PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder
Fuente:
arXiv
Guardado en:
| Autores principales: | Sun, Yiqun, Huang, Qiang, Tung, Anthony K. H., Yu, Jun |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A General Framework for Producing Interpretable Semantic Text Embeddings
por: Sun, Yiqun, et al.
Publicado: (2024)
por: Sun, Yiqun, et al.
Publicado: (2024)
Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning
por: Sun, Yiqun, et al.
Publicado: (2025)
por: Sun, Yiqun, et al.
Publicado: (2025)
One Swallow Does Not Make a Summer: Understanding Semantic Structures in Embedding Spaces
por: Sun, Yandong, et al.
Publicado: (2025)
por: Sun, Yandong, et al.
Publicado: (2025)
Can Cross Encoders Produce Useful Sentence Embeddings?
por: Ananthakrishnan, Haritha, et al.
Publicado: (2025)
por: Ananthakrishnan, Haritha, et al.
Publicado: (2025)
Don't Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space Transformation
por: Feng, Yingchaojie, et al.
Publicado: (2025)
por: Feng, Yingchaojie, et al.
Publicado: (2025)
QIME: Constructing Interpretable Medical Text Embeddings via Ontology-Grounded Questions
por: Tang, Yixuan, et al.
Publicado: (2026)
por: Tang, Yixuan, et al.
Publicado: (2026)
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias
por: Huang, Nannan, et al.
Publicado: (2024)
por: Huang, Nannan, et al.
Publicado: (2024)
Leveraging In-Context Learning for Political Bias Testing of LLMs
por: Haller, Patrick, et al.
Publicado: (2025)
por: Haller, Patrick, et al.
Publicado: (2025)
Assessing Political Bias in Large Language Models
por: Rettenberger, Luca, et al.
Publicado: (2024)
por: Rettenberger, Luca, et al.
Publicado: (2024)
When Bigger Isn't Better: A Comprehensive Fairness Evaluation of Political Bias in Multi-News Summarisation
por: Huang, Nannan, et al.
Publicado: (2026)
por: Huang, Nannan, et al.
Publicado: (2026)
PRISM: A Personality-Driven Multi-Agent Framework for Social Media Simulation
por: Lu, Zhixiang, et al.
Publicado: (2025)
por: Lu, Zhixiang, et al.
Publicado: (2025)
Representation Bias in Political Sample Simulations with Large Language Models
por: Qi, Weihong, et al.
Publicado: (2024)
por: Qi, Weihong, et al.
Publicado: (2024)
Uncovering the Bigger Picture: Comprehensive Event Understanding Via Diverse News Retrieval
por: Tang, Yixuan, et al.
Publicado: (2025)
por: Tang, Yixuan, et al.
Publicado: (2025)
On the Inevitability of Left-Leaning Political Bias in Aligned Language Models
por: Hagendorff, Thilo
Publicado: (2025)
por: Hagendorff, Thilo
Publicado: (2025)
Perceived Political Bias in LLMs Reduces Persuasive Abilities
por: DiGiuseppe, Matthew, et al.
Publicado: (2026)
por: DiGiuseppe, Matthew, et al.
Publicado: (2026)
BiasLab: Toward Explainable Political Bias Detection with Dual-Axis Annotations and Rationale Indicators
por: Solaiman, Kma
Publicado: (2025)
por: Solaiman, Kma
Publicado: (2025)
Steering Towards Fairness: Mitigating Political Bias in LLMs
por: Nadeem, Afrozah, et al.
Publicado: (2025)
por: Nadeem, Afrozah, et al.
Publicado: (2025)
On the Relationship between Truth and Political Bias in Language Models
por: Fulay, Suyash, et al.
Publicado: (2024)
por: Fulay, Suyash, et al.
Publicado: (2024)
Minding the Politeness Gap in Cross-cultural Communication
por: Machino, Yuka, et al.
Publicado: (2025)
por: Machino, Yuka, et al.
Publicado: (2025)
Mechanistic Interpretability of Socio-Political Frames in Language Models
por: Asghari, Hadi, et al.
Publicado: (2025)
por: Asghari, Hadi, et al.
Publicado: (2025)
Read Between the Lines: A Benchmark for Uncovering Political Bias in Bangla News Articles
por: Lia, Nusrat Jahan, et al.
