Rohan Bhambhoria

About Me

I have completed my PhD in the Ingenuity Labs Research Institute at Queen’s University under the supervision of Prof. Xiaodan Zhu.

I also work with Vector Institute and the Conflict Analytics Lab (CAL) on various projects. My research interests are: Interpretability, Natural Language Processing, Machine Learning, and Deep Learning primarily for high-stakes decision making.

I have interned at Thomson Reuters Labs in Toronto, and Rakuten Americas (Rakuten Institute of Technology). I have also completed a Mitacs Accelerate internship with the Innovation Boost Zone, Toronto. Earlier, I was a Google Summer of Code contributor.

I have published in top AI/NLP venues (ACL, EMNLP, AAAI), and journals such as JMIR.

Publications

  1. Rohan Bhambhoria, Lei Chen and Xiaodan Zhu “A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification”, ACL 2023 (Main Conference)
  2. Chu-Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu. “Legally Enforceable Hate Speech Detection for Public Forums”, Findings of the Empirical Methods in Natural Language Processing 2023 (Findings of EMNLP).
  3. Jonathan Li, Will Aitken, Rohan Bhambhoria and Xiaodan Zhu “Prefix Propagation: Parameter-Efficient Tuning for Long Sequences”, ACL 2023 (Main Conference)
  4. Rohan Bhambhoria, Chu-Fei Luo, Xiaodan Zhu and Samuel Dahan “Prototype-Based Interpretability for Legal Citation Prediction”, Findings of ACL 2023
  5. Elham Dolatabadi, Diana Moyano, Michael Bales, Sofija Spasojevic, Rohan Bhambhoria, Junaid Bhatti, Shyamolima Debnath, Nicholas Hoell, Xin Li, Celine Leng, Sasha Nanda, Jad Saab, Esmat Sahak, Fanny Sie, Sara Uppal, Nirma Khatri Vadlamudi, Antoaneta Vladimirova, Artur Yakimovich, Xiaoxue Yang, Sedef Akinli Kocak, Angela M Cheung “Using Social Media to Help Understand Long COVID Patient-Reported Health Outcomes: A Natural Language Processing Approach”, Journal of Medical Internet Research 2023 (JMIR)
  6. Samuel Dahan, Rohan Bhambhoria, David Liang, Xiaodan Zhu. Lawyers Should Not Trust AI: A call for an Open-source Legal Language Model. 36th International Conference on Legal Knowledge and Information Systems 2023 (JURIX).
  7. Rohan Bhambhoria, Hui Liu, Samuel Dahan and Xiaodan Zhu “Interpretable Low-Resource Legal Decision Making”, AAAI 2022 (Main Conference; Social Impact Track)
  8. Samuel Dahan, Rohan Bhambhoria, Simon Townsend and Xiaodan Zhu “EU Courts and Data Science: The Case of Trademark Likelihood of Confusion”, Hart Publishing 2022 (Book Chapter)
  9. Rohan Bhambhoria, Jad Saab, Sara Uppal, Xin Li, Artur Yakimovich, Junaid Bhatti, Nirma Khatri, Diana Moyano, Elham Dolatabadi and Sedef Akinli Kocak “Towards Providing Clinical Insights on Long Covid from Twitter Data”, Multimodal AI in Healthcare, Springer Nature (Book Chapter)
  10. Jonathan Li, Rohan Bhambhoria, Xiaodan Zhu “Parameter-Efficient Legal Domain Adaptation”, EMNLP NLLP 2022 (Workshop)
  11. Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu “Evaluating Explanation Correctness in Legal Decision Making”, Canadian AI 2022 (Main Conference)
  12. Rohan Bhambhoria, Samuel Dahan and Xiaodan Zhu “Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction”, Canadian AI 2021 (Main Conference)
  13. Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Kocak and Elham Dolatabadi “A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature”, EMNLP-SDP 2020 (Workshop)
  14. Jason Lam, Rohan Bhambhoria, David Liang, Xiaodan Zhu and Samuel Dahan “The Gap between Deep Learning and Law: Predicting Employment Notice”, ICML LML 2020 (Workshop)
  15. Samuel Dahan, Xiaodan Zhu, Rohan Bhambhoria, Alizeh Alvi, Anton Rizor, Anna Xu, Daniel Moholia, Harindra Rajasekeran “AI-Powered Trademark Dispute Resolution” (Experts Opinion Comissioned by the European Union Intellectual Property Office)

Services

Program Committee Member

  1. EMNLP 2022, 2023
  2. ACL 2023
  3. EACL 2023
  4. AAAI 2023

Contact Me

Email: r.bhambhoria@queensu.ca