Image de couverture de livre

User-LLM: Efficient LLM Contextualization with User Embeddings

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ning, Lin, Liu, Luyang, Wu, Jiaxing, Wu, Neo, Berlowitz, Devora, Prakash, Sushant, Green, Bradley, O'Banion, Shawn, Xie, Jun
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches
par: Wang, Chao, et autres
Publié: (2024)

RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
par: Wu, Jiaxing, et autres
Publié: (2024)

Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning
par: Liu, Yuhan, et autres
Publié: (2025)

Enhancing Math through Literature.
par: O'Banion, Carie
Publié: (1997)

Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization
par: Du, Linfeng, et autres
Publié: (2026)

LLM Benchmark-User Need Misalignment for Climate Change
par: Liu, Oucheng, et autres
Publié: (2026)

Deliberation in Latent Space via Differentiable Cache Augmentation
par: Liu, Luyang, et autres
Publié: (2024)

SPECTRA: Revealing the Full Spectrum of User Preferences via Distributional LLM Inference
par: Zhang, Luyang, et autres
Publié: (2025)

Learned, Lagged, LLM-splained: LLM Responses to End User Security Questions
par: Prakash, Vijay, et autres
Publié: (2024)

CI-Bench: Benchmarking Contextual Integrity of AI Assistants on Synthetic Data
par: Cheng, Zhao, et autres
Publié: (2024)

Analyzing Pokémon and Mario Streamers' Twitch Chat with LLM-based User Embeddings
par: Hämäläinen, Mika, et autres
Publié: (2024)

Estimating LLM Consistency: A User Baseline vs Surrogate Metrics
par: Wu, Xiaoyuan, et autres
Publié: (2025)

Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences
par: Zheng, Mingqian, et autres
Publié: (2025)

Personalized LLM for Generating Customized Responses to the Same Query from Different Users
par: Zeng, Hang, et autres
Publié: (2024)

User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal
par: Liu, Yuhan, et autres
Publié: (2025)

GMTRouter: Personalized LLM Router over Multi-turn User Interactions
par: Xie, Encheng, et autres
Publié: (2025)

Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs
par: Ji, Zhenlan, et autres
Publié: (2024)

A Survey on LLM-based Conversational User Simulation
par: Ni, Bo, et autres
Publié: (2026)

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization
par: Wang, Liang, et autres
Publié: (2026)

User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarios
par: Wu, Xiaoyuan, et autres
Publié: (2025)

Challenging the Evaluator: LLM Sycophancy Under User Rebuttal
par: Kim, Sungwon, et autres
Publié: (2025)

Latent Inter-User Difference Modeling for LLM Personalization
par: Qiu, Yilun, et autres
Publié: (2025)

LLM-based User Profile Management for Recommender System
par: Bang, Seunghwan, et autres
Publié: (2025)

Low-code LLM: Graphical User Interface over Large Language Models
par: Cai, Yuzhe, et autres
Publié: (2023)

Answering Students' Questions on Course Forums Using Multiple Chain-of-Thought Reasoning and Finetuning RAG-Enabled LLM
par: Wang, Neo, et autres
Publié: (2025)

I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation
par: Wu, Cheng-Kuang, et autres
Publié: (2024)

LLM Hypnosis: Exploiting User Feedback for Unauthorized Knowledge Injection to All Users
par: Hilel, Almog, et autres
Publié: (2025)

iAgent: LLM Agent as a Shield between User and Recommender Systems
par: Xu, Wujiang, et autres
Publié: (2025)

LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences
par: Yuan, Liangqi, et autres
Publié: (2025)

LLM-Driven Preference Data Synthesis for Proactive Prediction of the Next User Utterance in Human-Machine Dialogue
par: Wang, Jinqiang, et autres
Publié: (2025)

Contextual Multilingual Spellchecker for User Queries
par: Sharma, Sanat, et autres
Publié: (2023)

Incubating Text Classifiers Following User Instruction with Nothing but LLM
par: Peng, Letian, et autres
Publié: (2024)

Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants
par: Suh, Joseph, et autres
Publié: (2026)

On the Way to LLM Personalization: Learning to Remember User Conversations
par: Magister, Lucie Charlotte, et autres
Publié: (2024)

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition
par: Chen, Hanting, et autres
Publié: (2025)

Fast-dLLM v2: Efficient Block-Diffusion LLM
par: Wu, Chengyue, et autres
Publié: (2025)

Efficient LLM Inference with Kcache
par: He, Qiaozhi, et autres
Publié: (2024)

semantic-features: A User-Friendly Tool for Studying Contextual Word Embeddings in Interpretable Semantic Spaces
par: Ranganathan, Jwalanthi, et autres
Publié: (2025)

Understand User Opinions of Large Language Models via LLM-Powered In-the-Moment User Experience Interviews
par: Liu, Mengqiao, et autres
Publié: (2025)

LLM-driven Constrained Copy Generation through Iterative Refinement
par: Vasudevan, Varun, et autres
Publié: (2025)