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Siddartha Khastgir

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.HC1
  • eess.SY1
ORCID 0000-0002-6476-2536

identity via Semantic Scholar / OpenAlex

most citedDomain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SY2025

Safety Analysis of eVTOL Operations based on STPA

Mariat James Elizebeth, Shufeng Chen, Halima El Badaoui +2

Electric Vertical Take-Off and Landing (eVTOL) aircraft are expected to be quieter and more cost-effective than helicopters, offering major economic and social benefits through imp…

cs.HC2025

Self-driving technologies need the help of the public: A narrative review of the evidence

Jonathan Smith, Siddartha Khastgir

If public trust is lost in a new technology early in its life cycle it can take much more time for the benefits of that technology to be realised. Eventually tens-of-millions of pe…

cs.CL2023★ 2 cited

Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain

Yun Tang, Antonio A. Bruto da Costa, Jason Zhang +3

Engineering knowledge-based (or expert) systems require extensive manual effort and domain knowledge. As Large Language Models (LLMs) are trained using an enormous amount of cross-…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.