Saved in:
| Main Authors: | Fisher, Jillian, Neville, Jennifer, Park, Chan Young |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.14473 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Node Representation by Boosting Target-Aware Contrastive Loss
by: Lin, Ying-Chun, et al.
Published: (2024)
by: Lin, Ying-Chun, et al.
Published: (2024)
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
by: Schnabel, Tobias, et al.
Published: (2024)
by: Schnabel, Tobias, et al.
Published: (2024)
Personalize-then-Store: Benchmarking and Learning Personalized Memory for Long-horizon Agents
by: In, Yeonjun, et al.
Published: (2026)
by: In, Yeonjun, et al.
Published: (2026)
Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
by: Sorensen, Taylor, et al.
Published: (2025)
by: Sorensen, Taylor, et al.
Published: (2025)
Political Neutrality in AI Is Impossible- But Here Is How to Approximate It
by: Fisher, Jillian, et al.
Published: (2025)
by: Fisher, Jillian, et al.
Published: (2025)
Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Prediction
by: Park, Sejun, et al.
Published: (2026)
by: Park, Sejun, et al.
Published: (2026)
CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness
by: Liu, Jiayi, et al.
Published: (2024)
by: Liu, Jiayi, et al.
Published: (2024)
BenchPreS: A Benchmark for Context-Aware Personalized Preference Selectivity of Persistent-Memory LLMs
by: Yoon, Sangyeon, et al.
Published: (2026)
by: Yoon, Sangyeon, et al.
Published: (2026)
Enabling Personalized Long-term Interactions in LLM-based Agents through Persistent Memory and User Profiles
by: Westhäußer, Rebecca, et al.
Published: (2025)
by: Westhäußer, Rebecca, et al.
Published: (2025)
Memory Assisted LLM for Personalized Recommendation System
by: Chen, Jiarui
Published: (2025)
by: Chen, Jiarui
Published: (2025)
Graph-Native Cognitive Memory for AI Agents: Formal Belief Revision Semantics for Versioned Memory Architectures
by: Park, Young Bin
Published: (2026)
by: Park, Young Bin
Published: (2026)
From Personal to Collective: On the Role of Local and Global Memory in LLM Personalization
by: Wang, Zehong, et al.
Published: (2025)
by: Wang, Zehong, et al.
Published: (2025)
Towards Realistic Personalization: Evaluating Long-Horizon Preference Following in Personalized User-LLM Interactions
by: Guo, Qianyun, et al.
Published: (2026)
by: Guo, Qianyun, et al.
Published: (2026)
AUGUSTUS: An LLM-Driven Multimodal Agent System with Contextualized User Memory
by: Jain, Jitesh, et al.
Published: (2025)
by: Jain, Jitesh, et al.
Published: (2025)
Biased AI can Influence Political Decision-Making
by: Fisher, Jillian, et al.
Published: (2024)
by: Fisher, Jillian, et al.
Published: (2024)
Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents
by: Su, Miao, et al.
Published: (2026)
by: Su, Miao, et al.
Published: (2026)
On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
by: Herlihy, Christine, et al.
Published: (2024)
by: Herlihy, Christine, et al.
Published: (2024)
Personalizing Embodied Multimodal Large Language Model Agents over Long-term User Interactions
by: Lee, Jeongeun, et al.
Published: (2026)
by: Lee, Jeongeun, et al.
Published: (2026)
PrefPalette: Personalized Preference Modeling with Latent Attributes
by: Li, Shuyue Stella, et al.
Published: (2025)
by: Li, Shuyue Stella, et al.
Published: (2025)
A Multi-Agent Conversational Bandit Approach to Online Evaluation and Selection of User-Aligned LLM Responses
by: Dai, Xiangxiang, et al.
Published: (2025)
by: Dai, Xiangxiang, et al.
Published: (2025)
Linguistics-Aware Non-Distortionary LLM Watermarking
by: Park, Shinwoo, et al.
Published: (2026)
by: Park, Shinwoo, et al.
