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Yingsong Ning

ACL 2026×2评测与基准多模态可解释性检索与知识推理
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60
一作贡献30
核心/参与5
方向广度10
合作网络6
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #5/6ACL 2026Findings· Findings of ACL

Not All Modalities at Once: Dynamic Dropout and Bidirectional Fusion for Robust Multi-modal Knowledge Graph Completion

Jiashun Peng · Fu Zhang · Hongzhi Chen · Jingwei Cheng · Yingsong Ning · Xiaoke Wang

摘要

Multi-modal Knowledge Graph Completion (MKGC) aims to infer missing links in multimodal knowledge graphs by leveraging structured triples together with auxiliary modalities such as text and images. Existing MKGC methods typically train with all modalities available, implicitly assuming consistent...

多模态可解释性评测与基准OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

Critic Rule Induction: Improving Temporal Knowledge Graph Forecasting with Generator-Critic Language Models

Yingsong Ning · Fu Zhang · Jingwei Cheng · Jiashun Peng · Xiaoke Wang

摘要

Temporal knowledge graph (TKG) forecasting aims to infer future facts from historical observations in time-evolving graphs. Traditional rule-based methods often rely on statistical co-occurrences and extensive path enumeration, suffering from rule sparsity and search-space explosion, while recent...

检索与知识评测与基准推理OpenReview 项目页

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