Xingshan Zeng

According to our database, Xingshan Zeng authored at least 38 papers between 2018 and 2024.

Collaborative distances:

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

2024

Improving Conversational Recommender System Via Contextual and Time-Aware Modeling With Less Domain-Specific Knowledge.

Lingzhi Wang, Shafiq Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong

IEEE Trans. Knowl. Data Eng., November, 2024

ToolACE: Winning the Points of LLM Function Calling.

Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen

CoRR, 2024

Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization.

Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang

CoRR, 2024

Chain-of-Probe: Examing the Necessity and Accuracy of CoT Step-by-Step.

Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong

CoRR, 2024

Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models.

Lingzhi Wang, Xingshan Zeng, Jinsong Guo, Kam-Fai Wong, Georg Gottlob

CoRR, 2024

MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models.

Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models.

Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Yuxin Jiang, Lifeng Shang, Qun Liu, Kam-Fai Wong

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Learning to Edit: Aligning LLMs with Knowledge Editing.

Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models.

Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios.

Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruifeng Xu, Qun Liu

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

2023

Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion.

Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong

ACM Trans. Inf. Syst., October, 2023

DINO-VITS: Data-Efficient Noise-Robust Zero-Shot Voice Cloning via Multi-Tasking with Self-Supervised Speaker Verification Loss.

Vikentii Pankov, Valeria Pronina, Alexander Kuzmin, Maksim Borisov, Nikita Usoltsev, Xingshan Zeng, Alexander Golubkov, Nikolai Ermolenko, Aleksandra Shirshova, Yulia Matveeva

CoRR, 2023

M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models.

Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Lifeng Shang, Qun Liu, Kam-Fai Wong

CoRR, 2023

Aligning Large Language Models with Human: A Survey.

Yufei Wang, Wanjun Zhong, Liangyou Li, Fei Mi, Xingshan Zeng, Wenyong Huang, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

AdaTranS: Adapting with Boundary-based Shrinking for End-to-End Speech Translation.

Xingshan Zeng, Liangyou Li, Qun Liu

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

Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis.

Jianqiao Lu, Wenyong Huang, Nianzu Zheng, Xingshan Zeng, Yu Ting Yeung, Xiao Chen

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

Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation.

Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong

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

KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.

Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin

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

2022

Modeling Global and Local Interactions for Online Conversation Recommendation.

Xingshan Zeng, Jing Li, Lingzhi Wang, Kam-Fai Wong

ACM Trans. Inf. Syst., 2022

Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling.

Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MC-SLT: Towards Low-Resource Signer-Adaptive Sign Language Translation.

Tao Jin, Zhou Zhao, Meng Zhang, Xingshan Zeng

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation.

Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

DIGAT: Modeling News Recommendation with Dual-Graph Interaction.

Zhiming Mao, Jian Li, Hongru Wang, Xingshan Zeng, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

MLSLT: Towards Multilingual Sign Language Translation.

Aoxiong Yin, Zhou Zhao, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Prior Knowledge and Memory Enriched Transformer for Sign Language Translation.

Tao Jin, Zhou Zhao, Meng Zhang, Xingshan Zeng

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation.

Minghan Wang, Yuxia Wang, Chang Su, Jiaxin Guo, Yingtao Zhang, Yujia Liu, Min Zhang, Shimin Tao, Xingshan Zeng, Liangyou Li, Hao Yang, Ying Qin

CoRR, 2021

SimulSLT: End-to-End Simultaneous Sign Language Translation.

Aoxiong Yin, Zhou Zhao, Jinglin Liu, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory.

Zhijie Lin, Zhou Zhao, Haoyuan Li, Jinglin Liu, Meng Zhang, Xingshan Zeng, Xiaofei He

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Multilingual Speech Translation with Unified Transformer: Huawei Noah's Ark Lab at IWSLT 2021.

Xingshan Zeng, Liangyou Li, Qun Liu

Proceedings of the 18th International Conference on Spoken Language Translation, 2021

Re-entry Prediction for Online Conversations via Self-Supervised Learning.

Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Neural News Recommendation with Collaborative News Encoding and Structural User Encoding.

Zhiming Mao, Xingshan Zeng, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer.

Xingshan Zeng, Liangyou Li, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations.

Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong

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

2020

Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations.

Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, Kam-Fai Wong

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

Dynamic Online Conversation Recommendation.

Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao, Kam-Fai Wong

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Neural Conversation Recommendation with Online Interaction Modeling.

Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Joint Effects of Context and User History for Predicting Online Conversation Re-entries.

Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse.

Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Shugars, Kam-Fai Wong

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018