Xingshan Zeng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
10
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning. | Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu |
| 2026 | ACL | ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent Web. | Zhiyuan Yao, Zishan Xu, Yifu Guo, Zhiguang Han, Cheng Yang, Shuo Zhang, Weinan Zhang, Xingshan Zeng, Weiwen Liu |
| 2025 | AAAI | Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models. | Lingzhi Wang, Xingshan Zeng, Jinsong Guo, Kam-Fai Wong, Georg Gottlob |
| 2025 | EMNLP | ACEBench: A Comprehensive Evaluation of LLM Tool Usage. | Chen Chen, Xinlong Hao, Weiwen Liu, Xu Huang, Xingshan Zeng, Shuai Yu, Dexun Li, Yuefeng Huang, Xiangcheng Liu, Xinzhi Wang, Wu Liu |
| 2025 | EMNLP | Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning. | Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | IJCAI | Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models. | Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong |
| 2025 | NAACL | ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis. | Zezhong Wang, Xingshan Zeng, Weiwen Liu, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong |
| 2025 | NAACL | Chain-of-Probe: Examining 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | EMNLP | 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 |
| 2024 | Interspeech | DINO-VITS: Data-Efficient Zero-Shot TTS with Self-Supervised Speaker Verification Loss for Noise Robustness. | Vikentii Pankov, Valeria Pronina, Alexander Kuzmin, Maksim Borisov, Nikita Usoltsev, Xingshan Zeng, Alexander Golubkov, Nikolai Ermolenko, Aleksandra Shirshova, Yulia Matveeva |
| 2023 | ACL | KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. | Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin |
| 2023 | EACL | Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. | Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | AdaTranS: Adapting with Boundary-based Shrinking for End-to-End Speech Translation. | Xingshan Zeng, Liangyou Li, Qun Liu |
| 2022 | ACL | Prior Knowledge and Memory Enriched Transformer for Sign Language Translation. | Tao Jin, Zhou Zhao, Meng Zhang, Xingshan Zeng |
| 2022 | CVPR | MLSLT: Towards Multilingual Sign Language Translation. | Aoxiong Yin, Zhou Zhao, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He |
| 2022 | EMNLP | DIGAT: Modeling News Recommendation with Dual-Graph Interaction. | Zhiming Mao, Jian Li, Hongru Wang, Xingshan Zeng, Kam-Fai Wong |
| 2022 | EMNLP | Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation. | Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong |
| 2022 | WWW | Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling. | Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong |
| 2021 | ACL | Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations. | Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong |
| 2021 | ACL | RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer. | Xingshan Zeng, Liangyou Li, Qun Liu |
| 2021 | EMNLP | Neural News Recommendation with Collaborative News Encoding and Structural User Encoding. | Zhiming Mao, Xingshan Zeng, Kam-Fai Wong |
| 2021 | EMNLP | Re-entry Prediction for Online Conversations via Self-Supervised Learning. | Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang |
| 2020 | ACL | Dynamic Online Conversation Recommendation. | Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao, Kam-Fai Wong |
| 2020 | EMNLP | Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations. | Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, Kam-Fai Wong |
| 2019 | ACL | Joint Effects of Context and User History for Predicting Online Conversation Re-entries. | Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong |
| 2019 | EMNLP | Neural Conversation Recommendation with Online Interaction Modeling. | Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong |
| 2018 | NAACL | Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse. | Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Shugars, Kam-Fai Wong |