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2020 – today
- 2024
[c11]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle &Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. AIED (1) 2024: 75-90- [c10]Frederik Baucks
, Robin Schmucker, Laurenz Wiskott:
Gaining Insights into Course Difficulty Variations Using Item Response Theory. LAK 2024: 450-461 - [c9]Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper:
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. L@S 2024: 122-133 - [c8]Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott:
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. L@S 2024: 165-176 - [c7]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: From Lesson Text to Conversational Tutoring. L@S 2024: 547-549 - [i9]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. CoRR abs/2404.17460 (2024) - [i8]Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper:
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. CoRR abs/2405.20526 (2024) - [i7]Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott:
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. CoRR abs/2406.04348 (2024) - 2023
- [c6]Robin Schmucker, Nimish Pachapurkar, Bala Shanmugam, Miral Shah, Tom M. Mitchell:
Learning to Give Useful Hints: Assistance Action Evaluation and Policy Improvements. EC-TEL 2023: 383-398 - [c5]Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price:
KC-Finder: Automated Knowledge Component Discovery for Programming Problems. EDM 2023 - [i6]Richard Jiarui Tong, Cassie Chen Cao, Timothy Xueqian Lee, Guodong Zhao, Ray Wan, Feiyue Wang, Xiangen Hu, Robin Schmucker, Jinsheng Pan, Julian Quevedo, Yu Lu:
NEOLAF, an LLM-powered neural-symbolic cognitive architecture. CoRR abs/2308.03990 (2023) - [i5]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems. CoRR abs/2310.01420 (2023) - 2022
- [i4]Robin Schmucker, Tom M. Mitchell:
Transferable Student Performance Modeling for Intelligent Tutoring Systems. CoRR abs/2202.03980 (2022) - 2021
- [j1]Robin Schmucker, Gabriele Farina, James R. Faeder, Fabian Fröhlich, Ali Sinan Saglam, Tuomas Sandholm:
Combination treatment optimization using a pan-cancer pathway model. PLoS Comput. Biol. 17(12) (2021) - [c4]Gabriele Farina, Robin Schmucker, Tuomas Sandholm:
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. AAAI 2021: 5372-5380 - [c3]Valerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cédric Archambeau:
Fair Bayesian Optimization. AIES 2021: 854-863 - [i3]Gabriele Farina, Robin Schmucker, Tuomas Sandholm:
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. CoRR abs/2103.04546 (2021) - [i2]Robin Schmucker, Michele Donini, Muhammad Bilal Zafar, David Salinas, Cédric Archambeau:
Multi-objective Asynchronous Successive Halving. CoRR abs/2106.12639 (2021) - [i1]Robin Schmucker, Jingbo Wang, Shijia Hu, Tom M. Mitchell:
Assessing the Knowledge State of Online Students - New Data, New Approaches, Improved Accuracy. CoRR abs/2109.01753 (2021)
2010 – 2019
- 2018
- [c2]Michiel de Jong, Kevin Zhang, Aaron M. Roth, Travers Rhodes, Robin Schmucker, Chenghui Zhou, Sofia Ferreira, João Cartucho, Manuela M. Veloso:
Towards a Robust Interactive and Learning Social Robot. AAMAS 2018: 883-891 - [c1]Robin Schmucker, Chenghui Zhou, Manuela Veloso:
Multimodal Movement Activity Recognition Using a Robot's Proprioceptive Sensors. RoboCup 2018: 299-310
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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