paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
DD

Dorottya Demszky

ACL 2026×2社会与人本多模态检索与知识数据与预训练可解释性
新星分资深
17
一作贡献0
核心/参与5
方向广度10
合作网络3
0 一作 · 2 篇 · ACL 2026

获取完整研究档案

首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

2
作者位次 #10/10ACL 2026Workshop· ACL System Demonstrations

E du C oder: An Open-Source Annotation System for Education Transcript Data

Saad Ashraf · Jim Malamut · Vishal Kumar · Guanzhong Pan · HyunJi Nam · Mei Tan · Lucía Langlois · Liliana Carolina Santos-Deonizio · Helen Spencer Higgins · Dorottya Demszky

摘要

We present EduCoder, an open-source web platform designed for annotating classroom conversation transcripts. Existing annotation tools do not support the team-based workflows or access to instructional context that education discourse research requires. EduCoder addresses these gaps by combining...

社会与人本多模态检索与知识OpenReview 项目页
作者位次 #6/8ACL 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

常见合作者