Xuefeng Bai

According to our database, Xuefeng Bai authored at least 45 papers between 2018 and 2025.

Collaborative distances:

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

2025

HITSZ's End-To-End Speech Translation Systems Combining Sequence-to-Sequence Auto Speech Recognition Model and Indic Large Language Model for IWSLT 2025 in Indic Track.

Xuchen Wei, Yangxin Wu, Yaoyin Zhang, Henglyu Liu, Kehai Chen, Xuefeng Bai, Min Zhang

CoRR, July, 2025

The Hidden Link Between RLHF and Contrastive Learning.

Xufei Lv, Haoyuan Sun, Xuefeng Bai, Min Zhang, Houde Liu, Kehai Chen

CoRR, June, 2025

Evaluating and Steering Modality Preferences in Multimodal Large Language Model.

Yu Zhang, Jinlong Ma, Yongshuai Hou, Xuefeng Bai, Kehai Chen, Yang Xiang, Jun Yu, Min Zhang

CoRR, May, 2025

Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin.

Yuchen Wang, Xuefeng Bai, Xiucheng Li, Weili Guan, Liqiang Nie, Xinyang Chen

CoRR, May, 2025

MoK-RAG: Mixture of Knowledge Paths Enhanced Retrieval-Augmented Generation for Embodied AI Environments.

Zhengsheng Guo, Linwei Zheng, Xinyang Chen, Xuefeng Bai, Kehai Chen, Min Zhang

CoRR, March, 2025

Adaptive Inner Speech-Text Alignment for LLM-based Speech Translation.

Henglyu Liu, Andong Chen, Kehai Chen, Xuefeng Bai, Meizhi Zhong, Yuan Qiu, Min Zhang

CoRR, March, 2025

Representation-based Reward Modeling for Efficient Safety Alignment of Large Language Model.

Qiyuan Deng, Xuefeng Bai, Kehai Chen, Yaowei Wang, Liqiang Nie, Min Zhang

CoRR, March, 2025

XIFBench: Evaluating Large Language Models on Multilingual Instruction Following.

Zhenyu Li, Kehai Chen, Yunfei Long, Xuefeng Bai, Yaoyin Zhang, Xuchen Wei, Juntao Li, Min Zhang

CoRR, March, 2025

Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent.

Xingzuo Li, Kehai Chen, Yunfei Long, Xuefeng Bai, Yong Xu, Min Zhang

CoRR, March, 2025

The Power of Personality: A Human Simulation Perspective to Investigate Large Language Model Agents.

Yifan Duan, Yihong Tang, Xuefeng Bai, Kehai Chen, Juntao Li, Min Zhang

CoRR, February, 2025

ASurvey: Spatiotemporal Consistency in Video Generation.

Zhiyu Yin, Kehai Chen, Xuefeng Bai, Ruili Jiang, Juntao Li, Hongdong Li, Jin Liu, Yang Xiang, Jun Yu, Min Zhang

CoRR, February, 2025

Exploring Translation Mechanism of Large Language Models.

Hongbin Zhang, Kehai Chen, Xuefeng Bai, Xiucheng Li, Yang Xiang, Min Zhang

CoRR, February, 2025

TF-Attack: Transferable and fast adversarial attacks on large language models.

Zelin Li, Kehai Chen, Lemao Liu, Xuefeng Bai, Mingming Yang, Yang Xiang, Min Zhang

Knowl. Based Syst., 2025

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning.

Yingjie Zhu, Xuefeng Bai, Kehai Chen, Yang Xiang, Jun Yu, Min Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

The Rise of Darkness: Safety-Utility Trade-Offs in Role-Playing Dialogue Agents.

Yihong Tang, Kehai Chen, Xuefeng Bai, Zheng-Yu Niu, Bo Wang, Jie Liu, Min Zhang

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

Efficient Safety Alignment of Large Language Models via Preference Re-ranking and Representation-based Reward Modeling.

Qiyuan Deng, Xuefeng Bai, Kehai Chen, Yaowei Wang, Liqiang Nie, Min Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation.

Andong Chen, Yuchen Song, Kehai Chen, Xuefeng Bai, Muyun Yang, Liqiang Nie, Jie Liu, Tiejun Zhao, Min Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLM-based Translation Inference with Iterative Bilingual Understanding.

