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Shaoxiong Ji

ACL 2026×2SIGIR 2026评测与基准社会与人本推理多语言与语言学数据与预训练
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合作网络12
1 一作 · 3 篇 · ACL 2026 / SIGIR 2026

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2026 顶会论文

3
作者位次 #11/12ACL 2026Findings· Findings of ACL

You Never Know a Person, You Only Know Their Defenses: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations

Hongbin Na · Zimu Wang · Zhaoming Chen · Peilin Zhou · Yining Hua · Grace Ziqi Zhou · Haiyang Zhang · Tao Shen · Wei Wang · John Torous · Shaoxiong Ji · Ling Chen

摘要

Psychological defenses are strategies, often automatic, that people use to manage distress. Rigid use or overuse of defenses is negatively linked to mental health and shapes what speakers disclose and how they accept or resist help. However, defenses are complex and difficult to reliably measure,...

评测与基准社会与人本推理OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

Data-Centric Continual Pre-training for 500+ Languages: A New Bilingual Translation Corpus and Multilingual Models

Shaoxiong Ji · Zihao Li · Jaakko Paavola · Hengyu Luo · Jörg Tiedemann

摘要

This paper investigates a critical design decision in the practice of massively multilingual continual pre-training — the inclusion of parallel data. Specifically, we study the impact of bilingual translation data for massively multilingual language adaptation of the Llama 3 family of models to 5...

多语言与语言学评测与基准数据与预训练OpenReview 项目页
作者位次 #6/10SIGIR 2026Oral· Information Retrieval (TOIS)

Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning

Shuo Yu · Yingbo Wang · Ruolin Li · Guchun Liu · Yanming Shen · Shaoxiong Ji · Bowen Li · Fengling Han · Xiuzhen Zhang · Feng Xia

摘要

Graphs are prevalent in numerous real-world applications. Previous methods directly model graph structures and achieve significant success. However, these methods encounter bottlenecks due to the inherent irregularity of graphs. An innovative solution is converting graphs into textual representat...

检索与知识可解释性评测与基准OpenReview

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