Publications

Publications

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

2025

  • 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]

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]

2023

  • 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]

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