Xingshan Zeng

84 papers A* 13A 1Journal 47Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
ARTIS: Agentic Risk-Aware Test-Time Scaling via Iterative Simulation.
CoRR
Xingshan Zeng, Lingzhi Wang, Weiwen Liu, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu
2026 J jnl
From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation.
CoRR
Yuxin Jiang, Yufei Wang, Qiyuan Zhang, Xingshan Zeng, Liangyou Li, Jierun Chen, Chaofan Tao, Haoli Bai, Lifeng Shang
2026 J jnl
ToolACE-MCP: Generalizing History-Aware Routing from MCP Tools to the Agent Web.
CoRR
Zhiyuan Yao, Zishan Xu, Yifu Guo, Zhiguang Han, Cheng Yang, Shuo Zhang, Weinan Zhang, Xingshan Zeng, Weiwen Liu
2026 A* conf
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning.
AAAI
Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu
2025 — conf
ACEBench: A Comprehensive Evaluation of LLM Tool Usage.
EMNLP (Findings)
Chen Chen, Xinlong Hao, Weiwen Liu, Xu Huang, Xingshan Zeng, Shuai Yu, Dexun Li, Yuefeng Huang, Xiangcheng Liu, Xinzhi Wang, Wu Liu
2025 J jnl
ACEBench: Who Wins the Match Point in Tool Learning?
CoRR
Chen Chen, Xinlong Hao, Weiwen Liu, Xu Huang, Xingshan Zeng, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Yuefeng Huang, Wulong Liu, Xinzhi Wang, Defu Lian, Baoqun Yin, Yasheng Wang, Wu Liu
2025 J jnl
Advancing and Benchmarking Personalized Tool Invocation for LLMs.
CoRR
Xu Huang, Yuefeng Huang, Weiwen Liu, Xingshan Zeng, Yasheng Wang, Ruiming Tang, Hong Xie, Defu Lian
2025 A* conf
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization.
ICLR
Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang
2025 — conf
Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step.
NAACL (Findings)
Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
2025 A* conf
Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models.
IJCAI
Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong
2025 J jnl
Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agents.
CoRR
Yihong Tang, Kehai Chen, Liang Yue, Jinxin Fan, Caishen Zhou, Xiaoguang Li, Yuyang Zhang, Mingming Zhao, Shixiong Kai, Kaiyang Guo, Xingshan Zeng, Wenjing Cun, Lifeng Shang, Min Zhang
2025 J jnl
Fast, Slow, and Tool-augmented Thinking for LLMs: A Review.
CoRR
Xinda Jia, Jinpeng Li, Zezhong Wang, Jingjing Li, Xingshan Zeng, Yasheng Wang, Weinan Zhang, Yong Yu, Weiwen Liu
2025 J jnl
Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents.
CoRR
Yiming Du, Baojun Wang, Yifan Xiang, Zhaowei Wang, Wenyu Huang, Boyang Xue, Bin Liang, Xingshan Zeng, Fei Mi, Haoli Bai, Lifeng Shang, Jeff Z. Pan, Yuxin Jiang, Kam-Fai Wong
2025 J jnl
Pitfalls of Rule- and Model-based Verifiers - A Case Study on Mathematical Reasoning.
CoRR
Yuzhen Huang, Weihao Zeng, Xingshan Zeng, Qi Zhu, Junxian He
2025 A* conf
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models.
AAAI
Lingzhi Wang, Xingshan Zeng, Jinsong Guo, Kam-Fai Wong, Georg Gottlob
2025 A* conf
Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning.
EMNLP
Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
2025 J jnl
Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning.
CoRR
Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
2025 J jnl
The Real Barrier to LLM Agent Usability is Agentic ROI.
CoRR
Weiwen Liu, Jiarui Qin, Xu Huang, Xingshan Zeng, Yunjia Xi, Jianghao Lin, Chuhan Wu, Yasheng Wang, Lifeng Shang, Ruiming Tang, Defu Lian, Yong Yu, Weinan Zhang
2025 J jnl
ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution.
CoRR
Xu Huang, Weiwen Liu, Xingshan Zeng, Yuefeng Huang, Xinlong Hao, Yuxian Wang, Yirong Zeng, Chuhan Wu, Yasheng Wang, Ruiming Tang, Defu Lian
2025 J jnl
ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction.
CoRR
Xingshan Zeng, Weiwen Liu, Lingzhi Wang, Liangyou Li, Fei Mi, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu
2025 J jnl
ToolACE-R: Tool Learning with Adaptive Self-Refinement.
