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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 Duke Appointments & Affiliations


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

Recent Scholarly Works


Generalizability of Large Language Model-Based Agents: A Comprehensive Survey

Journal article ACM Computing Surveys · July 31, 2026 Large Language Model (LLM)-based agents have recently emerged as a new paradigm that extends the capabilities of LLMs beyond text generation to dynamic interaction with external environments. A critical challenge lies in ensuri ... Full text Cite

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
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Recent Grants


A Science of Verification For Measuring Human Effort in AI Systems

ResearchPrincipal Investigator · Awarded by Defense Advanced Research Projects Agency · 2026 - 2029

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

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2022 - 2027

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

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Education


Carnegie Mellon University · 2020 Ph.D.

External Links


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