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Bhuwan Dhingra

Assistant Professor of Computer Science
Computer Science
308 Research Drive, Durham, NC 27708

Selected Publications

Navigating the Ethical Landmines of ChatGPT: Implications of Intelligent Chatbots in Plastic Surgery Clinical Practice.

Journal Article Plast Reconstr Surg Glob Open · September 2023 ChatGPT is a cutting-edge language model developed by OpenAI with the potential to impact all facets of plastic surgery from research to clinical practice. New applications for ChatGPT are emerging at a rapid pace in both the scientific literature and popu ... Full text Link to item Cite

Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations

Conference Conference on Human Factors in Computing Systems - Proceedings · April 19, 2023 Human data labeling is an important and expensive task at the heart of supervised learning systems. Hierarchies help humans understand and organize concepts. We ask whether and how concept hierarchies can inform the design of annotation interfaces to impro ... Full text Cite

DIFFQG: Generating Questions to Summarize Factual Changes

Conference EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference · January 1, 2023 Identifying the difference between two versions of the same article is useful to update knowledge bases and to understand how articles evolve. Paired texts occur naturally in diverse situations: reporters write similar news stories and maintainers of autho ... Cite

Learning the Legibility of Visual Text Perturbations

Conference EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference · January 1, 2023 Many adversarial attacks in NLP perturb inputs to produce visually similar strings ('ergo' → 'εrgo') which are legible to humans but degrade model performance. Although preserving legibility is a necessary condition for text perturbation, little work has b ... Cite

Time-Aware Language Models as Temporal Knowledge Bases

Journal Article Transactions of the Association for Computational Linguistics · March 18, 2022 AbstractMany facts come with an expiration date, from the name of the President to the basketball team Lebron James plays for. However, most language models (LMs) are trained on snapshots of data collected a ... Full text Open Access Cite

Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models

Conference NLP-Power 2022 - 1st Workshop on Efficient Benchmarking in NLP, Proceedings of the Workshop · January 1, 2022 With many real-world applications of Natural Language Processing (NLP) comprising of long texts, there has been a rise in NLP benchmarks that measure the accuracy of models that can handle longer input sequences. However, these benchmarks do not consider t ... Cite

ASQA: Factoid Questions Meet Long-Form Answers

Conference Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 · January 1, 2022 An abundance of datasets and availability of reliable evaluation metrics have resulted in strong progress in factoid question answering (QA). This progress, however, does not easily transfer to the task of long-form QA, where the goal is to answer question ... Cite

Siamese BERT for authorship verification

Conference CEUR Workshop Proceedings · January 1, 2021 The PAN 2021 authorship verification (AV) challenge focuses on determining if two texts are written by the same author or not, specifically when faced with new, unseen, authors. In our approach, we construct a Siamese network initialized with pretrained BE ... Cite