CoRR
Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu
2025 A* conf
ToolACE: Winning the Points of LLM Function Calling.
ICLR
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 — conf
ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis.
NAACL (Long Papers)
Zezhong Wang, Xingshan Zeng, Weiwen Liu, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
2024 J jnl
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization.
CoRR
Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang
2024 J jnl
Chain-of-Probe: Examing the Necessity and Accuracy of CoT Step-by-Step.
CoRR
Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
2024 A conf
DINO-VITS: Data-Efficient Zero-Shot TTS with Self-Supervised Speaker Verification Loss for Noise Robustness.
INTERSPEECH
Vikentii Pankov, Valeria Pronina, Alexander Kuzmin, Maksim Borisov, Nikita Usoltsev, Xingshan Zeng, Alexander Golubkov, Nikolai Ermolenko, Aleksandra Shirshova, Yulia Matveeva
2024 — conf
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models.
ACL (1)
Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang
2024 J jnl
GUI Agents with Foundation Models: A Comprehensive Survey.
CoRR
Shuai Wang, Weiwen Liu, Jingxuan Chen, Weinan Gan, Xingshan Zeng, Shuai Yu, Xinlong Hao, Kun Shao, Yasheng Wang, Ruiming Tang
2024 J jnl
Improving Conversational Recommender System Via Contextual and Time-Aware Modeling With Less Domain-Specific Knowledge.
IEEE Trans. Knowl. Data Eng.
Lingzhi Wang, Shafiq Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong
2024 — conf
Learning to Edit: Aligning LLMs with Knowledge Editing.
ACL (1)
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 J jnl
Learning to Edit: Aligning LLMs with Knowledge Editing.
CoRR
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 — conf
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models.
ACL (1)
Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Yuxin Jiang, Lifeng Shang, Qun Liu, Kam-Fai Wong
2024 A* conf
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models.
EMNLP
Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
2024 J jnl
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models.
CoRR
Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
2024 — conf
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios.
ACL (Findings)
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 J jnl
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios.
CoRR
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 J jnl
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models.
CoRR
Lingzhi Wang, Xingshan Zeng, Jinsong Guo, Kam-Fai Wong, Georg Gottlob
2024 J jnl
ToolACE: Winning the Points of LLM Function Calling.
CoRR
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
2024 J jnl
ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis.
CoRR
Zezhong Wang, Xingshan Zeng, Weiwen Liu, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
2023 — conf
AdaTranS: Adapting with Boundary-based Shrinking for End-to-End Speech Translation.
EMNLP (Findings)
Xingshan Zeng, Liangyou Li, Qun Liu
2023 J jnl
Aligning Large Language Models with Human: A Survey.
CoRR
Yufei Wang, Wanjun Zhong, Liangyou Li, Fei Mi, Xingshan Zeng, Wenyong Huang, Lifeng Shang, Xin Jiang, Qun Liu
2023 J jnl
DINO-VITS: Data-Efficient Noise-Robust Zero-Shot Voice Cloning via Multi-Tasking with Self-Supervised Speaker Verification Loss.
CoRR
Vikentii Pankov, Valeria Pronina, Alexander Kuzmin, Maksim Borisov, Nikita Usoltsev, Xingshan Zeng, Alexander Golubkov, Nikolai Ermolenko, Aleksandra Shirshova, Yulia Matveeva
2023 J jnl
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models.
CoRR
Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang
2023 — conf
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis.
EMNLP (Findings)
Jianqiao Lu, Wenyong Huang, Nianzu Zheng, Xingshan Zeng, Yu Ting Yeung, Xiao Chen
2023 J jnl
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis.
CoRR
Jianqiao Lu, Wenyong Huang, Nianzu Zheng, Xingshan Zeng, Yu Ting Yeung, Xiao Chen
2023 — conf
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.
ACL (1)
Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin
2023 J jnl
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.
CoRR
Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin
2023 J jnl
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models.
CoRR
Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Lifeng Shang, Qun Liu, Kam-Fai Wong
2023 J jnl
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion.
ACM Trans. Inf. Syst.
Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong
2023 — conf
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation.
EACL (Findings)
Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong
2023 J jnl
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation.
CoRR
Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong
2022 J jnl
AdaTranS: Adapting with Boundary-based Shrinking for End-to-End Speech Translation.
CoRR
Xingshan Zeng, Liangyou Li, Qun Liu
2022 — conf
DIGAT: Modeling News Recommendation with Dual-Graph Interaction.
