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Robin Schmucker

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2020 – today

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2024
[j2]
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Robin Schmucker:
Harnessing Machine Learning and Generative AI: A New Era in Online Tutoring Systems. XRDS 31(1): 40-45 (2024)
[c11]
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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]
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  - conf/lak/BaucksSW24
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Frederik Baucks, Robin Schmucker, Laurenz Wiskott:
Gaining Insights into Course Difficulty Variations Using Item Response Theory. LAK 2024: 450-461
[c9]
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  - conf/lats/MooreSMS24
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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]
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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]
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Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: From Lesson Text to Conversational Tutoring. L@S 2024: 547-549
[i9]
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  - journals/corr/abs-2404-17460
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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]
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  - journals/corr/abs-2405-20526
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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]
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  - journals/corr/abs-2406-04348
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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]
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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]
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Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price:
KC-Finder: Automated Knowledge Component Discovery for Programming Problems. EDM 2023
[i6]
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  - journals/corr/abs-2308-03990
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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]
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  - journals/corr/abs-2310-01420
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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]
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  - journals/corr/abs-2202-03980
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Robin Schmucker, Tom M. Mitchell:
Transferable Student Performance Modeling for Intelligent Tutoring Systems. CoRR abs/2202.03980 (2022)
2021
[j1]
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  - journals/ploscb/SchmuckerFFFSS21
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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]
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  - conf/aaai/FarinaSS21
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Gabriele Farina, Robin Schmucker, Tuomas Sandholm:
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. AAAI 2021: 5372-5380
[c3]
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  - conf/aies/PerroneDZSKA21
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Valerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cédric Archambeau:
Fair Bayesian Optimization. AIES 2021: 854-863
[i3]
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  - journals/corr/abs-2103-04546
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Gabriele Farina, Robin Schmucker, Tuomas Sandholm:
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. CoRR abs/2103.04546 (2021)
[i2]
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  - journals/corr/abs-2106-12639
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Robin Schmucker, Michele Donini, Muhammad Bilal Zafar, David Salinas, Cédric Archambeau:
Multi-objective Asynchronous Successive Halving. CoRR abs/2106.12639 (2021)
[i1]
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  - journals/corr/abs-2109-01753
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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

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2018
[c2]
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  - conf/atal/JongZRRSZFCV18
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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]
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  - conf/robocup/SchmuckerZV18
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Robin Schmucker, Chenghui Zhou, Manuela Veloso:
Multimodal Movement Activity Recognition Using a Robot's Proprioceptive Sensors. RoboCup 2018: 299-310

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