Image de couverture de livre

Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kostikova, Aida, Paassen, Benjamin, Beese, Dominik, Pütz, Ole, Wiedemann, Gregor, Eger, Steffen
Format:	Preprint
Publié:	2022
Sujets:	Computation and Language Machine Learning Social and Information Networks
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LLM Analysis of 150+ years of German Parliamentary Debates on Migration Reveals Shift from Post-War Solidarity to Anti-Solidarity in the Last Decade
par: Kostikova, Aida, et autres
Publié: (2025)

LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models
par: Kostikova, Aida, et autres
Publié: (2025)

Analysing Calls to Order in German Parliamentary Debates
par: Smirnova, Nina, et autres
Publié: (2026)

Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph
par: Nechakhin, Vladyslav, et autres
Publié: (2024)

NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers?
par: Leiter, Christoph, et autres
Publié: (2024)

Assessing LLM Text Detection in Educational Contexts: Does Human Contribution Affect Detection?
par: Gehring, Lukas, et autres
Publié: (2025)

GerAV: Towards New Heights in German Authorship Verification using Fine-Tuned LLMs on a New Benchmark
par: Kiefer, Lotta, et autres
Publié: (2026)

Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks
par: Chen, Yanran, et autres
Publié: (2025)

ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models
par: Belouadi, Jonas, et autres
Publié: (2022)

PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics
par: Larionov, Daniil, et autres
Publié: (2024)

PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation
par: Leiter, Christoph, et autres
Publié: (2024)

USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation
par: Belouadi, Jonas, et autres
Publié: (2022)

LLM-based multi-agent poetry generation in non-cooperative environments
par: Zhang, Ran, et autres
Publié: (2024)

BatchGEMBA: Token-Efficient Machine Translation Evaluation with Batched Prompting and Prompt Compression
par: Larionov, Daniil, et autres
Publié: (2025)

Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Models
par: Pustet, Milena, et autres
Publié: (2024)

Is there really a Citation Age Bias in NLP?
par: Nguyen, Hoa, et autres
Publié: (2024)

Evaluating LLM-Driven Summarisation of Parliamentary Debates with Computational Argumentation
par: Cunningham, Eoghan, et autres
Publié: (2026)

Syntactic Language Change in English and German: Metrics, Parsers, and Convergences
par: Chen, Yanran, et autres
Publié: (2024)

FGR-ColBERT: Identifying Fine-Grained Relevance Tokens During Retrieval
par: Jarolím, Antonín, et autres
Publié: (2026)

TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement Learning
par: Greisinger, Christian, et autres
Publié: (2026)

Debate to Align: Reliable Entity Alignment through Two-Stage Multi-Agent Debate
par: Wang, Cunda, et autres
Publié: (2026)

AFMRL: Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning in E-commerce
par: Zhang, Biao, et autres
Publié: (2026)

Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics
par: Zhang, Weijia, et autres
Publié: (2024)

Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation
par: Zhang, Ran, et autres
Publié: (2023)

BMX: Boosting Natural Language Generation Metrics with Explainability
par: Leiter, Christoph, et autres
Publié: (2022)

ABCD-LINK: Annotation Bootstrapping for Cross-Document Fine-Grained Links
par: Basch, Serwar, et autres
Publié: (2025)

Mining United Nations General Assembly Debates
par: Grzyb, Mateusz, et autres
Publié: (2024)

Zhyper: Factorized Hypernetworks for Conditioned LLM Fine-Tuning
par: Abdalla, M. H. I., et autres
Publié: (2025)

Fine-Grained Table Retrieval Through the Lens of Complex Queries
par: Kosiuk, Wojciech, et autres
Publié: (2026)

FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning
par: Sun, Chaojie, et autres
Publié: (2026)

Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval
par: Knappich, Valentin, et autres
Publié: (2026)

How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs
par: Zhang, Ran, et autres
Publié: (2024)

Detecting Calls to Action in Multimodal Content: Analysis of the 2021 German Federal Election Campaign on Instagram
par: Achmann-Denkler, Michael, et autres
Publié: (2024)

Emotionally Charged, Logically Blurred: AI-driven Emotional Framing Impairs Human Fallacy Detection
par: Chen, Yanran, et autres
Publié: (2025)

Enhancing Academic Paper Recommendations Using Fine-Grained Knowledge Entities and Multifaceted Document Embeddings
par: Xi, Haixu, et autres
Publié: (2026)

FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG
par: Hong, Yubin, et autres
Publié: (2025)

DS@GT at Touché: Large Language Models for Retrieval-Augmented Debate
par: Miyaguchi, Anthony, et autres
Publié: (2025)

AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ
par: Belouadi, Jonas, et autres
Publié: (2023)

Stance Detection on Social Media with Fine-Tuned Large Language Models
par: Gül, İlker, et autres
Publié: (2024)

PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning
par: Rieger, Jonas, et autres
Publié: (2024)