EMNLP (Findings)
Zhiming Mao, Jian Li, Hongru Wang, Xingshan Zeng, Kam-Fai Wong
2022 J jnl
DIGAT: Modeling News Recommendation with Dual-Graph Interaction.
CoRR
Zhiming Mao, Jian Li, Hongru Wang, Xingshan Zeng, Kam-Fai Wong
2022 J jnl
Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledge.
CoRR
Lingzhi Wang, Shafiq R. Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong
2022 — conf
Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation.
EMNLP (Findings)
Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong
2022 A* conf
MC-SLT: Towards Low-Resource Signer-Adaptive Sign Language Translation.
ACM Multimedia
Tao Jin, Zhou Zhao, Meng Zhang, Xingshan Zeng
2022 A* conf
MLSLT: Towards Multilingual Sign Language Translation.
CVPR
Aoxiong Yin, Zhou Zhao, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He
2022 J jnl
Modeling Global and Local Interactions for Online Conversation Recommendation.
ACM Trans. Inf. Syst.
Xingshan Zeng, Jing Li, Lingzhi Wang, Kam-Fai Wong
2022 — conf
Prior Knowledge and Memory Enriched Transformer for Sign Language Translation.
ACL (Findings)
Tao Jin, Zhou Zhao, Meng Zhang, Xingshan Zeng
2022 A* conf
Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling.
WWW
Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong
2021 J jnl
Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations.
CoRR
Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, Kam-Fai Wong
2021 — conf
Multilingual Speech Translation with Unified Transformer: Huawei Noah's Ark Lab at IWSLT 2021.
IWSLT
Xingshan Zeng, Liangyou Li, Qun Liu
2021 J jnl
Multilingual Speech Translation with Unified Transformer: Huawei Noah's Ark Lab at IWSLT 2021.
CoRR
Xingshan Zeng, Liangyou Li, Qun Liu
2021 — conf
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding.
EMNLP (Findings)
Zhiming Mao, Xingshan Zeng, Kam-Fai Wong
2021 J jnl
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding.
CoRR
Zhiming Mao, Xingshan Zeng, Kam-Fai Wong
2021 — conf
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations.
ACL/IJCNLP (2)
Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong
2021 J jnl
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations.
CoRR
Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong
2021 — conf
Re-entry Prediction for Online Conversations via Self-Supervised Learning.
EMNLP (Findings)
Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang
2021 J jnl
Re-entry Prediction for Online Conversations via Self-Supervised Learning.
CoRR
Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang
2021 — conf
RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer.
ACL/IJCNLP (Findings)
Xingshan Zeng, Liangyou Li, Qun Liu
2021 J jnl
RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer.
CoRR
Xingshan Zeng, Liangyou Li, Qun Liu
2021 A* conf
SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory.
ACM Multimedia
Zhijie Lin, Zhou Zhao, Haoyuan Li, Jinglin Liu, Meng Zhang, Xingshan Zeng, Xiaofei He
2021 J jnl
SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory.
CoRR
Zhijie Lin, Zhou Zhao, Haoyuan Li, Jinglin Liu, Meng Zhang, Xingshan Zeng, Xiaofei He
2021 A* conf
SimulSLT: End-to-End Simultaneous Sign Language Translation.
ACM Multimedia
Aoxiong Yin, Zhou Zhao, Jinglin Liu, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He
2021 J jnl
SimulSLT: End-to-End Simultaneous Sign Language Translation.
CoRR
Aoxiong Yin, Zhou Zhao, Jinglin Liu, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He
2021 J jnl
Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling.
CoRR
Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong
2021 J jnl
The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation.
CoRR
Minghan Wang, Yuxia Wang, Chang Su, Jiaxin Guo, Yingtao Zhang, Yujia Liu, Min Zhang, Shimin Tao, Xingshan Zeng, Liangyou Li, Hao Yang, Ying Qin
2020 — conf
Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations.
EMNLP (1)
Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, Kam-Fai Wong
2020 A* conf
Dynamic Online Conversation Recommendation.
ACL
Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao, Kam-Fai Wong
2019 — conf
Joint Effects of Context and User History for Predicting Online Conversation Re-entries.
ACL (1)
Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong
2019 J jnl
Joint Effects of Context and User History for Predicting Online Conversation Re-entries.
CoRR
Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong
2019 — conf
Neural Conversation Recommendation with Online Interaction Modeling.
EMNLP/IJCNLP (1)
Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong
2018 — conf
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse.
NAACL-HLT
Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Shugars, Kam-Fai Wong