Copertina

Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Chalkidis, Ilias
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Llama meets EU: Investigating the European Political Spectrum through the Lens of LLMs
di: Chalkidis, Ilias, et al.
Pubblicazione: (2024)

Decoding Alignment: A Critical Survey of LLM Development Initiatives through Value-setting and Data-centric Lens
di: Chalkidis, Ilias
Pubblicazione: (2025)

United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections
di: von der Heyde, Leah, et al.
Pubblicazione: (2024)

Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump's Presidential Campaigns
di: Chalkidis, Ilias, et al.
Pubblicazione: (2025)

Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning
di: Saggau, Daniel, et al.
Pubblicazione: (2023)

Persona-driven Simulation of Voting Behavior in the European Parliament with Large Language Models
di: Kreutner, Maximilian, et al.
Pubblicazione: (2025)

Studying Lobby Influence in the European Parliament
di: Suresh, Aswin, et al.
Pubblicazione: (2023)

Who Would Chatbots Vote For? Political Preferences of ChatGPT and Gemini in the 2024 European Union Elections
di: Haman, Michael, et al.
Pubblicazione: (2024)

Affective Polarization across European Parliaments
di: Evkoski, Bojan, et al.
Pubblicazione: (2025)

Brainrot: Deskilling and Addiction are Overlooked AI Risks
di: Chalkidis, Ilias, et al.
Pubblicazione: (2026)

LLMs as Meta-Reviewers' Assistants: A Case Study
di: Hossain, Eftekhar, et al.
Pubblicazione: (2024)

When Do Language Models Endorse Limitations on Human Rights Principles?
di: Samway, Keenan, et al.
Pubblicazione: (2026)

MultiLegalPile: A 689GB Multilingual Legal Corpus
di: Niklaus, Joel, et al.
Pubblicazione: (2023)

From Citations to Criticality: Predicting Legal Decision Influence in the Multilingual Swiss Jurisprudence
di: Stern, Ronja, et al.
Pubblicazione: (2024)

dVoting: Fast Voting for dLLMs
di: Feng, Sicheng, et al.
Pubblicazione: (2026)

Learning from Convenience Samples: A Case Study on Fine-Tuning LLMs for Survey Non-response in the German Longitudinal Election Study
di: Holtdirk, Tobias, et al.
Pubblicazione: (2025)

LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
di: Niklaus, Joel, et al.
Pubblicazione: (2023)

Building A Coding Assistant via the Retrieval-Augmented Language Model
di: Li, Xinze, et al.
Pubblicazione: (2024)

Benchmarking Contextual and Paralinguistic Reasoning in Speech-LLMs: A Case Study with In-the-Wild Data
di: Wang, Qiongqiong, et al.
Pubblicazione: (2025)

Mediated discourse at the European Parliament
Pubblicazione: (2023)

Supercharging Agenda Setting Research: The ParlaCAP Dataset of 28 European Parliaments and a Scalable Multilingual LLM-Based Classification
di: Pungeršek, Taja Kuzman, et al.
Pubblicazione: (2026)

A Year of the DSA Transparency Database: What it (Does Not) Reveal About Platform Moderation During the 2024 European Parliament Election
di: Shahi, Gautam Kishore, et al.
Pubblicazione: (2025)

Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI
di: Asano, Yuya, et al.
Pubblicazione: (2025)

CALYPSO: LLMs as Dungeon Masters' Assistants
di: Zhu, Andrew, et al.
Pubblicazione: (2023)

User-Assistant Bias in LLMs
di: Pan, Xu, et al.
Pubblicazione: (2025)

Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT Systems
di: Shahnazaryan, Lia, et al.
Pubblicazione: (2025)

Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval
di: Yang, Jinrui, et al.
Pubblicazione: (2023)

Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors
di: Liu, Xin, et al.
Pubblicazione: (2025)

Translation Asymmetry in LLMs as a Data Augmentation Factor: A Case Study for 6 Romansh Language Varieties
di: Vamvas, Jannis, et al.
Pubblicazione: (2026)

Speech LLMs are Contextual Reasoning Transcribers
di: Deng, Keqi, et al.
Pubblicazione: (2026)

Elderly-Contextual Data Augmentation via Speech Synthesis for Elderly ASR
di: Lee, Minsik, et al.
Pubblicazione: (2026)

Improving Grammatical Error Correction via Contextual Data Augmentation
di: Wang, Yixuan, et al.
Pubblicazione: (2024)

MiniF2F in Rocq: Automatic Translation Between Proof Assistants -- A Case Study
di: Viennot, Jules, et al.
Pubblicazione: (2025)

A Case Study on the Effectiveness of LLMs in Verification with Proof Assistants
di: Bayazıt, Barış, et al.
Pubblicazione: (2025)

BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, Rerankers and LLMs
di: Aarab, Ilias
Pubblicazione: (2026)

SafeChat: A Framework for Building Trustworthy Collaborative Assistants and a Case Study of its Usefulness
di: Srivastava, Biplav, et al.
Pubblicazione: (2025)

Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time
di: Raza, Shaina, et al.
Pubblicazione: (2023)

Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis
di: Mok, Jisoo, et al.
Pubblicazione: (2025)

Sirius: Contextual Sparsity with Correction for Efficient LLMs
di: Zhou, Yang, et al.
Pubblicazione: (2024)

Probabilistic Guarantees for Reducing Contextual Hallucinations in LLMs
di: Rautenberg, Nils, et al.
Pubblicazione: (2026)