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

1 citations · 1 across the 1 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 like ChatGPT particularly accessible to novice programme…

cs.SE2025

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.