8 papers
Who Judges the Frame? Auditing Multimodal LLM Judges for News Framing Across Event-Level Perspectives
Antonela Tommasel, Markus Schedl
News coverage of major world events is shaped not only by what is reported, but also by how events are framed through text, images and their combination. At the same time, Large La…
Measuring Human-Like Bias in LLMs? A Critique of Human-Derived Bias Constructs in LLM Evaluation
Antonela Tommasel, Markus Schedl
Researchers increasingly use human-derived bias constructs to study Large Language Models (LLMs), including social-cognitive constructs such as implicit bias and stereotype activat…
SENSESHIFT: Continuous Sentiment-Controlled Text Generation via Encoder-based Mask Infilling
Shahed Masoudian, Markus Frohmann, Emmanouil Karystinaios +2
Recent controllable text generation (CTG) for sentiment control has largely focused on decoder-based large language models, making causal attention the dominant paradigm. While eff…
What We Observe as LLM Behavior Can Be a Side-effect of Inference Backend
Shahed Masoudian, Passant Shafaei, Monorama Swain +1
Benchmark scores are reported as properties of a model, yet the inference framework used to produce them, such as HuggingFace, vLLM, or Ollama, are considered non-influential and t…
A Comparative Study on Affective Cues in Text Embeddings Across Psychological Emotion Theories
Fabio Ciani, Harald Schweiger, Emilia Parada-Cabaleiro +1
Text encoders are known for their utility in natural language processing, as they are able to efficiently compress inputs into dense vectors while preserving semantics. These model…
Facet-Level Tracing of Evidence Uncertainty and Hallucination in RAG
Passant Elchafei, Monorama Swain, Shahed Masoudian +1
Retrieval-Augmented Generation (RAG) aims to reduce hallucination by grounding answers in retrieved evidence, yet hallucinated answers remain common even when relevant documents ar…
H-RAG at SemEval-2026 Task 8: Hierarchical Parent-Child Retrieval for Multi-Turn RAG Conversations
Passant Elchafei, Hossam Emam, Mohamed Alansary +2
We present H-RAG, our submission to SemEval-2026 Task 8 (MTRAGEval), addressing both Task A (Retrieval) and Task C (Generation with Retrieved Passages). Task A evaluates standalone…
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
Shahed Masoudian, Cornelia Volaucnik, Markus Schedl +1
Bias mitigation of Language Models has been the topic of many studies with a recent focus on learning separate modules like adapters for on-demand debiasing. Besides optimizing for…