Publications

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Nikhita Vedula, Dushyanta Dhyani, Bryan Wang, Shervin Malmasi. Scaling E-Commerce Attribute Extraction with Parallel Decoding. AKBC 2026, 2026.

Theodore Glavas, Nikhita Vedula, Dushyanta Dhyani, Antonios Valkanas, Yilun Zhu, Shervin Malmasi. Intra-Prompt Parallel Decoding for Common-Context Question Answering. EMNLP 2026, 2026.

Yilun Zhu, Yuan Zhuang, Nikhita Vedula, Dushyanta Dhyani, Shaoyuan Xu, Moyan Li, Mohsen Bayati, Bryan Wang, Shervin Malmasi. Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context. ACL 2026, 2026.

Theodore Glavas, Nikhita Vedula, Dushyanta Dhyani, Yilun Zhu, Shervin Malmasi. Breaking the Autoregressive Chain: Hyper-Parallel Decoding for Efficient LLM-Based Attribute Value Extraction. Findings of ACL 2026, 2026.

Nikhita Vedula*, Dushyanta Dhyani*, Laleh Jalali, Boris N. Oreshkin, Mohsen Bayati, Shervin Malmasi. Quantile regression with large language models for price prediction. Findings of ACL 2025, 2025.

Dushyanta Dhyani. Boosting Supervised Neural Relation Extraction with Distant Supervision. Electronic Thesis or Dissertation. Ohio State University, 2018., 2018.

Dushyanta Dhyani. OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers Using Piecewise Convolutional Neural Networks. In Proceedings of The 12th International Workshop on Semantic Evaluation, 2018.

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Dushyanta Dhyani, Pravar Mahajan. Tutorial - A Convolutional Encoder Model for Neural Machine Translation. NIPS Highlights (MLTrain), Learn How to code a paper with state of the art frameworks, 2017.

Code Poster Tutorial Workshop Azure Notebook

Dushyanta Dhyani. OhioState at IJCNLP-2017 Task 4: Exploring Neural Architectures for Multilingual Customer Feedback Analysis. In Proceedings of the IJCNLP 2017, Shared Tasks , AFNLP, 2017.

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