Published: (2026)
Personality as Relational Infrastructure: User Perceptions of Personality-Trait-Infused LLM Messaging
by: Hofer, Dominik P., et al.
Published: (2026)
by: Hofer, Dominik P., et al.
Published: (2026)
PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents
by: Wu, Yaozu, et al.
Published: (2025)
by: Wu, Yaozu, et al.
Published: (2025)
Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory
by: Choi, Junhyuk, et al.
Published: (2026)
by: Choi, Junhyuk, et al.
Published: (2026)
PRISM: Breaking the O(n) Memory Wall in Long-Context LLM Inference via O(1) Photonic Block Selection
by: Park, Hyoseok, et al.
Published: (2026)
by: Park, Hyoseok, et al.
Published: (2026)
Sensory-Aware Sequential Recommendation via Review-Distilled Representations
by: Yoon, Yeo Chan, et al.
Published: (2026)
by: Yoon, Yeo Chan, et al.
Published: (2026)
JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models
by: Fisher, Jillian, et al.
Published: (2024)
by: Fisher, Jillian, et al.
Published: (2024)
A Linguistics-Aware LLM Watermarking via Syntactic Predictability
by: Park, Shinwoo, et al.
Published: (2025)
by: Park, Shinwoo, et al.
Published: (2025)
Preference-Aware Memory Update for Long-Term LLM Agents
by: Sun, Haoran, et al.
Published: (2025)
by: Sun, Haoran, et al.
Published: (2025)
P-CAFE: Personalized Cost-Aware Incremental Feature Selection For Electronic Health Records
by: Kashani, Naama, et al.
Published: (2025)
by: Kashani, Naama, et al.
Published: (2025)
Selective QA over Conflicting Multi-Source Personal Memory: A Diagnostic Testbed and Method Comparison
by: Yang, Tiancheng, et al.
Published: (2026)
by: Yang, Tiancheng, et al.
Published: (2026)
Detection of LLM-Paraphrased Code and Identification of the Responsible LLM Using Coding Style Features
by: Park, Shinwoo, et al.
Published: (2025)
by: Park, Shinwoo, et al.
Published: (2025)
The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs
by: Fang, Xi, et al.
Published: (2025)
by: Fang, Xi, et al.
Published: (2025)
Design and Evaluation of Cost-Aware PoQ for Decentralized LLM Inference
by: Tian, Arther, et al.
Published: (2025)
by: Tian, Arther, et al.
Published: (2025)
SelectLLM: Can LLMs Select Important Instructions to Annotate?
by: Parkar, Ritik Sachin, et al.
Published: (2024)
by: Parkar, Ritik Sachin, et al.
Published: (2024)
Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control
by: Rezazadeh, Alireza, et al.
Published: (2025)
by: Rezazadeh, Alireza, et al.
Published: (2025)
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants
by: Zhang, Zeyu, et al.
Published: (2024)
by: Zhang, Zeyu, et al.
Published: (2024)
Causal Intervention-Based Memory Selection for Long-Horizon LLM Agents
by: Srivastava, Saksham Sahai
Published: (2026)
by: Srivastava, Saksham Sahai
Published: (2026)
Distribution-Aware Reward: Reinforcement Learning over Predictive Distributions for LLM Regression
by: Park, Jungsoo, et al.
Published: (2026)
by: Park, Jungsoo, et al.
Published: (2026)
Tractable Uncertainty-Aware Meta-Learning
by: Park, Young-Jin, et al.
Published: (2022)
by: Park, Young-Jin, et al.
Published: (2022)
Similar Items
-
Improving Node Representation by Boosting Target-Aware Contrastive Loss
by: Lin, Ying-Chun, et al.
Published: (2024) -
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
by: Schnabel, Tobias, et al.
Published: (2024) -
Personalize-then-Store: Benchmarking and Learning Personalized Memory for Long-horizon Agents
by: In, Yeonjun, et al.
Published: (2026) -
Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
by: Sorensen, Taylor, et al.
Published: (2025) -
Political Neutrality in AI Is Impossible- But Here Is How to Approximate It
by: Fisher, Jillian, et al.
Published: (2025)