Andong Chen, Kehai Chen, Yang Xiang, Xuefeng Bai, Muyun Yang, Yang Feng, Tiejun Zhao, Min Zhang

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

2024

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning.

Yingjie Zhu, Xuefeng Bai, Kehai Chen, Yang Xiang, Min Zhang

CoRR, 2024

LLM-based Discriminative Reasoning for Knowledge Graph Question Answering.

Mufan Xu, Kehai Chen, Xuefeng Bai, Muyun Yang, Tiejun Zhao, Min Zhang

CoRR, 2024

LinguaLIFT: An Effective Two-stage Instruction Tuning Framework for Low-Resource Language Tasks.

Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang, Min Zhang

CoRR, 2024

LLM-based Translation Inference with Iterative Bilingual Understanding.

Andong Chen, Kehai Chen, Yang Xiang, Xuefeng Bai, Muyun Yang, Tiejun Zhao, Min Zhang

CoRR, 2024

Benchmarking LLMs for Translating Classical Chinese Poetry:Evaluating Adequacy, Fluency, and Elegance.

Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang

CoRR, 2024

See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses.

Yulong Chen, Yang Liu, Jianhao Yan, Xuefeng Bai, Ming Zhong, Yinghao Yang, Ziyi Yang, Chenguang Zhu, Yue Zhang

CoRR, 2024

A Survey on Human Preference Learning for Large Language Models.

Ruili Jiang, Kehai Chen, Xuefeng Bai, Zhixuan He, Juntao Li, Muyun Yang, Tiejun Zhao, Liqiang Nie, Min Zhang

CoRR, 2024

Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering.

Yu Zhang, Kehai Chen, Xuefeng Bai, Zhao Kang, Quanjiang Guo, Min Zhang

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

Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model.

Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang, Min Zhang

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

DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms.

Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.

Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Michael Zhu, Yue Zhang

CoRR, 2023

Investigating Forgetting in Pre-Trained Representations Through Continual Learning.

Yun Luo, Zhen Yang, Xuefeng Bai, Fandong Meng, Jie Zhou, Yue Zhang

CoRR, 2023

Exploiting Abstract Meaning Representation for Open-Domain Question Answering.

Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang

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

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.

Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Xianchao Zhu, Yue Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Cross-domain Generalization for AMR Parsing.

Xuefeng Bai, Seng Yang, Leyang Cui, Linfeng Song, Yue Zhang

CoRR, 2022

The Cross-lingual Conversation Summarization Challenge.

Yulong Chen, Ming Zhong, Xuefeng Bai, Naihao Deng, Jing Li, Xianchao Zhu, Yue Zhang

CoRR, 2022

Cross-domain Generalization for AMR Parsing.

Xuefeng Bai, Sen Yang, Leyang Cui, Linfeng Song, Yue Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Semantic-based Pre-training for Dialogue Understanding.

Xuefeng Bai, Linfeng Song, Yue Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Graph Pre-training for AMR Parsing and Generation.

Xuefeng Bai, Yulong Chen, Yue Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network.

Xuefeng Bai, Pengbo Liu, Yue Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Sentence-State LSTMs For Sequence-to-Sequence Learning.

Xuefeng Bai, Yafu Li, Zhirui Zhang, Mingzhou Xu, Boxing Chen, Weihua Luo, Derek F. Wong, Yue Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Semantic Representation for Dialogue Modeling.

Xuefeng Bai, Yulong Chen, Linfeng Song, Yue Zhang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Exploiting Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network.

Xuefeng Bai, Pengbo Liu, Yue Zhang

CoRR, 2020

Online Back-Parsing for AMR-to-Text Generation.

Xuefeng Bai, Linfeng Song, Yue Zhang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

A Bilingual Adversarial Autoencoder for Unsupervised Bilingual Lexicon Induction.

Xuefeng Bai, Hailong Cao, Kehai Chen, Tiejun Zhao

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Duality Regularization for Unsupervised Bilingual Lexicon Induction.

Xuefeng Bai, Yue Zhang, Hailong Cao, Tiejun Zhao

CoRR, 2019

2018

Improving Vector Space Word Representations Via Kernel Canonical Correlation Analysis.

Xuefeng Bai, Hailong Cao, Tiejun Zhao

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2018