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Eduard Dragut

ACL 2026×3VLDB 2026×2NeurIPS 2026智能体与工具代码社会与人本强化学习与后训练评测与基准
新星分资深
32
一作贡献0
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方向广度16
合作网络3
0 一作 · 6 篇 · ACL 2026 / VLDB 2026 / NeurIPS 2026

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2026 顶会论文

6
作者位次 #2/2NeurIPS 2026Poster

PatchScout: Thematic Web Data Collection via Information Foraging

Michael West · Eduard Dragut

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

C entaur TA : A Self-Improving Human-Agents Collaboration Framework for Thematic Analysis

Lei Wang · Min Huang · Eduard Dragut

摘要

Qualitative analysis is essential for studying complex social and behavioral phenomena, yet existing large language model (LLM) approaches face key limitations. Fully automated pipelines often compromise methodological rigor, while fully manual coding remains costly and labor-intensive. Although...

智能体与工具代码社会与人本OpenReview 项目页
作者位次 #5/5ACL 2026Findings· Findings of ACL

Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition

Qi Zhang · Fangping Lan · Cornelia Caragea · Longin Jan Latecki · Eduard Dragut

摘要

In-context learning (ICL) with large language models (LLMs) has emerged as a powerful alternative to fine-tuning for Named Entity Recognition (NER), achieving strong performance with minimal annotation and no additional training. However, prior work has shown that despite their adaptability, LLMs...

强化学习与后训练评测与基准多语言与语言学OpenReview 项目页
作者位次 #3/3ACL 2026Findings· Findings of ACL

Making Revisions Understandable: A Survey of Edit Intentions, Methods, and Applications

Fangping Lan · Qi Zhang · Eduard Dragut

摘要

Text revision is a core process in document creation, capturing how authors iteratively refine, reorganize, and improve written content. With the increasing availability of large-scale revision histories from platforms such as Wikipedia and arXiv, NLP research has begun to move beyond modeling wh...

数据与预训练检索与知识多模态OpenReview 项目页
作者位次 #2/2VLDB 2026Oral· Data Management (REG)

A Demo of Interactive Thematic Data Collection on the Live Web

Michael West · Eduard Dragut

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