Do LLMs Recognize Your Latent Preferences? A Benchmark for Latent Information Discovery in Personalized Interaction
Fuente:
arXiv
Saved in:
| Main Authors: | Tsaknakis, Ioannis, Song, Bingqing, Gan, Shuyu, Kang, Dongyeop, Garcia, Alfredo, Liu, Gaowen, Fleming, Charles, Hong, Mingyi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
by: Zhao, Siyan, et al.
Published: (2025)
by: Zhao, Siyan, et al.
Published: (2025)
A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level
by: Jiang, Xiaotian, et al.
Published: (2025)
by: Jiang, Xiaotian, et al.
Published: (2025)
Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model
by: Sun, Changchang, et al.
Published: (2025)
by: Sun, Changchang, et al.
Published: (2025)
A Doubly Stochastically Perturbed Algorithm for Linearly Constrained Bilevel Optimization
by: Khanduri, Prashant, et al.
Published: (2025)
by: Khanduri, Prashant, et al.
Published: (2025)
Scaling Unverifiable Rewards: A Case Study on Visual Insights
by: Gan, Shuyu, et al.
Published: (2025)
by: Gan, Shuyu, et al.
Published: (2025)
Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization
by: Peng, Jiangweizhi, et al.
Published: (2024)
by: Peng, Jiangweizhi, et al.
Published: (2024)
Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking
by: Glentis, Athanasios, et al.
Published: (2025)
by: Glentis, Athanasios, et al.
Published: (2025)
Learning Reward and Policy Jointly from Demonstration and Preference Improves Alignment
by: Li, Chenliang, et al.
Published: (2024)
by: Li, Chenliang, et al.
Published: (2024)
Mary, the Cheeseburger-Eating Vegetarian: Do LLMs Recognize Incoherence in Narratives?
by: de Langis, Karin, et al.
Published: (2025)
by: de Langis, Karin, et al.
Published: (2025)
A2P-Vis: an Analyzer-to-Presenter Agentic Pipeline for Visual Insights Generation and Reporting
by: Gan, Shuyu, et al.
Published: (2025)
by: Gan, Shuyu, et al.
Published: (2025)
Latent Ewald summation for machine learning of long-range interactions
by: Cheng, Bingqing
Published: (2024)
by: Cheng, Bingqing
Published: (2024)
BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation
by: Zhang, Tianhao, et al.
Published: (2024)
by: Zhang, Tianhao, et al.
Published: (2024)
PrefPalette: Personalized Preference Modeling with Latent Attributes
by: Li, Shuyue Stella, et al.
Published: (2025)
by: Li, Shuyue Stella, et al.
Published: (2025)
REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion
by: Petsangourakis, Giorgos, et al.
Published: (2025)
by: Petsangourakis, Giorgos, et al.
Published: (2025)
Effectively Steer LLM To Follow Preference via Building Confident Directions
by: Song, Bingqing, et al.
Published: (2025)
by: Song, Bingqing, et al.
Published: (2025)
Latent Preference Modeling for Cross-Session Personalized Tool Calling
by: Yoon, Yejin, et al.
Published: (2026)
by: Yoon, Yejin, et al.
Published: (2026)
Robust Model Selection for Discovery of Latent Mechanistic Processes
by: Li, Jiawei, et al.
Published: (2026)
by: Li, Jiawei, et al.
Published: (2026)
Latent Preference Bandits
by: Mwai, Newton, et al.
Published: (2025)
by: Mwai, Newton, et al.
Published: (2025)
Unlocking the Latent Canvas: Eliciting and Benchmarking Symbolic Visual Expression in LLMs
by: Zheng, Yiren, et al.
Published: (2026)
by: Zheng, Yiren, et al.
Published: (2026)
Fairness Begins with State: Purifying Latent Preferences for Hierarchical Reinforcement Learning in Interactive Recommendation
by: Lu, Yun, et al.
Published: (2026)
by: Lu, Yun, et al.
Published: (2026)
A Framework for Quantifying How Pre-Training and Context Benefit In-Context Learning
by: Song, Bingqing, et al.
