Shashank Sonkar

According to our database, Shashank Sonkar authored at least 40 papers between 2020 and 2026.

Collaborative distances:

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

2026

Misconception Acquisition Dynamics in Large Language Models.

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

CoRR, April, 2026

When Can We Trust LLM Graders? Calibrating Confidence for Automated Assessment.

Robinson Ferrer, Damla Turgut, Zhongzhou Chen, Shashank Sonkar

CoRR, March, 2026

Circuit Complexity of Hierarchical Knowledge Tracing and Implications for Log-Precision Transformers.

Naiming Liu, Richard G. Baraniuk, Shashank Sonkar

CoRR, March, 2026

Can LLMs Model Incorrect Student Reasoning? A Case Study on Distractor Generation.

Yanick Zengaffinen, Andreas Opedal, Donya Rooein, KV Aditya Srivatsa, Shashank Sonkar, Mrinmaya Sachan

CoRR, March, 2026

Scalable Generation and Validation of Isomorphic Physics Problems with GenAI.

Naiming Liu, Leo Murch, Spencer Moore, Tong Wan, Shashank Sonkar, Richard G. Baraniuk, Zhongzhou Chen

CoRR, February, 2026

MetaCLASS: Metacognitive Coaching for Learning with Adaptive Self-regulation Support.

Naiming Liu, Richard G. Baraniuk, Shashank Sonkar

CoRR, February, 2026

FoundationalASSIST: An Educational Dataset for Foundational Knowledge Tracing and Pedagogical Grounding of LLMs.

Eamon Worden, Cristina Heffernan, Neil T. Heffernan, Shashank Sonkar

CoRR, February, 2026

MalruleLib: Large-Scale Executable Misconception Reasoning with Step Traces for Modeling Student Thinking in Mathematics.

Xinghe Chen, Naiming Liu, Shashank Sonkar

CoRR, January, 2026

CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models.

Naiming Liu, Richard G. Baraniuk, Shashank Sonkar

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Do LLMs Make Mistakes Like Students? Exploring Natural Alignment between Language Models and Human Error Patterns.

Naiming Liu, Shashank Sonkar, Richard G. Baraniuk

CoRR, February, 2025

The Imitation Game for Educational AI.

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

CoRR, February, 2025

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

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

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Large Language Models for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward.

Sankalan Pal Chowdhury, Nico Daheim, Ekaterina Kochmar, Jakub Macina, Donya Rooein, Mrinmaya Sachan, Shashank Sonkar

Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications, 2025

Turing-Like Test for Personalized Educational AI.

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

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Many-Shot Regurgitation Prompting.

Shashank Sonkar, Naiming Liu, Richard G. Baraniuk

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Do LLMs Make Mistakes Like Students? Exploring Natural Alignments Between Language Models and Human Error Patterns.

Naiming Liu, Shashank Sonkar, Richard G. Baraniuk

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

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 A. Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew S. 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