Cover Image

Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Reuver, Myrthe, Verberne, Suzan, Fokkens, Antske
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Few Hypocrites: Few-Shot Learning and Subtype Definitions for Detecting Hypocrisy Accusations in Online Climate Change Debates
by: Corral, Paulina Garcia, et al.
Published: (2024)

Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification
by: Eshuijs, Leon, et al.
Published: (2025)

On the Low-Rank Parametrization of Reward Models for Controlled Language Generation
by: Troshin, Sergey, et al.
Published: (2024)

Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection
by: Reuver, Myrthe, et al.
Published: (2025)

DefVerify: Do Hate Speech Models Reflect Their Dataset's Definition?
by: Khurana, Urja, et al.
Published: (2024)

Balancing the Scales: Reinforcement Learning for Fair Classification
by: Eshuijs, Leon, et al.
Published: (2024)

The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement
by: Kamp, Jonathan, et al.
Published: (2024)

Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies
by: Kamp, Jonathan, et al.
Published: (2025)

Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE
by: Dobrzeniecka, Alicja, et al.
Published: (2025)

Asking a Language Model for Diverse Responses
by: Troshin, Sergey, et al.
Published: (2025)

Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?
by: Khurana, Urja, et al.
Published: (2024)

Analyzing Cancer Patients' Experiences with Embedding-based Topic Modeling and LLMs
by: Ionescu, Teodor-Călin, et al.
Published: (2026)

Generate then Refine: Data Augmentation for Zero-shot Intent Detection
by: Lin, I-Fan, et al.
Published: (2024)

Undesirable Memorization in Large Language Models: A Survey
by: Satvaty, Ali, et al.
Published: (2024)

SPILL: Domain-Adaptive Intent Clustering based on Selection and Pooling with Large Language Models
by: Lin, I-Fan, et al.
Published: (2025)

MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection
by: Gera, Parush, et al.
Published: (2025)

Dataset Creation for Visual Entailment using Generative AI
by: Reijtenbach, Rob, et al.
Published: (2025)

Not All Subjectivity Is the Same! Defining Desiderata for the Evaluation of Subjectivity in NLP
by: Khurana, Urja, et al.
Published: (2026)

TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings
by: Hanley, Hans W. A., et al.
Published: (2023)

Biomedical Entity Linking for Dutch: Fine-tuning a Self-alignment BERT Model on an Automatically Generated Wikipedia Corpus
by: Hartendorp, Fons, et al.
Published: (2024)

The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs
by: Yazan, Mert, et al.
Published: (2024)

Improving RAG for Personalization with Author Features and Contrastive Examples
by: Yazan, Mert, et al.
Published: (2025)

LLMs Enable Bag-of-Texts Representations for Short-Text Clustering
by: Lin, I-Fan, et al.
Published: (2025)

LUMI: Unsupervised Intent Clustering with Multiple Pseudo-Labels
by: Lin, I-Fan, et al.
Published: (2025)

Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs
by: Troshin, Sergey, et al.
Published: (2025)

Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning
by: Taranukhin, Maksym, et al.
Published: (2024)

Generative Retrieval with Few-shot Indexing
by: Askari, Arian, et al.
Published: (2024)

SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media
by: Khiabani, Parisa Jamadi, et al.
Published: (2024)

Are Stereotypes Leading LLMs' Zero-Shot Stance Detection ?
by: Dubreuil, Anthony, et al.
Published: (2025)

Zero-Shot Conversational Stance Detection: Dataset and Approaches
by: Ding, Yuzhe, et al.
Published: (2025)

HealthcareNLP: where are we and what is next?
by: Han, Lifeng, et al.
Published: (2025)

Evaluation of Attribution Bias in Generator-Aware Retrieval-Augmented Large Language Models
by: Abolghasemi, Amin, et al.
Published: (2024)

Zero-Shot Stance Detection using Contextual Data Generation with LLMs
by: Mahmoudi, Ghazaleh, et al.
Published: (2024)

Chain of Stance: Stance Detection with Large Language Models
by: Ma, Junxia, et al.
Published: (2024)

Preregistered Belief Revision Contracts
by: Alqithami, Saad
Published: (2026)

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
by: Shi, Zhengliang, et al.
Published: (2025)

EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection
by: Ding, Daijun, et al.
Published: (2024)

MSME: A Multi-Stage Multi-Expert Framework for Zero-Shot Stance Detection
by: Zhang, Yuanshuo, et al.
Published: (2025)

FarExStance: Explainable Stance Detection for Farsi
by: Zarharan, Majid, et al.
Published: (2024)

Measuring Bias in a Ranked List using Term-based Representations
by: Abolghasemi, Amin, et al.
Published: (2024)