Published: (2025)
by: Song, Bingqing, et al.
Published: (2025)
Unraveling the Gradient Descent Dynamics of Transformers
by: Song, Bingqing, et al.
Published: (2024)
by: Song, Bingqing, et al.
Published: (2024)
Are LLM Agents Behaviorally Coherent? Latent Profiles for Social Simulation
by: Mooney, James, et al.
Published: (2025)
by: Mooney, James, et al.
Published: (2025)
Personalized Benchmarking: Evaluating LLMs by Individual Preferences
by: Garbacea, Cristina, et al.
Published: (2026)
by: Garbacea, Cristina, et al.
Published: (2026)
Learning Explainable Dense Reward Shapes via Bayesian Optimization
by: Koo, Ryan, et al.
Published: (2025)
by: Koo, Ryan, et al.
Published: (2025)
PACIFIC: Can LLMs Discern the Traits Influencing Your Preferences? Evaluating Personality-Driven Preference Alignment in LLMs
by: Zhao, Tianyu, et al.
Published: (2026)
by: Zhao, Tianyu, et al.
Published: (2026)
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields
by: Kofinas, Miltiadis, et al.
Published: (2023)
by: Kofinas, Miltiadis, et al.
Published: (2023)
Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer
by: Li, Boyuan, et al.
Published: (2024)
by: Li, Boyuan, et al.
Published: (2024)
Exploring the Personality Traits of LLMs through Latent Features Steering
by: Yang, Shu, et al.
Published: (2024)
by: Yang, Shu, et al.
Published: (2024)
HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents
by: Peng, Jiangweizhi, et al.
Published: (2026)
by: Peng, Jiangweizhi, et al.
Published: (2026)
Latent Space Symmetry Discovery
by: Yang, Jianke, et al.
Published: (2023)
by: Yang, Jianke, et al.
Published: (2023)
How to Train Your Latent Diffusion Language Model Jointly With the Latent Space
by: Meshchaninov, Viacheslav, et al.
Published: (2026)
by: Meshchaninov, Viacheslav, et al.
Published: (2026)
Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models
by: Lu, Tianyi, et al.
Published: (2023)
by: Lu, Tianyi, et al.
Published: (2023)
Your Latent Mask is Wrong: Pixel-Equivalent Latent Compositing for Diffusion Models
by: Bradbury, Rowan, et al.
Published: (2025)
by: Bradbury, Rowan, et al.
Published: (2025)
BYOCL: Build Your Own Consistent Latent with Hierarchical Representative Latent Clustering
by: Dai, Jiayue, et al.
Published: (2024)
by: Dai, Jiayue, et al.
Published: (2024)
Improving Preference Extraction In LLMs By Identifying Latent Knowledge Through Classifying Probes
by: Maiya, Sharan, et al.
Published: (2025)
by: Maiya, Sharan, et al.
Published: (2025)
Latent Thinking Optimization: Your Latent Reasoning Language Model Secretly Encodes Reward Signals in Its Latent Thoughts
by: Du, Hanwen, et al.
Published: (2025)
by: Du, Hanwen, et al.
Published: (2025)
Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs
by: Luo, Yi, et al.
Published: (2025)
by: Luo, Yi, et al.
Published: (2025)
Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVR
by: Fan, Chongyu, et al.
Published: (2026)
by: Fan, Chongyu, et al.
Published: (2026)
Improving Latent Reasoning in LLMs via Soft Concept Mixing
by: Wang, Kang, et al.
Published: (2025)
by: Wang, Kang, et al.
Published: (2025)
Similar Items
-
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
by: Zhao, Siyan, et al.
Published: (2025) -
A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level
by: Jiang, Xiaotian, et al.
Published: (2025) -
Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model
by: Sun, Changchang, et al.
Published: (2025) -
A Doubly Stochastically Perturbed Algorithm for Linearly Constrained Bilevel Optimization
by: Khanduri, Prashant, et al.
Published: (2025) -
Scaling Unverifiable Rewards: A Case Study on Visual Insights
by: Gan, Shuyu, et al.
Published: (2025)