Imagen de Portada

Fine-Grained Interpretation of Political Opinions in Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hu, Jingyu, Yang, Mengyue, Du, Mengnan, Liu, Weiru
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning
por: Hu, Jingyu, et al.
Publicado: (2024)

ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups
por: Hu, Jingyu, et al.
Publicado: (2024)

A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
por: Shu, Dong, et al.
Publicado: (2025)

Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning
por: Hu, Jingyu, et al.
Publicado: (2025)

Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis
por: Li, Daoyang, et al.
Publicado: (2024)

SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models
por: He, Zirui, et al.
Publicado: (2025)

FaithLM: Towards Faithful Explanations for Large Language Models
por: Chuang, Yu-Neng, et al.
Publicado: (2024)

Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning
por: Shu, Dong, et al.
Publicado: (2024)

FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models
por: Weng, Zixuan, et al.
Publicado: (2026)

Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
por: Li, Zihao, et al.
Publicado: (2024)

Sparse is Enough in Fine-tuning Pre-trained Large Language Models
por: Song, Weixi, et al.
Publicado: (2023)

Binary Autoencoder for Mechanistic Interpretability of Large Language Models
por: Cho, Hakaze, et al.
Publicado: (2025)

InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
por: Hu, Yujia, et al.
Publicado: (2024)

PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models
por: Agiza, Ahmed, et al.
Publicado: (2024)

Dynamic Correction of Erroneous State Estimates via Diffusion Bayesian Exploration
por: Shi, Yiwei, et al.
Publicado: (2025)

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction
por: Kim, Junsol, et al.
Publicado: (2023)

PAT: Pruning-Aware Tuning for Large Language Models
por: Liu, Yijiang, et al.
Publicado: (2024)

Rethinking Interpretability in the Era of Large Language Models
por: Singh, Chandan, et al.
Publicado: (2024)

AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents
por: Du, Shangheng, et al.
Publicado: (2025)

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
por: Jin, Mingyu, et al.
Publicado: (2024)

Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering
por: Shi, Yiwei, et al.
Publicado: (2025)

Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
por: Zhao, Haiyan, et al.
Publicado: (2024)

Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework
por: Weng, Jiaqi, et al.
Publicado: (2025)

Boosting Large Language Models with Mask Fine-Tuning
por: Zhang, Mingyuan, et al.
Publicado: (2025)

Scaling Sparse Fine-Tuning to Large Language Models
por: Ansell, Alan, et al.
Publicado: (2024)

Natural Language Reinforcement Learning
por: Feng, Xidong, et al.
Publicado: (2024)

Hyperbolic Fine-Tuning for Large Language Models
por: Yang, Menglin, et al.
Publicado: (2024)

Benchmarking Gender and Political Bias in Large Language Models
por: Yang, Jinrui, et al.
Publicado: (2025)

Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generation
por: Fang, Yingying, et al.
Publicado: (2024)

Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders
por: Shu, Dong, et al.
Publicado: (2025)

Liger: Linearizing Large Language Models to Gated Recurrent Structures
por: Lan, Disen, et al.
Publicado: (2025)

Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
por: Nirmal, Ayushi, et al.
Publicado: (2024)

SelfIE: Self-Interpretation of Large Language Model Embeddings
por: Chen, Haozhe, et al.
Publicado: (2024)

TracrBench: Generating Interpretability Testbeds with Large Language Models
por: Thurnherr, Hannes, et al.
Publicado: (2024)

Improving Large Language Models with Concept-Aware Fine-Tuning
por: Chen, Michael K., et al.
Publicado: (2025)

Aligning Large Language Models via Fine-grained Supervision
por: Xu, Dehong, et al.
Publicado: (2024)

Crafting Efficient Fine-Tuning Strategies for Large Language Models
por: Oliver, Michael, et al.
Publicado: (2024)

Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study
por: Bouchard, Dylan, et al.
Publicado: (2026)

Large Language Model Unlearning
por: Yao, Yuanshun, et al.
Publicado: (2023)

All Language Models Large and Small
por: Chen, Zhixun, et al.
Publicado: (2024)