Publications

For a full list of my publications, visit my Google Scholar page.

2026

Multilingual Idioms in Sentences and Conversations Across High-, Medium-, and Low-Resource Languages
[Accepted to ACL 2026]
Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models
N. Gangwar, S. Bhat, and N. Kani
[Accepted to LREC 2026]
Examining Students’ Code Comprehension with LLMs in Block-and Text-Based Programming
S. Zhang, T. V. Earle-Randell, P. Ganapathy Prasad, Z. Liu, Y. Shi, S. Bhat, M. Israel, and A. F. Botelho
[SIGCSE 2026]
Investigating High School Students’ Code Comprehension and Strategy Use Across Block-Based and Text-Based Programming
S. Zhang, P. Ganapathy Prasad, T. V. Earle-Randell, Y. Shi, S. Bhat, and M. Israel
[SIGCSE 2026]

Learning From Online Instructional Videos Considering Video Presentation Modes, Technological Comfort, and Students Characteristics
M. Perry, R. F. L. Azevedo, G. Henricks, R. W. Crues, and S. Bhat
[International Journal of Human–Computer Interaction]
Medical Students’ Perception of Automated Note Feedback After Simulated Encounters
S. K. Bansal, M. Yadav, J. Zhou, R. A. Ebert‐Allen, R. M. Klute, W. F. Bond, and S. Bhat
[The Clinical Teacher]
An LLM-Based Framework for Simulating, Classifying, and Correcting Students’ Programming Knowledge with the SOLO Taxonomy
S. Zhang, P. S. Meshram, P. Ganapathy Prasad, M. Israel, and S. Bhat
[SIGCSE 2025]

Long-Form Analogy Evaluation Challenge
B. Bhavya, C. Palaguachi, Y. Zhou, S. Bhat, and C. Zhai
[INLG 2024]
Intermediate Fine-Tuning Improves Mathematical Reasoning in Smaller Models
N. Gangwar, S. Bhat, and N. Kani
[Workshop on Mathematical Reasoning and AI at NeurIPS’24]
Enhancing Language Models with Idiomatic Reasoning
J. Zhou, Z. Zeng, H. Gong, and S. Bhat
[COLM 2024]
CLASP: Cross-modal Alignment Using Pre-trained Unimodal Models
J. Zhou, Z. Zeng, H. Gong, and S. Bhat
[Findings of ACL 2024]
Non-compositional Expression Generation and its Continual Learning
J. Zhou and S. Bhat
[Findings of ACL 2024]
No Context Needed: Contextual Quandary In Idiomatic Reasoning With Pre-Trained Language Models
K. Cheng and S. Bhat
[NAACL 2024]
Analego: Let’s build analogies together!
Bhavya, S. Sehgal, S. Bhat and C. Zhai
[AI4ED 2024]

IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions Z. Zeng, K. Cheng, S. Nanniyur, J. Zhou, and S. Bhat [EMNLP 2023]
Unified Representation for Non-compositional and Compositional Expressions Z. Zeng and S. Bhat [EMNLP 2023 Findings]
Non-compositional Expression Generation Based on Curriculum Learning and Continual Learning J. Zhou, and S. Bhat [EMNLP 2023 Findings]
CRISP: Curriculum based Sequential neural decoders for Polar code family S. A. Hebbar, V. V. Nadkarni, A. V. Makkuva, S. Bhat, S. Oh, and P. Viswanath [ICML 2023]
CLCL: Non-compositional Expression Detection with Contrastive Learning and Curriculum Learning J. Zhou, Z. Zeng and S. Bhat [ACL 2023]
Automating Patient Note Feedback using Natural Language Processing: Examining Scoring Reliability and Feasibility of an Automated Short Answer Grading System W. Bond, J. Zhou, S. Bhat, R. Ebert-Allen, Y. S. Park, and R. Yudkowsky [RIME 2023]
The Importance of Diverse User Goals When Designing an Automated COVID Risk Counselor J. E. Cox, M. Hasegawa-Johnson, S. Bhat, M. Umashankar, H. C. Lane and D. Morrow [International Symposium on Human Factors and Ergonomics in Health Care 2023]