18 papers · 1 filter
Ontological Instability and Statistical Amplification: The Paradox of "Humanizing" LLM-Generated Text
Claudiu Creanga, Liviu Dinu
Supervised AI-text detectors report high benchmark accuracy, but it is not clear what their decisions are based on. We analyze a RoBERTa-based detector under semantic, structural,…
Unmasking Propaganda: A Comparative Analysis of Masked and Causal Language Models
Claudiu Creanga, Ioachim Lihor, Liviu P. Dinu
Propaganda detection is an essential task in natural language processing (NLP), particularly in the context of manipulative political communications. However, identifying specific…
UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI
Marius Micluta-Campeanu, Claudiu Creanga, Ana-Maria Bucur +2
This paper describes the approach of the UniBuc team in tackling the SemEval 2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials. We used SOLAR Instruct, wi…
LLM-as-a-Judge for Low-Resource Languages: Adapting Ragas and Comparative Ranking for Romanian
Claudiu Creanga, Liviu P. Dinu
Evaluating Retrieval-Augmented Generation (RAG) systems remains a challenge for Low-Resource Languages (LRLs), where standard reference-based metrics fall short. This paper investi…
Dissonant ballerinas and crafty carrots: a comparative multi-modal analysis of Italian brain rot
Anca Dinu, Andra-Maria Florescu, Marius Micluta-Campeanu +3
This paper presents a comparative multi-modal analysis of Italian and Romanian brain rot memes, investigating the factors that contribute to its appeal and the linguistic and cultu…
Who Warmed the Archives? LLMs Overestimate Historical Warmth
Claudiu Creanga, Liviu P. Dinu
Historical archives are an under-used source for extending the instrumental climate record backward in time, and LLMs offer a way to extract the indices climatologists derive by ha…
The Rashomon Wikipedia: A Data-Perspectivist Analysis of Divergent Historical Narratives
Claudiu Creanga, Liviu P. Dinu, Anca Dinu
Wikipedia aims to provide a unified, neutral record of history, yet its independent language editions often function as distinct epistemic communities, creating divergent narrative…
Larry Caused the Car to Stop, But the Model Didn't Notice: Transformer Blindness to the M-Heuristic
Stefania Butnaru, Claudiu Creanga
Modern transformer models excel at capturing semantic relationships through sentence embeddings, yet their ability to perform pragmatic reasoning remains understudied. This paper i…
Fine-Tuning Models for Biomedical Relation Extraction
Claudiu Creanga, Liviu P. Dinu, Daniela Gifu
Next-Generation Sequencing has revolutionized the study of genetic mutations, enabling large-scale investigations into their roles in disease development. However, extracting meani…
Back to Back with a Copy: A Computational Analysis of AI-Generated Visual Contemporary Art Pastiches
Anca Dinu, Andreiana Mihail, Andra-Maria Florescu +2
The aim of this paper is twofold. First, it investigates whether newer generative models are getting better at pastiching contemporary artworks. Second, it explores the consistency…
RALS: Resources and Baselines for Romanian Automatic Lexical Simplification
Fabian Anghel, Petru Theodor Cristea, Claudiu Creanga +1
We introduce the first dataset that jointly covers both lexical complexity prediction (LCP) annotations and lexical simplification (LS) for Romanian, along with a comparison of lex…
The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
Anca Dinu, Andreiana Mihail, Andra-Maria Florescu +1
This study explores artificial visual creativity, focusing on ChatGPT's ability to generate new images intentionally pastiching original artworks such as paintings, drawings, sculp…
Few-shot text-based emotion detection
Teodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu
This paper describes the approach of the Unibuc - NLP team in tackling the SemEval 2025 Workshop, Task 11: Bridging the Gap in Text-Based Emotion Detection. We mainly focused on ex…
Qwen it detect machine-generated text?
Teodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu
This paper describes the approach of the Unibuc - NLP team in tackling the Coling 2025 GenAI Workshop, Task 1: Binary Multilingual Machine-Generated Text Detection. We explored bot…
Transformer and Hybrid Deep Learning Based Models for Machine-Generated Text Detection
Teodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu
This paper describes the approach of the UniBuc - NLP team in tackling the SemEval 2024 Task 8: Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detec…
Transformer based neural networks for emotion recognition in conversations
Claudiu Creanga, Liviu P. Dinu
This paper outlines the approach of the ISDS-NLP team in the SemEval 2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF). For Subtask 1 we obtained a we…
Automated Text Identification Using CNN and Training Dynamics
Claudiu Creanga, Liviu Petrisor Dinu
We used Data Maps to model and characterize the AuTexTification dataset. This provides insights about the behaviour of individual samples during training across epochs (training dy…
Designing NLP Systems That Adapt to Diverse Worldviews
Claudiu Creanga, Liviu P. Dinu
Natural Language Inference (NLI) is foundational for evaluating language understanding in AI. However, progress has plateaued, with models failing on ambiguous examples and exhibit…