Code Soliloquies for Accurate Calculations in Large Language ModelsSonkar, S, Chen, X, Le, M, Liu, N, Basu Mallick, D
& Baraniuk, R 2024, . in
LAK 2024 Conference Proceedings - 14th International Conference on Learning Analytics and Knowledge. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 828-835, 14th International Conference on Learning Analytics and Knowledge, LAK 2024, Kyoto, Japan,
3/18/24.
https://doi.org/10.1145/3636555.3636889 Expanded Multiplexing on Sensor-Constrained Microfluidic Partitioning SystemsKota, PK, Vu, HA, LeJeune, D, Han, M, Syed, S
, Baraniuk, RG & Drezek, RA 2023, ,
Analytical Chemistry, vol. 95, no. 48, pp. 17458-17466.
https://doi.org/10.1021/acs.analchem.3c01176 Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning ResearchRitter, S, Heffernan, N, Williams, JJ, Lomas, D, Bicknell, K, Roschelle, J, Motz, B, McNamara, D
, Baraniuk, R, Basu Mallick, D, Kizilcec, R, Baker, R, Fancsali, S & Murphy, A 2023, . in
L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale. L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale, Association for Computing Machinery, Inc, pp. 254-256, 10th ACM Conference on Learning @ Scale, L@S 2023, Copenhagen, Denmark,
7/20/23.
https://doi.org/10.1145/3573051.3593397 Unlocking Financial Success: Empowering Higher Ed Students and Developing Financial Literacy Interventions at ScaleBradford, BC, Basu Mallick, D
& Baraniuk, RG 2023, . in
L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale. L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale, Association for Computing Machinery, Inc, pp. 363-367, 10th ACM Conference on Learning @ Scale, L@S 2023, Copenhagen, Denmark,
7/20/23.
https://doi.org/10.1145/3573051.3596188 Secure Education and Learning Research at Scale with OpenStax KineticBasu Mallick, D, Bradford, BC
& Baraniuk, R 2023, . in
L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale. L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale, Association for Computing Machinery, Inc, pp. 360-362, 10th ACM Conference on Learning @ Scale, L@S 2023, Copenhagen, Denmark,
7/20/23.
https://doi.org/10.1145/3573051.3596187 Evaluating generative networks using Gaussian mixtures of image featuresLuzi, L, Marrero, CO, Wynar, N
, Baraniuk, RG & Henry, MJ 2023, . in
Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023. Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023, Institute of Electrical and Electronics Engineers Inc. pp. 279-288, 23rd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, United States,
1/3/23.
https://doi.org/10.1109/WACV56688.2023.00036 A Blessing of Dimensionality in Membership Inference through RegularizationTan, J, LeJeune, D, Mason, B, Javadi, H & Baraniuk, RG 2023, , Proceedings of Machine Learning Research, vol. 206, pp. 10968-10993.
Towards the Future of AI-Augmented Human Tutoring in Math LearningAleven, V
, Baraniuk, R, Brunskill, E, Crossley, S, Demszky, D, Fancsali, S, Gupta, S, Koedinger, K, Piech, C, Ritter, S, Thomas, DR, Woodhead, S & Xing, W 2023, . in N Wang, G Rebolledo-Mendez, V Dimitrova, N Matsuda & OC Santos (eds),
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Proceedings. Communications in Computer and Information Science, vol. 1831 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 26-31, 24th International Conference on Artificial Intelligence in Education , AIED 2023, Tokyo, Japan,
7/3/23.
https://doi.org/10.1007/978-3-031-36336-8_3 SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision BoundariesHumayun, AI, Balestriero, R, Balakrishnan, G
& Baraniuk, R 2023, . in
Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2023-June, Institute of Electrical and Electronics Engineers Inc. pp. 3789-3798, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, Canada,
6/18/23.
https://doi.org/10.1109/CVPR52729.2023.00369 A Case Study Using Large Language Models to Generate Metadata for Math QuestionsBainbridge, K, Walkington, C, Ibrahim, A, Zhong, I, Mallick, DB, Washington, J & Baraniuk, R 2023, , CEUR Workshop Proceedings, vol. 3487, pp. 34-42.
MultiQG-TI: Towards Question Generation from Multi-modal SourcesWang, Z & Baraniuk, RG 2023, . in E Kochmar, J Burstein, A Horbach, A Horbach, A Horbach, R Laarmann-Quante, N Madnani, A Tack, V Yaneva, Z Yuan, T Zesch & T Zesch (eds), BEA 2023 - 18th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings of the Workshop. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), pp. 682-691, 18th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2023, Toronto, Canada, 7/13/23.
Summary of “Towards the Future of AI-augmented Human Tutoring in Math Learning”Thomas, DR, Aleven, V, Baraniuk, R, Brunskill, E, Crossley, S, Demszky, D, Fancsali, S, Gupta, S, Ritter, S, Woodhead, S, Xing, W & Koedinger, K 2023, , CEUR Workshop Proceedings, vol. 3491.
Unsupervised Learning of Sampling Distributions for Particle FiltersGama, F, Zilberstein, N, Sevilla, M
, Baraniuk, RG & Segarra, S 2023, ,
IEEE Transactions on Signal Processing, vol. 71, pp. 3852-3866.
https://doi.org/10.1109/TSP.2023.3324221 MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource LanguagesSonkar, S, Wang, Z & Baraniuk, RG 2023, . in NS Moosavi, I Gurevych, Y Hou, G Kim, JK Young, T Schuster & A Agrawal (eds), 4th Workshop on Simple and Efficient Natural Language Processing, SustaiNLP 2023 - Proceedings of the Workshop. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), pp. 219-226, 4th Workshop on Simple and Efficient Natural Language Processing, SustaiNLP 2023, Toronto, Canada, 7/13/23.
A Probabilistic Framework for Pruning Transformers Via a Finite Admixture of KeysNguyen, TM, Nguyen, T, Bui, L, Do, H, Nguyen, DK, Le, DD, Tran-The, H, Ho, N, Osher, SJ
& Baraniuk, RG 2023, . in
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2023-June, Institute of Electrical and Electronics Engineers Inc. 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, Rhodes Island, Greece,
6/4/23.
https://doi.org/10.1109/ICASSP49357.2023.10096107 CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science PrinciplesSonkar, S, Mallick, DB, Liu, N & Baraniuk, RG 2023, . in Findings of the Association for Computational Linguistics: EMNLP 2023. Findings of the Association for Computational Linguistics: EMNLP 2023, Association for Computational Linguistics (ACL), pp. 1941-1961, 2023 Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, Singapore, 12/6/23.
Situating AI (and big data) in the learning sciences: Moving toward large-scale learning sciencesMcNamara, DS, Arner, T, Butterfuss, R, Mallick, DB, Lan, AS, Roscoe, RD, Roediger, HL
& Baraniuk, RG 2022, . in
Artificial Intelligence in STEM Education: The Paradigmatic Shifts in Research, Education, and Technology. CRC Press, pp. 289-307.
https://doi.org/10.1201/9781003181187-23 NeuroView-RNN: It's About TimeBarberan, C, Alemmohammad, S, Liu, N, Balestriero, R
& Baraniuk, R 2022, . in
Proceedings of 2022 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 1683-1697, 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022, Virtual, Online, Korea, Republic of,
6/21/22.
https://doi.org/10.1145/3531146.3533224