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Xiaobo Liang
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2020 – today
- 2025
[c15]Wenjing Xie, Xiaobo Liang, Juntao Li, Wanfu Wang, Kehai Chen, Qiaoming Zhu, Min Zhang:
From Awareness to Adaptability: Enhancing Tool Utilization for Scientific Reasoning. ACL (Findings) 2025: 8811-8831
[c14]Haoke Zhang, Xiaobo Liang, Cunxiang Wang, Juntao Li, Min Zhang:
Unlocking Recursive Thinking of LLMs: Alignment via Refinement. ACL (Findings) 2025: 11169-11182
[c13]Yuyang Ding, Xinyu Shi, Xiaobo Liang, Juntao Li, Zhaopeng Tu, Qiaoming Zhu, Min Zhang:
Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch. ACL (1) 2025: 13414-13438
[c12]Xiaobo Liang, Wenjin Xie, Juntao Li, Wanfu Wang, Yibin Chen, Kehai Chen, Min Zhang:
Tool learning via Inference-time Scaling and Cycle Verifier. ACL (Findings) 2025: 24658-24671
[c11]Xiaobo Liang, Haoke Zhang, Juntao Li, Kehai Chen, Qiaoming Zhu, Min Zhang:
Generative Reward Modeling via Synthetic Criteria Preference Learning. ACL (1) 2025: 26755-26769
[c10]Kehang Jia, Juntao Li, Xiaobo Liang, Yisheng Xiao, Yixuan Yang, Min Zhang:
MMA: Cross-Domain Knowledge Integration via Mixture of Multi-Domain Agents. EMNLP (Findings) 2025: 13145-13160
[i11]Haoke Zhang, Xiaobo Liang, Cunxiang Wang, Juntao Li, Min Zhang:
Unlocking Recursive Thinking of LLMs: Alignment via Refinement. CoRR abs/2506.06009 (2025)
[i10]Wanfu Wang, Qipeng Huang, Guangquan Xue, Xiaobo Liang, Juntao Li:
Learning Active Perception via Self-Evolving Preference Optimization for GUI Grounding. CoRR abs/2509.04243 (2025)
[i9]Yuyang Ding, Xinyu Shi
, Juntao Li, Xiaobo Liang, Zhaopeng Tu, Min Zhang:
SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning. CoRR abs/2509.16548 (2025)
[i8]Yangzhou Liu, Yue Cao, Hao Li, Gen Luo, Zhe Chen, Weiyun Wang, Xiaobo Liang, Biqing Qi, Lijun Wu, Changyao Tian, Yanting Zhang, Yuqiang Li, Tong Lu, Yu Qiao, Jifeng Dai, Wenhai Wang:
Sequential Diffusion Language Models. CoRR abs/2509.24007 (2025)
[i7]Zecheng Tang, Baibei Ji, Quantong Qiu, Haitian Wang, Xiaobo Liang, Juntao Li, Min Zhang:
LongRM: Revealing and Unlocking the Context Boundary of Reward Modeling. CoRR abs/2510.06915 (2025)
[i6]Qianben Chen, Jingyi Cao, Jiayu Zhang, Tianrui Qin, Xiaowan Li, King Zhu, Dingfeng Shi, He Zhu, Minghao Liu, Xiaobo Liang, Xin Gui, Ge Zhang, Jian Yang, Yuchen Eleanor Jiang, Wangchunshu Zhou:
A2FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning. CoRR abs/2510.12838 (2025)- 2024
[j6]Juntao Li
, Xiaobo Liang
, Lijun Wu
, Yue Wang
, Qi Meng
, Tao Qin
, Min Zhang
, Tie-Yan Liu
:
Randomness Regularization With Simple Consistency Training for Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5763-5778 (2024)
[j5]Xiaobo Liang
, Runze Mao
, Lijun Wu
, Juntao Li
, Min Zhang
, Qing Li
:
Enhancing Low-Resource NLP by Consistency Training With Data and Model Perturbations. IEEE ACM Trans. Audio Speech Lang. Process. 32: 189-199 (2024)
[i5]Xiaobo Liang, Haoke Zhang, Helan hu, Juntao Li, Jun Xu, Min Zhang:
Fennec: Fine-grained Language Model Evaluation and Correction Extended through Branching and Bridging. CoRR abs/2405.12163 (2024)