Publicado: (2025)
por: Lia, Nusrat Jahan, et al.
Publicado: (2025)
Framing Political Bias in Multilingual LLMs Across Pakistani Languages
por: Nadeem, Afrozah, et al.
Publicado: (2025)
por: Nadeem, Afrozah, et al.
Publicado: (2025)
Online Anti-sexist Speech: Identifying Resistance to Gender Bias in Political Discourse
por: Dutta, Aditi, et al.
Publicado: (2025)
por: Dutta, Aditi, et al.
Publicado: (2025)
IDRBench: Interactive Deep Research Benchmark
por: Feng, Yingchaojie, et al.
Publicado: (2026)
por: Feng, Yingchaojie, et al.
Publicado: (2026)
KCLarity at SemEval-2026 Task 6: Encoder and Zero-Shot Approaches to Political Evasion Detection
por: Sage, Archie, et al.
Publicado: (2026)
por: Sage, Archie, et al.
Publicado: (2026)
Benchmarking Gender and Political Bias in Large Language Models
por: Yang, Jinrui, et al.
Publicado: (2025)
por: Yang, Jinrui, et al.
Publicado: (2025)
Comparing Styles across Languages: A Cross-Cultural Exploration of Politeness
por: Havaldar, Shreya, et al.
Publicado: (2023)
por: Havaldar, Shreya, et al.
Publicado: (2023)
Political-LLM: Large Language Models in Political Science
por: Li, Lincan, et al.
Publicado: (2024)
por: Li, Lincan, et al.
Publicado: (2024)
Validating Political Position Predictions of Arguments
por: Robinson, Jordan, et al.
Publicado: (2026)
por: Robinson, Jordan, et al.
Publicado: (2026)
Large Means Left: Political Bias in Large Language Models Increases with Their Number of Parameters
por: Exler, David, et al.
Publicado: (2025)
por: Exler, David, et al.
Publicado: (2025)
Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification
por: Elbouanani, Akram, et al.
Publicado: (2025)
por: Elbouanani, Akram, et al.
Publicado: (2025)
Bias Beyond Borders: Political Ideology Evaluation and Steering in Multilingual LLMs
por: Nadeem, Afrozah, et al.
Publicado: (2026)
por: Nadeem, Afrozah, et al.
Publicado: (2026)
Political Bias in LLMs: Unaligned Moral Values in Agent-centric Simulations
por: Münker, Simon
Publicado: (2024)
por: Münker, Simon
Publicado: (2024)
High Risk of Political Bias in Black Box Emotion Inference Models
por: Plisiecki, Hubert, et al.
Publicado: (2024)
por: Plisiecki, Hubert, et al.
Publicado: (2024)
Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis
por: Jenny, David F., et al.
Publicado: (2023)
por: Jenny, David F., et al.
Publicado: (2023)
Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
por: Faulborn, Mats, et al.
Publicado: (2025)
por: Faulborn, Mats, et al.
Publicado: (2025)
Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models
por: Yang, Kai-Cheng, et al.
Publicado: (2023)
por: Yang, Kai-Cheng, et al.
Publicado: (2023)
PolBiX: Detecting LLMs' Political Bias in Fact-Checking through X-phemisms
por: Jakob, Charlott, et al.
Publicado: (2025)
por: Jakob, Charlott, et al.
Publicado: (2025)
They want to pretend not to understand: The Limits of Current LLMs in Interpreting Implicit Content of Political Discourse
por: Paci, Walter, et al.
Publicado: (2025)
por: Paci, Walter, et al.
Publicado: (2025)
Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification
por: Ng, Lynnette Hui Xian, et al.
Publicado: (2024)
por: Ng, Lynnette Hui Xian, et al.
Publicado: (2024)
Ejemplares similares
-
A General Framework for Producing Interpretable Semantic Text Embeddings
por: Sun, Yiqun, et al.
Publicado: (2024) -
Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning
por: Sun, Yiqun, et al.
Publicado: (2025) -
One Swallow Does Not Make a Summer: Understanding Semantic Structures in Embedding Spaces
por: Sun, Yandong, et al.
Publicado: (2025) -
Can Cross Encoders Produce Useful Sentence Embeddings?
por: Ananthakrishnan, Haritha, et al.
Publicado: (2025) -
Don't Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space Transformation
por: Feng, Yingchaojie, et al.
Publicado: (2025)