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researcher

Mircea Lungu

3 papers hereh-index 218 citations3 works total

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

author position
  • middle author2

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

fields
  • cs.CL1
  • cs.HC1
  • cs.SE1

identity via Semantic Scholar / OpenAlex

most citedGuidelines for Empirical Studies in Software Engineering involving Large Language Models

3 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

cs.HC2025

User Misconceptions of LLM-Based Conversational Programming Assistants

Gabrielle O'Brien, Antonio Pedro Santos Alves, Sebastian Baltes +3

Programming assistants powered by large language models (LLMs) have become widely available, with conversational assistants such as ChatGPT particularly accessible to novice progra…

cs.SE2025★ 3 cited

Guidelines for Empirical Studies in Software Engineering involving Large Language Models

Sebastian Baltes, Florian Angermeir, Chetan Arora +19

Large Language Models (LLMs) are widely used in software engineering (SE) research and practice, yet their non-determinism, opaque training data, and rapidly evolving models threat…

cs.CL2023★ 1 cited

Large Language Models for Difficulty Estimation of Foreign Language Content with Application to Language Learning

Michalis Vlachos, Mircea Lungu, Yash Raj Shrestha +1

We use large language models to aid learners enhance proficiency in a foreign language. This is accomplished by identifying content on topics that the user is interested in, and th…

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