[i4]Yuyang Ding, Xinyu Shi
, Xiaobo Liang, Juntao Li, Qiaoming Zhu, Min Zhang:
Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch. CoRR abs/2410.18693 (2024)- 2023
[j4]Yue Wang, Lijun Wu, Juntao Li, Xiaobo Liang, Min Zhang:
Are the BERT family zero-shot learners? A study on their potential and limitations. Artif. Intell. 322: 103953 (2023)
[j3]Jiacheng Lin, Lijun Wu
, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu:
R2-DDI: relation-aware feature refinement for drug-drug interaction prediction. Briefings Bioinform. 24(1) (2023)
[c9]Xiaobo Liang, Zecheng Tang, Juntao Li, Min Zhang:
Open-ended Long Text Generation via Masked Language Modeling. ACL (1) 2023: 223-241
[c8]Xiaobo Liang, Juntao Li, Lijun Wu, Ziqiang Cao
, Min Zhang:
Dynamic and Efficient Inference for Text Generation via BERT Family. ACL (1) 2023: 2883-2897
[c7]Yachun Ge
, Xiaobo Liang
:
A Visual Analysis of the Hotspots of the Nanjing Massacre Research in the Context of Big Data. ICBAR 2023: 971-975
[c6]Chong Liu
, Xiaoyang Liu
, Rongqin Zheng
, Lixin Zhang
, Xiaobo Liang
, Juntao Li
, Lijun Wu
, Min Zhang
, Leyu Lin
:
CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation. KDD 2023: 3901-3913- 2022
[j2]Xiaobo Liang, Lijun Wu
, Juntao Li
, Tao Qin
, Min Zhang, Tie-Yan Liu:
Multi-Teacher Distillation With Single Model for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 992-1002 (2022)
[c5]Xiaobo Liang, Lijun Wu, Juntao Li, Min Zhang:
JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation. EMNLP 2022: 8050-8060- 2021
[c4]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. NeurIPS 2021: 10890-10905
[i3]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. CoRR abs/2106.14448 (2021)
[i2]Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin:
C2-Rec: An Effective Consistency Constraint for Sequential Recommendation. CoRR abs/2112.06668 (2021)- 2020
[j1]Xiaobo Liang
, Wenli Ma, Jin Zhou, Sijie Kong:
Star Identification Algorithm Based on Image Normalization and Zernike Moments. IEEE Access 8: 29228-29237 (2020)
2010 – 2019
- 2018
[c3]Lingfeng Pan, Yi Zhang, Feiliang Ren, Yining Hou, Yan Li, Xiaobo Liang, Yongkang Liu:
A Multiple Utterances based Neural Network Model for Joint Intent Detection and Slot Filling. CCKS Tasks 2018: 25-33
[c2]Yongkang Liu, Xiaobo Liang, Feiliang Ren, Yan Li, Yining Hou, Yi Zhang, Lingfeng Pan:
An Enhanced ESIM Model for Sentence Pair Matching with Self-Attention. CCKS Tasks 2018: 52-62
[c1]Feiliang Ren, Di Zhou, Zhihui Liu, Yongcheng Li, Rongsheng Zhao, Yongkang Liu, Xiaobo Liang:
Neural Relation Classification with Text Descriptions. COLING 2018: 1167-1177
[i1]Feiliang Ren, Yining Hou, Yan Li, Lingfeng Pan, Yi Zhang, Xiaobo Liang, Yongkang Liu, Yu Guo, Rongsheng Zhao, Ruicheng Ming, Huiming Wu:
TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph. CoRR abs/1812.06722 (2018)
Coauthor Index

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last updated on 2026-03-21 01:18 CET by the dblp team
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