space Mapping with Isotropic and Isometric Conditions. Preprint.

Haoran Xu, Shahin Khobahi, Mojtaba Soltanalian (2019). Efficient Quadratic Programming for Peak-to-Average Power Ratio Reduction in Communication Systems. Preprint.