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Enkelejda Kasneci

ICML 2026×2AAAI 2026ACL 2026CHI 2026可解释性对齐与偏好安全评测与基准数据与预训练
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1 一作 · 5 篇 · ICML 2026 / AAAI 2026 / ACL 2026 / CHI 2026

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2026 顶会论文

5
一作ICML 2026Poster

Position: Sycophancy is an Educational Safety Risk: Why LLM Tutors Need Sycophancy Benchmarks

Enkelejda Kasneci · Gjergji Kasneci

对齐与偏好安全评测与基准OpenReview
作者位次 #4/4ICML 2026Poster· Deep Learning / Other Representation Learning

Denoising without Diffusion: Fixed-Noise Denoiser Anomaly Detection in Tabular Data

Manuel Hirth · Lukas Koberg · Nasser Jazdi · Enkelejda Kasneci

可解释性OpenReview
作者位次 #8/8ACL 2026Findings· Findings of ACL

From Scoring to Explanations: Evaluating SHAP and LLM Rationales for Rubric-based Teaching Quality Assessment

Ivo Bueno · Babette Bühler · Philipp Stark · Tim Fütterer · Ulrich Trautwein · Dorottya Demszky · Heather Hill · Enkelejda Kasneci

摘要

Automated scoring models are increasingly used to assign rubric-based quality ratings to complex language performances, including classroom transcripts, yet they typically provide little insight into why a particular score is produced. We propose a general framework for sentence-level interpretab...

数据与预训练可解释性强化学习与后训练OpenReview 项目页
作者位次 #3/3AAAI 2026Poster· Artificial Intelligence

Democratizing Writing Support with AI: Insights from One Year of Real-World Interactions with an Open-Access Writing Feedback Tool

Babette Bühler · Ivo Bueno · Enkelejda Kasneci

常见合作者