Cover Image

The Assistant as a Privileged Persona: A canonical reference in cross-persona self-recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	G, Asvin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Simulation to Enaction: Post-trained language models recognize and react to their own generations
by: G., Asvin, et al.
Published: (2026)

Privilege Scores
by: Bothmann, Ludwig, et al.
Published: (2025)

PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants
by: Zhao, Zheng, et al.
Published: (2025)

PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies
by: Byrd, Morgan, et al.
Published: (2025)

Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods
by: Apicella, Andrea, et al.
Published: (2022)

Open Character Training: Shaping the Persona of AI Assistants through Constitutional AI
by: Maiya, Sharan, et al.
Published: (2025)

Coupled Training with Privileged Information and Unlabeled Data
by: Shi, Jiahao, et al.
Published: (2026)

Robust Conformal Prediction Using Privileged Information
by: Feldman, Shai, et al.
Published: (2024)

Rethinking Knowledge Transfer in Learning Using Privileged Information
by: Provodin, Danil, et al.
Published: (2024)

Provable Partially Observable Reinforcement Learning with Privileged Information
by: Cai, Yang, et al.
Published: (2024)

Privileged Information Distillation for Language Models
by: Penaloza, Emiliano, et al.
Published: (2026)

The Fundamental Limits of Least-Privilege Learning
by: Stadler, Theresa, et al.
Published: (2024)

Neurosymbolic Imitation Learning with Human Guidance: A Privileged Information Approach
by: Prabhakar, Nikhilesh, et al.
Published: (2026)

Longitudinal Risk Prediction in Mammography with Privileged History Distillation
by: Karimian, Banafsheh, et al.
Published: (2026)

Privileged Sensing Scaffolds Reinforcement Learning
by: Hu, Edward S., et al.
Published: (2024)

No More, No Less: Least-Privilege Language Models
by: Rauba, Paulius, et al.
Published: (2026)

Efficient Bias Mitigation Without Privileged Information
by: Zarlenga, Mateo Espinosa, et al.
Published: (2024)

Objective-Specific Privileged Bases via Full-Prefix Matryoshka Learning
by: Talukder, Arghamitra, et al.
Published: (2026)

Preventing Prompt Injection with Type-Directed Privilege Separation
by: Jacob, Dennis, et al.
Published: (2025)

Do Activation Verbalization Methods Convey Privileged Information?
by: Li, Millicent, et al.
Published: (2025)

Toward Privileged Foundation Models:LUPI for Accelerated and Improved Learning
by: Ding, Xueying, et al.
Published: (2026)

Gained in Translation: Privileged Pairwise Judges Enhance Multilingual Reasoning
by: Sutawika, Lintang, et al.
Published: (2026)

GATES: Self-Distillation under Privileged Context with Consensus Gating
by: Stein, Alex, et al.
Published: (2026)

Distilling Privileged Information for Dubins Traveling Salesman Problems with Neighborhoods
by: Shin, Min Kyu, et al.
Published: (2024)

Privileged Contrastive Pretraining for Multimodal Affect Modelling
by: Pinitas, Kosmas, et al.
Published: (2025)

Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access
by: Ebi, Daniel, et al.
Published: (2025)

PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025)

SCVCNet: Sliding cross-vector convolution network for cross-task and inter-individual-set EEG-based cognitive workload recognition
by: Wang, Qi, et al.
Published: (2023)

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
by: Liu, Chenxi, et al.
Published: (2025)

HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation
by: Ding, Ken
Published: (2026)

PersonaLedger: Generating Realistic Financial Transactions with Persona Conditioned LLMs and Rule Grounded Feedback
by: Yuan, Dehao, et al.
Published: (2026)

The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
by: Wallace, Eric, et al.
Published: (2024)

Probing self-attention in self-supervised speech models for cross-linguistic differences
by: Gopinath, Sai, et al.
Published: (2024)

PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representations
by: Yuan, Mingqi, et al.
Published: (2025)

Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion over Diverse Terrains
by: Wu, Feiyang, et al.
Published: (2024)

PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG
by: Rizwan, Muhammed, et al.
Published: (2025)

DRUPI: Dataset Reduction Using Privileged Information
by: Wang, Shaobo, et al.
Published: (2024)

PersonaGym: Evaluating Persona Agents and LLMs
by: Samuel, Vinay, et al.
Published: (2024)

Identifying Privacy Personas
by: Hrynenko, Olena, et al.
Published: (2024)

Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback
by: Choudhury, Sanjiban, et al.
Published: (2024)