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Bin Wu

ACL 2026×2AAAI 2026可解释性推理检索与知识智能体与工具对齐与偏好
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0 一作 · 3 篇 · ACL 2026 / AAAI 2026

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2026 顶会论文

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

DVI - DTM : Dual-View Representation Learning for Interpretable Short Text Dynamic Topic Modeling

Di Liu · Zheng Fang · Bin Wu

摘要

Dynamic topic modeling aims to capture topic evolution from temporal text corpora. However, existing methods face two major challenges when applied to short texts: semantic ambiguity and interpretation ambiguity. Semantic ambiguity arises from the sparsity of short texts and the neglect of tempor...

可解释性推理智能体与工具OpenReview 项目页
作者位次 #4/4ACL 2026Findings· Findings of ACL

Beyond Topology: Generative Node Importance Estimation via Structure-Guided Semantic Reasoning

Kuofei Fang · Siyan Wu · Yu Guo · Bin Wu

摘要

Node Importance Estimation (NIE) in Knowledge Graphs (KGs) aims to quantify the significance of entities, serving as a pivotal instrument for deciphering the latent mechanisms of social dynamics. However, existing methods are often confined to supervised paradigms and rely heavily on topological...

推理可解释性检索与知识OpenReview 项目页
作者位次 #4/4AAAI 2026Poster· Artificial Intelligence

TGCA-LLM: Time-Aware Graph-Text Contrastive Alignment for Enhancing LLMs in Temporal Knowledge Graph Completion

Zexuan Wan · Bo Wang · Kuofei Fang · Bin Wu

对齐与偏好检索与知识OpenReview

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