Premtim Sahitaj
Premtim Sahitaj has 5 papers in our library, in 2026, most of them on Information retrieval & search, Vision & language; often with Max Upravitelev, Vera Schmitt, Veronika Solopova.
OpenAlex · ORCID · h-index 5 · 37 works · 88 citations OpenAlex, 2026-10-14
📄 5 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11043
Affiliations
Fields, topics and concepts
📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksSocial Sciences · 5 worksArts and Humanities · 4 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 4 worksSociology and Political Science · 4 worksInformation Systems · 2 worksComputer Vision and Pattern Recognition · 1 workGeneral Social Sciences · 1 work
🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workVision & language · 1 work
Works by year
2020s
Papers
- From Articles to Premises: Building PrimeFacts, an Extraction Methodology and Resource for Fact-Checking Evidence (2026 · 1 citation)
Professional fact-checks contain detailed evidence and reasoning, but this material is buried in free-form prose, so automated verification systems rarely reuse it. - Retrieving Climate Change Disinformation by Narrative (2026 · 1 citation)
Climate disinformation narratives are usually detected by classifiers built on fixed taxonomies, so new storylines go unnoticed. - Fine-tuning with Hierarchical Prompting for Robust Propaganda Classification Across Annotation Schemas (2026)
Detecting propaganda in short social media posts is difficult. The texts are brief and noisy, and human annotators often disagree. Existing taxonomies list rhetorical devices such as loaded language. The authors instead propose an intent-based scheme that groups techniques by the strategic goal behind a message, such… - hermeneutichools at SemEval-2026 Task 4: Multiperspectivity as a Resource for Narrative Similarity Prediction (2026)
The paper addresses SemEval-2026 Task 4 (Track A). Each item is an anchor story and two candidate stories, and a system must pick the candidate closer to the anchor. The authors treat the existence of several valid readings of a narrative as something a model can use, not a defect of the benchmark. - Take It All: Ensemble Retrieval for Multimodal Evidence Aggregation (2026)
Fact-checking claims that pair text with images, such as miscaptioned photos or fabricated infographics, requires analyzing both modalities.
Co-authors here
- Max Upravitelev ×5
- Vera Schmitt ×5
- Veronika Solopova ×5
- Ariana Sahitaj ×4
- Charlott Jakob ×4
- Sebastian Möller ×4
- Iffat Maab
- Jing Yang
- Junichi Yamagishi
Venues
- Fact Extraction and VERification Workshop (FEVER): FEVER 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Language Resources and Evaluation Conference (LREC): LREC 2026
- Workshop on Ecology, Environment, and Natural Language Processing: Workshop on Ecology, Environment, and Natural Language Processing 2026
- International Workshop on Semantic Evaluation (SemEval): SemEval 2026
Cited by
Updated
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