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Bhuwan Dhingra

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

Overview


My research focuses on natural language processing (NLP), machine learning and knowledge representation.

Current Appointments & Affiliations


Assistant Professor of Computer Science · 2021 - Present Computer Science, Trinity College of Arts & Sciences

Recent Publications


Close or Cloze? Assessing the Robustness of Large Language Models to Adversarial Perturbations via Word Recovery

Conference Proceedings International Conference on Computational Linguistics Coling · January 1, 2025 The current generation of large language models (LLMs) show a surprising degree of robustness to adversarial perturbations, but it is unclear when these models implicitly recover the original text and when they rely on surrounding context. To isolate this ... Cite

TO TRUST OR NOT TO TRUST? ENHANCING LARGE LANGUAGE MODELS' SITUATED FAITHFULNESS TO EXTERNAL CONTEXTS

Conference 13th International Conference on Learning Representations Iclr 2025 · January 1, 2025 Large Language Models (LLMs) are often augmented with external contexts, such as those used in retrieval-augmented generation (RAG). However, these contexts can be inaccurate or intentionally misleading, leading to conflicts with the model's internal knowl ... Cite

Real-time Factuality Assessment from Adversarial Feedback

Conference Proceedings of the Annual Meeting of the Association for Computational Linguistics · January 1, 2025 We show that existing evaluations for assessing the factuality of news from conventional sources, such as claims on fact-checking websites, result in high accuracies over time for LLM-based detectors-even after their knowledge cutoffs. This suggests that r ... Cite
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Recent Grants


CC* Integration-Large: Scaling Scientific Workloads on Distributed Commodity GPUs and Storage through Campus-level RDMA Networking

ResearchCollaborating Investigator · Awarded by National Science Foundation · 2025 - 2027

III: Medium: Ask the Experts: Generating Question-Answer Pairs for Addressing Information Deficits about Vaccines

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2022 - 2026

Machine Learning for Automated Composite Data Curation and Predictive Design of Hybrid Composites with Optimized Properties

ResearchCo-Principal Investigator · Awarded by Eaton Corporation · 2024 - 2026

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Education, Training & Certifications


Carnegie Mellon University · 2020 Ph.D.

External Links


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