Copertina

APM: Evaluating Style Personalization in LLMs with Arbitrary Preference Mappings

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Spohn, Philipp, Girrbach, Leander, Akata, Zeynep
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Align-then-Unlearn: Embedding Alignment for LLM Unlearning
di: Spohn, Philipp, et al.
Pubblicazione: (2025)

DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation
di: Bini, Massimo, et al.
Pubblicazione: (2025)

A Systematic Study of In-the-Wild Model Merging for Large Language Models
di: Hitit, Oğuz Kağan, et al.
Pubblicazione: (2025)

Sparse Autoencoders are Topic Models
di: Girrbach, Leander, et al.
Pubblicazione: (2025)

Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models
di: Girrbach, Leander, et al.
Pubblicazione: (2025)

Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
di: Girrbach, Leander, et al.
Pubblicazione: (2024)

Are Reasoning LLMs Robust to Interventions on Their Chain-of-Thought?
di: von Recum, Alexander, et al.
Pubblicazione: (2026)

A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models
di: Girrbach, Leander, et al.
Pubblicazione: (2025)

Reference-Free Rating of LLM Responses via Latent Information
di: Girrbach, Leander, et al.
Pubblicazione: (2025)

SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions
di: Bader, Jessica, et al.
Pubblicazione: (2025)

Do LLMs Experience an Internal Polylogue? Investigating Reasoning through the Lens of Personas
di: Herrmann, Nils A., et al.
Pubblicazione: (2026)

WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs
di: Thede, Lukas, et al.
Pubblicazione: (2025)

Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
di: Zhao, Siyan, et al.
Pubblicazione: (2025)

PACIFIC: Can LLMs Discern the Traits Influencing Your Preferences? Evaluating Personality-Driven Preference Alignment in LLMs
di: Zhao, Tianyu, et al.
Pubblicazione: (2026)

SemioLLM: Evaluating Large Language Models for Diagnostic Reasoning from Unstructured Clinical Narratives in Epilepsy
di: Dani, Meghal, et al.
Pubblicazione: (2024)

Personalized Benchmarking: Evaluating LLMs by Individual Preferences
di: Garbacea, Cristina, et al.
Pubblicazione: (2026)

Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency
di: Huang, Yiran, et al.
Pubblicazione: (2026)

ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
di: Bini, Massimo, et al.
Pubblicazione: (2024)

Learning to Generate Text in Arbitrary Writing Styles
di: Khan, Aleem, et al.
Pubblicazione: (2023)

Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study
di: Huang, Yiran, et al.
Pubblicazione: (2025)

Evaluating Style-Personalized Text Generation: Challenges and Directions
di: Jangra, Anubhav, et al.
Pubblicazione: (2025)

Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers
di: Huang, Yiran, et al.
Pubblicazione: (2026)

Preference-Aware Rubric Learning for Personalized Evaluation
di: Qiu, Yilun, et al.
Pubblicazione: (2026)

HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs
di: Shen, Jocelyn, et al.
Pubblicazione: (2024)

MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative Samples
di: Xie, Shuo, et al.
Pubblicazione: (2024)

Evaluating and Aligning CodeLLMs on Human Preference
di: Yang, Jian, et al.
Pubblicazione: (2024)

Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences
di: Wu, Shuchen, et al.
Pubblicazione: (2024)

Steering Large Language Models with Register Analysis for Arbitrary Style Transfer
di: Yang, Xinchen, et al.
Pubblicazione: (2025)

Drawing Conclusions from Draws: Rethinking Preference Semantics in Arena-Style LLM Evaluation
di: Tang, Raphael, et al.
Pubblicazione: (2025)

Context-Aware Multimodal Pretraining
di: Roth, Karsten, et al.
Pubblicazione: (2024)

Style Transfer with Multi-iteration Preference Optimization
di: Liu, Shuai, et al.
Pubblicazione: (2024)

Style-Specific Neurons for Steering LLMs in Text Style Transfer
di: Lai, Wen, et al.
Pubblicazione: (2024)

Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity
di: Hao, Yupu, et al.
Pubblicazione: (2025)

Personalizing LLMs with Binary Feedback: A Preference-Corrected Optimization Framework
di: Ma, Xilai, et al.
Pubblicazione: (2026)

POPI: Personalizing LLMs via Optimized Natural Language Preference Inference
di: Chen, Yizhuo, et al.
Pubblicazione: (2025)

MemLoRA: Distilling Expert Adapters for On-Device Memory Systems
di: Bini, Massimo, et al.
Pubblicazione: (2025)

COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
di: Kim, Sanghwan, et al.
Pubblicazione: (2024)

PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling
di: Xie, Haojie, et al.
Pubblicazione: (2024)

Formalizing Style in Personal Narratives
di: Cortal, Gustave, et al.
Pubblicazione: (2025)

Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs
di: Kabir, Mohsinul, et al.
Pubblicazione: (2025)