Songlin Zhai

19 papers A* 4B 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
IGen: Redefining long-term event prediction with iterative generation and dynamic balancing.
Inf. Process. Manag.
Yuxin Zhang, Yan Wang, Songlin Zhai, Yongrui Chen, Shenyu Zhang, Yuan Meng, Zhihua Chai, Sheng Bi, Guilin Qi
2026 A* conf
TaxReasoning: Benchmarking Knowledge-Intensive Mathematical Reasoning with Evolving Tax Laws.
AAAI
Nan Hu, Yike Wu, Jiaye Li, Huikang Hu, Guilin Qi, Songlin Zhai, Yongrui Chen, Tianxing Wu, Tongtong Wu, Jiaoyan Chen, Jeff Z. Pan
2025 J jnl
DST: Continual event prediction by decomposing and synergizing the task commonality and specificity.
Inf. Process. Manag.
Yuxin Zhang, Songlin Zhai, Yongrui Chen, Shenyu Zhang, Sheng Bi, Yuan Meng, Guilin Qi
2025 J jnl
Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs.
CoRR
Yu Li, Yi Huang, Guilin Qi, Junlan Feng, Nan Hu, Songlin Zhai, Haohan Xue, Yongrui Chen, Ruoyan Shen, Tongtong Wu
2025 — conf
Harnessing Diverse Perspectives: A Multi-agent Framework for Enhanced Error Detection in Knowledge Graphs.
DASFAA (6)
Yu Li, Yi Huang, Guilin Qi, Junlan Feng, Nan Hu, Songlin Zhai, Haohan Xue, Yongrui Chen, Ruoyan Shen, Tongtong Wu
2025 J jnl
KG-Attention: Knowledge Graph-Guided Attention at Test-Time via Bidirectional Information Aggregation.
CoRR
Songlin Zhai, Guilin Qi, Yuan Meng
2025 — conf
Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths.
ACL (1)
Songlin Zhai, Yuan Meng, Yuxin Zhang, Guilin Qi
2025 A* conf
Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying.
ICML
Songlin Zhai, Yuan Meng, Yongrui Chen, Yiwei Wang, Guilin Qi
2025 B conf
TEF: Causality-Aware Taxonomy Expansion via Front-Door Criterion.
COLING
Yuan Meng, Songlin Zhai, Yuxin Zhang, Zhongjian Hu, Guilin Qi
2024 — conf
Attributed Triple Extraction by Combination Under Contrastive Learning.
DASFAA (7)
Runzhe Wang, Gaofeng Xu, Guilin Qi, Yun Li, Yongrui Chen, Songlin Zhai, Yuxin Zhang, Rihui Jin, Nijun Li, Qianren Wang
2024 — conf
Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study.
EMNLP (Findings)
Keyu Wang, Guilin Qi, Jiaqi Li, Songlin Zhai
2024 J jnl
Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study.
CoRR
Keyu Wang, Guilin Qi, Jiaqi Li, Songlin Zhai
2024 J jnl
Event is more valuable than you think: Improving the Similar Legal Case Retrieval via event knowledge.
Inf. Process. Manag.
Yuxin Zhang, Songlin Zhai, Yuan Meng, Sheng Bi, Yongrui Chen, Guilin Qi
2024 J jnl
Which is better? Taxonomy induction with learning the optimal structure via contrastive learning.
Knowl. Based Syst.
Yuan Meng, Songlin Zhai, Zhihua Chai, Yuxin Zhang, Tianxing Wu, Guilin Qi, Wei Song
2023 J jnl
DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-Gaussian Space.
CoRR
Songlin Zhai, Weiqing Wang, Yuan-Fang Li, Yuan Meng
2023 A* conf
DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space.
AAAI
Songlin Zhai, Weiqing Wang, Yuan-Fang Li, Yuan Meng
2021 J jnl
VSE-fs: Fast Full-Sample Visual Semantic Embedding.
IEEE Intell. Syst.
Songlin Zhai, Guibing Guo, Fajie Yuan, Yuan Liu, Xingwei Wang
2018 A* conf
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling.
AAAI
Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang
2018 J jnl
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling.
CoRR
Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang