Papers Profile Generation
“Profile Generation” 태그가 달린 논문 25편 · 필터 해제
Self-supervised User Profile Generation for Personalization
Personalizing large language models (LLMs) has become a central challenge as LLMs are deployed across recommendation, search, dialogue, and content generation -- settings where the same query should yield different answe…
Profile GenerationPhySE: A Psychological Framework for Real-Time AR-LLM Social Engineering Attacks
The emerging threat of AR-LLM-based Social Engineering (AR-LLM-SE) attacks (e.g. SEAR) poses a significant risk to real-world social interactions. In such an attack, a malicious actor uses Augmented Reality (AR) glasses …
Profile GenerationReFORM: Review-aggregated Profile Generation via LLM with Multi-Factor Attention for Restaurant Recommendation
In recommender systems, large language models (LLMs) have gained popularity for generating descriptive summarization to improve recommendation robustness, along with Graph Convolution Networks. However, existing LLM-enha…
Profile GenerationGeMM-GAN: A Multimodal Generative Model Conditioned on Histopathology Images and Clinical Descriptions for Gene Expression Profile Generation
Biomedical research increasingly relies on integrating diverse data modalities, including gene expression profiles, medical images, and clinical metadata. While medical images and clinical metadata are routinely collecte…
Profile GenerationType predictionEnriching Semantic Profiles into Knowledge Graph for Recommender Systems Using Large Language Models
Rich and informative profiling to capture user preferences is essential for improving recommendation quality. However, there is still no consensus on how best to construct and utilize such profiles. To address this, we r…
Profile GenerationKnowledge GraphsFGM optimization in complex domains using Gaussian process regression based profile generation algorithm
This manuscript addresses the challenge of designing functionally graded materials (FGMs) for arbitrary-shaped domains. Towards this goal, the present work proposes a generic volume fraction profile generation algorithm …
Profile GenerationHow Would It Sound? Material-Controlled Multimodal Acoustic Profile Generation for Indoor Scenes
How would the sound in a studio change with a carpeted floor and acoustic tiles on the walls? We introduce the task of material-controlled acoustic profile generation, where, given an indoor scene with specific audio-vis…
Profile GenerationHierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations
Explainable recommendations, which use the information of user and item with interaction to generate a explanation for why the user would interact with the item, are crucial for improving user trust and decision transpar…
Contrastive LearningDimensionality ReductionExplanation GenerationProfile Generation+1LettinGo: Explore User Profile Generation for Recommendation System
User profiling is pivotal for recommendation systems, as it transforms raw user interaction data into concise and structured representations that drive personalized recommendations. While traditional embedding-based prof…
Profile GenerationRecommendation SystemsCan LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials
Hard negative samples can accelerate model convergence and optimize decision boundaries, which is key to improving the performance of recommender systems. Although large language models (LLMs) possess strong semantic und…
Collaborative FilteringProfile GenerationRecommendation SystemsAutomating Personalization: Prompt Optimization for Recommendation Reranking
Modern recommender systems increasingly leverage large language models (LLMs) for reranking to improve personalization. However, existing approaches face two key limitations: (1) heavy reliance on manually crafted prompt…
PositionProfile GenerationRecommendation SystemsRerankingBursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
Recommender systems (RSs) often suffer from the feedback loop phenomenon, e.g., RSs are trained on data biased by their recommendations. This leads to the filter bubble effect that reinforces homogeneous content and redu…
Profile GenerationRecommendation SystemsWorld KnowledgeUser Profile with Large Language Models: Construction, Updating, and Benchmarking
User profile modeling plays a key role in personalized systems, as it requires building accurate profiles and updating them with new information. In this paper, we present two high-quality open-source user profile datase…
BenchmarkingProfile GenerationSolving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking
With the vast and dynamic user-generated content on Roblox, creating effective game recommendations requires a deep understanding of game content. Traditional recommendation models struggle with the inconsistent and spar…
Profile GenerationRecommendation SystemsRerankingRe-RankingA Prompting-Based Representation Learning Method for Recommendation with Large Language Models
In recent years, Recommender Systems (RS) have witnessed a transformative shift with the advent of Large Language Models (LLMs) in the field of Natural Language Processing (NLP). Models such as GPT-3.5/4, Llama, have dem…
Collaborative FilteringProfile GenerationRecommendation SystemsRepresentation LearningGuided Profile Generation Improves Personalization with LLMs
In modern commercial systems, including Recommendation, Ranking, and E-Commerce platforms, there is a trend towards improving customer experiences by incorporating Personalization context as input into Large Language Mod…
DescriptiveProfile GenerationA Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction
Residential Load Profile (RLP) generation and prediction are critical for the operation and planning of distribution networks, especially as diverse low-carbon technologies (e.g., photovoltaic and electric vehicles) are …
Load ForecastingProfile GenerationCFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
This work takes a critical stance on previous studies concerning fairness evaluation in Large Language Model (LLM)-based recommender systems, which have primarily assessed consumer fairness by comparing recommendation li…
AttributeFairnessLanguage ModelingLanguage Modelling+3PGTask: Introducing the Task of Profile Generation from Dialogues
Recent approaches have attempted to personalize dialogue systems by leveraging profile information into models. However, this knowledge is scarce and difficult to obtain, which makes the extraction/generation of profile …
Profile GenerationPresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation
Ground pressure exerted by the human body is a valuable source of information for human activity recognition (HAR) in unobtrusive pervasive sensing. While data collection from pressure sensors to develop HAR solutions re…
Activity RecognitionHuman Activity RecognitionProfile Generation