Shashank Sonkar

According to our database, Shashank Sonkar authored at least 24 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Atomic Learning Objectives Labeling: A High-Resolution Approach for Physics Education.

Naiming Liu, Shashank Sonkar, Debshila Basu Mallick, Richard G. Baraniuk, Zhongzhou Chen

CoRR, 2024

LLM-based Cognitive Models of Students with Misconceptions.

Shashank Sonkar, Xinghe Chen, Naiming Liu, Richard G. Baraniuk, Mrinmaya Sachan

CoRR, 2024

MalAlgoQA: A Pedagogical Approach for Evaluating Counterfactual Reasoning Abilities.

Naiming Liu, Shashank Sonkar, Myco Le, Richard G. Baraniuk

CoRR, 2024

Many-Shot Regurgitation (MSR) Prompting.

Shashank Sonkar, Richard G. Baraniuk

CoRR, 2024

Regressive Side Effects of Training Language Models to Mimic Student Misconceptions.

Shashank Sonkar, Naiming Liu, Richard G. Baraniuk

CoRR, 2024

Code Soliloquies for Accurate Calculations in Large Language Models.

Shashank Sonkar, Xinghe Chen, Myco Le, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Pedagogical Alignment of Large Language Models.

Shashank Sonkar, Kangqi Ni, Sapana Chaudhary, Richard G. Baraniuk

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education.

Shashank Sonkar, Naiming Liu, Myco Le, Richard G. Baraniuk

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning.

Shashank Sonkar, Naiming Liu, Richard G. Baraniuk

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Leveraging Large Language Models for Next-Generation Educational Technologies.

Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Automated Long Answer Grading with RiceChem Dataset.

Shashank Sonkar, Kangqi Ni, Lesa Tran Lu, Kristi Kincaid, John S. Hutchinson, Richard G. Baraniuk

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits.

Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions.

Naiming Liu, Shashank Sonkar, Zichao Wang, Simon Woodhead, Richard G. Baraniuk

CoRR, 2023

Deduction under Perturbed Evidence: Probing Student Simulation Capabilities of Large Language Models.

Shashank Sonkar, Richard G. Baraniuk

CoRR, 2023

Investigating the Role of Feed-Forward Networks in Transformers Using Parallel Attention and Feed-Forward Net Design.

Shashank Sonkar, Richard G. Baraniuk

CoRR, 2023

CLASS Meet SPOCK: An Education Tutoring Chatbot based on Learning Science Principles.

Shashank Sonkar, Lucy Liu, Debshila Basu Mallick, Richard G. Baraniuk

CoRR, 2023

MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages.

Shashank Sonkar, Zichao Wang, Richard G. Baraniuk

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles.

Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Deduction under Perturbed Evidence: Probing Student Simulation (Knowledge Tracing) Capabilities of Large Language Models.

Shashank Sonkar, Richard G. Baraniuk

Proceedings of the Workshop on Empowering Education with LLMs, 2023

2022

A Visual Tour Of Current Challenges In Multimodal Language Models.

Shashank Sonkar, Naiming Liu, Richard G. Baraniuk

CoRR, 2022

2021

NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion.

Shashank Sonkar, Arzoo Katiyar, Richard G. Baraniuk

CoRR, 2021

NePTuNe: Neural Powered Tucker Networkfor Knowledge Graph Completion.

Shashank Sonkar, Arzoo Katiyar, Richard G. Baraniuk

Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

2020

qDKT: Question-centric Deep Knowledge Tracing.

Shashank Sonkar, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk

Proceedings of the 13th International Conference on Educational Data Mining, 2020

Attention Word Embedding.

Shashank Sonkar, Andrew E. Waters, Richard G. Baraniuk

Proceedings of the 28th International Conference on Computational Linguistics, 2020