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Huangming Xu

ACL 2026×2可解释性推理对齐与偏好数据与预训练代码
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一作贡献30
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合作网络3
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #3/4ACL 2026Poster· Natural Language Processing

DEBAR : Mitigating Contextual Bias in Cross-Document Relation Extraction via Dual-Stream Decoupling

Zhixuan Yang · Fu Zhang · Huangming Xu · Jingwei Cheng

摘要

Cross-document Relation Extraction (CodRE) requires reasoning over scattered evidence to identify relations between target entities across multiple documents. Existing methods indiscriminately fuse target entities and the intermediate bridge entities that link them into a unified representation....

推理对齐与偏好可解释性OpenReview 项目页
一作ACL 2026Poster· Natural Language Processing

ATGL : An Adaptive-Threshold Global Loss for Document-level Relation Extraction

Huangming Xu · Fu Zhang · Zhixuan Yang · Lu Zhang · Jingwei Cheng

摘要

Document-level relation extraction (DocRE) aims to determine which relations hold between a given entity pair within a document. As a multi-label classification task, the most commonly adopted paradigm introduces a learnable threshold to distinguish positive and negative classes for an entity pai...

可解释性数据与预训练代码OpenReview 项目页

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