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Shashank Sonkar
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2020 – today
- 2024
- [c13]Shashank Sonkar, Kangqi Ni, Lesa Tran Lu
, Kristi Kincaid, John S. Hutchinson, Richard G. Baraniuk:
Automated Long Answer Grading with RiceChem Dataset. AIED (1) 2024: 163-176 - [c12]Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk:
Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits. AIED (1) 2024: 309-323 - [c11]Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden:
Leveraging Large Language Models for Next-Generation Educational Technologies. EDM 2024 - [c10]Shashank Sonkar, Kangqi Ni, Sapana Chaudhary, Richard G. Baraniuk:
Pedagogical Alignment of Large Language Models. EMNLP (Findings) 2024: 13641-13650 - [c9]Shashank Sonkar, Naiming Liu, Richard G. Baraniuk:
Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning. EMNLP (Findings) 2024: 15543-15553 - [c8]Shashank Sonkar, Naiming Liu, MyCo Le, Richard G. Baraniuk:
MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education. EMNLP (Findings) 2024: 15554-15567 - [c7]Shashank Sonkar
Code Soliloquies for Accurate Calculations in Large Language Models. LAK 2024: 828-835 - [i16]Shashank Sonkar, Kangqi Ni, Sapana Chaudhary, Richard G. Baraniuk:
Pedagogical Alignment of Large Language Models. CoRR abs/2402.05000 (2024) - [i15]Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk:
Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits. CoRR abs/2404.14301 (2024) - [i14]Shashank Sonkar, Kangqi Ni, Lesa Tran Lu, Kristi Kincaid, John S. Hutchinson, Richard G. Baraniuk:
Automated Long Answer Grading with RiceChem Dataset. CoRR abs/2404.14316 (2024) - [i13]Shashank Sonkar, Naiming Liu, Richard G. Baraniuk:
Regressive Side Effects of Training Language Models to Mimic Student Misconceptions. CoRR abs/2404.15156 (2024) - [i12]Shashank Sonkar, Richard G. Baraniuk:
Many-Shot Regurgitation (MSR) Prompting. CoRR abs/2405.08134 (2024) - [i11]Naiming Liu, Shashank Sonkar, Myco Le, Richard G. Baraniuk:
MalAlgoQA: A Pedagogical Approach for Evaluating Counterfactual Reasoning Abilities. CoRR abs/2407.00938 (2024) - 2023
- [c6]Shashank Sonkar, Richard G. Baraniuk:
Deduction under Perturbed Evidence: Probing Student Simulation (Knowledge Tracing) Capabilities of Large Language Models. LLM@AIED 2023: 26-33 - [c5]Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk:
CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles. EMNLP (Findings) 2023: 1941-1961 - [c4]Shashank Sonkar, Zichao Wang, Richard G. Baraniuk:
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages. SustaiNLP 2023: 219-226 - [i10]Shashank Sonkar, Lucy Liu, Debshila Basu Mallick, Richard G. Baraniuk:
CLASS Meet SPOCK: An Education Tutoring Chatbot based on Learning Science Principles. CoRR abs/2305.13272 (2023) - [i9]Shashank Sonkar, Richard G. Baraniuk:
Investigating the Role of Feed-Forward Networks in Transformers Using Parallel Attention and Feed-Forward Net Design. CoRR abs/2305.13297 (2023) - [i8]Shashank Sonkar, Richard G. Baraniuk:
Deduction under Perturbed Evidence: Probing Student Simulation Capabilities of Large Language Models. CoRR abs/2305.14507 (2023) - [i7]Shashank Sonkar, Myco Le, Xinghe Chen, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk:
Code Soliloquies for Accurate Calculations in Large Language Models. CoRR abs/2309.12161 (2023) - [i6]Naiming Liu, Shashank Sonkar, Zichao Wang, Simon Woodhead, Richard G. Baraniuk:
Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions. CoRR abs/2310.02439 (2023) - 2022
- [i5]Shashank Sonkar, Naiming Liu, Richard G. Baraniuk:
A Visual Tour Of Current Challenges In Multimodal Language Models. CoRR abs/2210.12565 (2022) - [i4]Shashank Sonkar, Zichao Wang, Richard G. Baraniuk:
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages. CoRR abs/2212.09723 (2022) - 2021
- [c3]Shashank Sonkar, Arzoo Katiyar, Richard G. Baraniuk:
NePTuNe: Neural Powered Tucker Networkfor Knowledge Graph Completion. IJCKG 2021: 177-180 - [i3]Shashank Sonkar, Arzoo Katiyar, Richard G. Baraniuk:
NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion. CoRR abs/2104.07824 (2021) - 2020
- [c2]Shashank Sonkar, Andrew E. Waters, Richard G. Baraniuk:
Attention Word Embedding. COLING 2020: 6894-6902 - [c1]Shashank Sonkar, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk:
qDKT: Question-centric Deep Knowledge Tracing. EDM 2020 - [i2]Shashank Sonkar, Andrew E. Waters, Andrew S. Lan, Phillip J. Grimaldi, Richard G. Baraniuk:
qDKT: Question-centric Deep Knowledge Tracing. CoRR abs/2005.12442 (2020) - [i1]Shashank Sonkar, Andrew E. Waters, Richard G. Baraniuk:
Attention Word Embedding. CoRR abs/2006.00988 (2020)
Coauthor Index
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