Copertina

Exploiting contextual information to improve stance detection in informal political discourse with LLMs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sucu, Arman Engin, Zhou, Yixiang, Nascimento, Mario A., Mullen, Tony
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence I.1.2
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis
di: Chen, Yiyi, et al.
Pubblicazione: (2024)

LLMs achieve adult human performance on higher-order theory of mind tasks
di: Street, Winnie, et al.
Pubblicazione: (2024)

AI-generated stories favour stability over change: homogeneity and cultural stereotyping in narratives generated by gpt-4o-mini
di: Rettberg, Jill Walker, et al.
Pubblicazione: (2025)

Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification
di: Perlo, Daniele, et al.
Pubblicazione: (2024)

Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent Actions
di: Marwitz, Florian Andreas, et al.
Pubblicazione: (2025)

LLM Performance Predictors: Learning When to Escalate in Hybrid Human-AI Moderation Systems
di: Bachar, Or, et al.
Pubblicazione: (2026)

When Can Human-AI Teams Outperform Individuals? Tight Bounds with Impossibility Guarantees
di: Guo, Dongxin, et al.
Pubblicazione: (2026)

Logic-Based Artificial Intelligence Algorithms Supporting Categorical Semantics
di: Wojtowicz, Ralph
Pubblicazione: (2025)

compar:IA: The French Government's LLM arena to collect French-language human prompts and preference data
di: Termignon, Lucie, et al.
Pubblicazione: (2026)

Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning
di: Puccioni, Laura, et al.
Pubblicazione: (2025)

Comparing the Performance of LLMs in RAG-based Question-Answering: A Case Study in Computer Science Literature
di: Dayarathne, Ranul, et al.
Pubblicazione: (2025)

A DbC Inspired Neurosymbolic Layer for Trustworthy Agent Design
di: Leoveanu-Condrei, Claudiu
Pubblicazione: (2025)

AI-Augmented LLMs Achieve Therapist-Level Responses in Motivational Interviewing
di: Huang, Yinghui, et al.
Pubblicazione: (2025)

When is dataset cartography ineffective? Using training dynamics does not improve robustness against Adversarial SQuAD
di: Mandal, Paul K.
Pubblicazione: (2025)

Measure what Matters: Psychometric Evaluation of AI with Situational Judgment Tests
di: Yost, Alexandra, et al.
Pubblicazione: (2025)

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits
di: Alomari, Ahmad, et al.
Pubblicazione: (2025)

Do LLMs Know What They Know? Measuring Metacognitive Efficiency with Signal Detection Theory
di: Cacioli, Jon-Paul
Pubblicazione: (2026)

LLMs Simulate Big Five Personality Traits: Further Evidence
di: Sorokovikova, Aleksandra, et al.
Pubblicazione: (2024)

Can LLMs Assess Personality? Validating Conversational AI for Trait Profiling
di: Matšenas, Andrius, et al.
Pubblicazione: (2026)

Reinforcement of Explainability of ChatGPT Prompts by Embedding Breast Cancer Self-Screening Rules into AI Responses
di: Khan, Yousef, et al.
Pubblicazione: (2024)

Emotion-Gradient Metacognitive RSI (Part I): Theoretical Foundations and Single-Agent Architecture
di: Ando, Rintaro
Pubblicazione: (2025)

Collective intelligence in science: direct elicitation of diverse information from experts with unknown information structure
di: Osipov, Alexey V., et al.
Pubblicazione: (2026)

Neuro-Symbolic Learning for Galois Groups: Unveiling Probabilistic Trends in Polynomials
di: Shaska, Elira, et al.
Pubblicazione: (2025)

Adaptive XAI in High Stakes Environments: Modeling Swift Trust with Multimodal Feedback in Human AI Teams
di: Fernando, Nishani, et al.
Pubblicazione: (2025)

SecureV2X: An Efficient and Privacy-Preserving System for Vehicle-to-Everything (V2X) Applications
di: Lee, Joshua, et al.
Pubblicazione: (2025)

Exponential Approximation Rates and Parameter Efficiency of Learnable Bernstein Activations
di: Albool, Ibrahim, et al.
Pubblicazione: (2026)

EvoIdeator: Evolving Scientific Ideas through Checklist-Grounded Reinforcement Learning
di: Sauter, Andreas, et al.
Pubblicazione: (2026)

NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach
di: Hiltmann, Torsten, et al.
Pubblicazione: (2025)

Assisting humans in complex comparisons: automated information comparison at scale
di: Yuen, Truman, et al.
Pubblicazione: (2024)

Understanding Syllogistic Reasoning in LLMs from Formal and Natural Language Perspectives
di: Poddar, Aheli, et al.
Pubblicazione: (2025)

PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models
di: Moradbeiki, Pardis, et al.
Pubblicazione: (2024)

AskSport: Web Application for Sports Question-Answering
di: Onofre, Enzo B, et al.
Pubblicazione: (2025)

How to Evaluate Medical AI
di: Kopanichuk, Ilia, et al.
Pubblicazione: (2025)

Towards Safer Chatbots: Automated Policy Compliance Evaluation of Custom GPTs
di: Rodriguez, David, et al.
Pubblicazione: (2025)

ReTreVal: Reasoning Tree with Validation -- A Hybrid Framework for Enhanced LLM Multi-Step Reasoning
di: HS, Abhishek, et al.
Pubblicazione: (2026)

Challenges and Opportunities of NLP for HR Applications: A Discussion Paper
di: Leidner, Jochen L., et al.
Pubblicazione: (2024)

Evaluating Large Language Models on Historical Health Crisis Knowledge in Resource-Limited Settings: A Hybrid Multi-Metric Study
di: Hasan, Mohammed Rakibul
Pubblicazione: (2026)

Comparative Analysis of AI Agent Architectures for Entity Relationship Classification
di: Berijanian, Maryam, et al.
Pubblicazione: (2025)

OEMA: Ontology-Enhanced Multi-Agent Collaboration Framework for Zero-Shot Clinical Named Entity Recognition
di: Tao, Xinli, et al.
Pubblicazione: (2025)

KGroups: A Versatile Univariate Max-Relevance Min-Redundancy Feature Selection Algorithm for High-dimensional Biological Data
di: Ebiele, Malick, et al.
Pubblicazione: (2026)