Hanxu Hu

According to our database, Hanxu Hu authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DeReason: A Difficulty-Aware Curriculum Improves Decoupled SFT-then-RL Training for General Reasoning.

Hanxu Hu, Yuxuan Wang, Maggie Huan, Jannis Vamvas, Yinya Huang, Zhijiang Guo, Rico Sennrich

CoRR, March, 2026

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models.

Xiao Zhu, Xinyu Zhou, Boyu Zhu, Hanxu Hu, Mingzhe Du, Haotian Zhang, Huiming Wang, Zhijiang Guo

CoRR, February, 2026

2025

QueST: Incentivizing LLMs to Generate Difficult Problems.

Hanxu Hu, Xingxing Zhang, Jannis Vamvas, Rico Sennrich, Furu Wei

CoRR, October, 2025

CHARM: Calibrating Reward Models With Chatbot Arena Scores.

Xiao Zhu, Chenmien Tan, Pinzhen Chen, Rico Sennrich, Yanlin Zhang, Hanxu Hu

CoRR, April, 2025

Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning.

Wenhao Zhu, Pinzhen Chen, Hanxu Hu, Shujian Huang, Fei Yuan, Jiajun Chen, Alexandra Birch

CoRR, February, 2025

Fine-Tuning Large Language Models with Sequential Instructions.

Hanxu Hu, Simon Yu, Pinzhen Chen, Edoardo M. Ponti

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models.

Xu Huang, Wenhao Zhu, Hanxu Hu, Conghui He, Lei Li, Shujian Huang, Fei Yuan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Source-primed Multi-turn Conversation Helps Large Language Models Translate Documents.

Hanxu Hu, Jannis Vamvas, Rico Sennrich

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

LNE-Blocking: An Efficient Framework for Contamination Mitigation Evaluation on Large Language Models.

Ruijie Hou, Jiao Yueyang, Hanxu Hu, Yingming Li, Wai Lam, Huajian Zhang, Hongyuan Lu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Fine-tuning Large Language Models with Sequential Instructions.

Hanxu Hu, Pinzhen Chen, Edoardo M. Ponti

CoRR, 2024

CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models.

Wenhong Zhu, Hongkun Hao, Zhiwei He, Yunze Song, Jiao Yueyang, Yumeng Zhang, Hanxu Hu, Yiran Wei, Rui Wang, Hongyuan Lu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models.

Wenhong Zhu, Hongkun Hao, Zhiwei He, Yunze Song, Yumeng Zhang, Hanxu Hu, Yiran Wei, Rui Wang, Hongyuan Lu

CoRR, 2023

Meta-Learning For Vision-and-Language Cross-lingual Transfer.

Hanxu Hu, Frank Keller

CoRR, 2023

Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models.

Hanxu Hu, Hongyuan Lu, Huajian Zhang, Wai Lam, Yue Zhang

CoRR, 2023

Improving User Controlled Table-To-Text Generation Robustness.

Hanxu Hu, Yunqing Liu, Zhongyi Yu, Laura Perez-Beltrachini

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

A Channel Mix Method for Fine-Grained Cross-Modal Retrieval.

Yang Shen, Xuhao Sun, Xiu-Shen Wei, Hanxu Hu, Zhipeng Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022