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Steffen Eger

ACL 2026×2CVPR 2026ICLR 2026评测与基准多模态强化学习与后训练检索与知识可解释性
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0 一作 · 4 篇 · ACL 2026 / CVPR 2026 / ICLR 2026

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2026 顶会论文

4
作者位次 #2/2ICLR 2026Poster· Computer Vision / Vision Models & Multimodal

TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement Learning

Christian Greisinger · Steffen Eger

多模态强化学习与后训练OpenReview
作者位次 #5/5ACL 2026Findings· Findings of ACL

G er AV : Towards New Heights in G erman Authorship Verification using Fine-Tuned LLM s on a New Benchmark

Lotta Kiefer · Christoph Leiter · Sotaro Takeshita · Elena Schmidt · Steffen Eger

摘要

Authorship verification (AV) is the task of determining whether two texts were written by the same author and has been studied extensively, predominantly for English data. In contrast, large-scale benchmarks and systematic evaluations for other languages remain scarce. We address this gap by intr...

评测与基准强化学习与后训练检索与知识OpenReview 项目页
作者位次 #2/6ACL 2026Findings· Findings of ACL

Beyond Reproduction: A Paired-Task Framework for Assessing LLM Comprehension and Creativity in Literary Translation

Ran Zhang · Steffen Eger · Arda Tezcan · Wei Zhao · Simone Paolo Ponzetto · Lieve Macken

摘要

Large language models (LLMs) are increasingly used for creative tasks such as literary translation. Yet translational creativity remains underexplored and is rarely evaluated at scale, while source-text comprehension is typically studied in isolation, despite the fact that, in professional transl...

评测与基准检索与知识多语言与语言学OpenReview 项目页

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