Saved in:
| Main Authors: | Mukherjee, Kunal, Harrison, Zachary, Balaneshin, Saeid |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.18001 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems
by: Belal, Yacine, et al.
Published: (2023)
by: Belal, Yacine, et al.
Published: (2023)
PRISM: LLM-Guided Semantic Clustering for High-Precision Topics
by: Douglas, Connor, et al.
Published: (2026)
by: Douglas, Connor, et al.
Published: (2026)
Solar Forecasting with Causality: A Graph-Transformer Approach to Spatiotemporal Dependencies
by: Niu, Yanan, et al.
Published: (2025)
by: Niu, Yanan, et al.
Published: (2025)
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding
by: Soto-Gomez, Mauricio, et al.
Published: (2021)
by: Soto-Gomez, Mauricio, et al.
Published: (2021)
Predictive modeling and anomaly detection in large-scale web portals through the CAWAL framework
by: Canay, Ozkan, et al.
Published: (2025)
by: Canay, Ozkan, et al.
Published: (2025)
Identifying bias in cluster quality metrics
by: Renedo-Mirambell, Martí, et al.
Published: (2021)
by: Renedo-Mirambell, Martí, et al.
Published: (2021)
Equip Pre-ranking with Target Attention by Residual Quantization
by: Li, Yutong, et al.
Published: (2025)
by: Li, Yutong, et al.
Published: (2025)
User Modeling and User Profiling: A Comprehensive Survey
by: Purificato, Erasmo, et al.
Published: (2024)
by: Purificato, Erasmo, et al.
Published: (2024)
Longitudinal Sentiment Topic Modelling of Reddit Posts
by: Nwaoha, Fabian, et al.
Published: (2024)
by: Nwaoha, Fabian, et al.
Published: (2024)
Algorithm Selection for Recommender Systems via Meta-Learning on Algorithm Characteristics
by: Decker, Jarne Mathi, et al.
Published: (2025)
by: Decker, Jarne Mathi, et al.
Published: (2025)
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation
by: Shen, Tingjia, et al.
Published: (2024)
by: Shen, Tingjia, et al.
Published: (2024)
RubricRAG: Towards Interpretable and Reliable LLM Evaluation via Domain Knowledge Retrieval for Rubric Generation
by: Dhole, Kaustubh D., et al.
Published: (2026)
by: Dhole, Kaustubh D., et al.
Published: (2026)
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
by: Perozzi, Bryan, et al.
Published: (2024)
by: Perozzi, Bryan, et al.
Published: (2024)
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications
by: Belal, Yacine, et al.
Published: (2023)
by: Belal, Yacine, et al.
Published: (2023)
How to Surprisingly Consider Recommendations? A Knowledge-Graph-based Approach Relying on Complex Network Metrics
by: Baumann, Oliver, et al.
Published: (2024)
by: Baumann, Oliver, et al.
Published: (2024)
Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review
by: Rombach, Alexander Michael, et al.
Published: (2024)
by: Rombach, Alexander Michael, et al.
Published: (2024)
Domain Specific Data Distillation and Multi-modal Embedding Generation
by: Peddiraju, Sharadind, et al.
Published: (2024)
by: Peddiraju, Sharadind, et al.
Published: (2024)
FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models
by: Yuan, Bithiah
Published: (2025)
by: Yuan, Bithiah
Published: (2025)
RobustExplain: Evaluating Robustness of LLM-Based Explanation Agents for Recommendation
by: Zhang, Guilin, et al.
Published: (2026)
by: Zhang, Guilin, et al.
Published: (2026)
KnowThyself: An Agentic Assistant for LLM Interpretability
by: Prasai, Suraj, et al.
Published: (2025)
by: Prasai, Suraj, et al.
Published: (2025)
ZeShot-VQA: Zero-Shot Visual Question Answering Framework with Answer Mapping for Natural Disaster Damage Assessment
by: Karimi, Ehsan, et al.
Published: (2025)
by: Karimi, Ehsan, et al.
Published: (2025)
From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling
by: Rahimzadeh, Vahid, et al.
Published: (2025)
by: Rahimzadeh, Vahid, et al.
Published: (2025)
Accelerating Recommendation System Training by Leveraging Popular Choices
by: Adnan, Muhammad, et al.
Published: (2021)
by: Adnan, Muhammad, et al.
Published: (2021)
Research on Conversational Recommender System Considering Consumer Types
by: Luo, Yaying, et al.
Published: (2025)
by: Luo, Yaying, et al.
Published: (2025)
Incorporating Recklessness to Collaborative Filtering based Recommender Systems
by: Pérez-López, Diego, et al.
Published: (2023)
by: Pérez-López, Diego, et al.
Published: (2023)
Introducing Three New Benchmark Datasets for Hierarchical Text Classification
by: Toit, Jaco du, et al.
Published: (2024)
by: Toit, Jaco du, et al.
Published: (2024)
Graph-based Fake Account Detection: A Survey
by: Dehkordi, Ali Safarpoor, et al.
Published: (2025)
by: Dehkordi, Ali Safarpoor, et al.
Published: (2025)
FinQAPT: Empowering Financial Decisions with End-to-End LLM-driven Question Answering Pipeline
by: Singh, Kuldeep, et al.
Published: (2024)
by: Singh, Kuldeep, et al.
Published: (2024)
Suppressing Domain-Specific Hallucination in Construction LLMs: A Knowledge Graph Foundation for GraphRAG and QLoRA on River and Sediment Control Technical Standards
by: Yasuno, Takato
Published: (2026)
by: Yasuno, Takato
Published: (2026)
GraFPrint: A GNN-Based Approach for Audio Identification
by: Bhattacharjee, Aditya, et al.
Published: (2024)
by: Bhattacharjee, Aditya, et al.
Published: (2024)
HySemRAG: A Hybrid Semantic Retrieval-Augmented Generation Framework for Automated Literature Synthesis and Methodological Gap Analysis
by: Godinez, Alejandro
Published: (2025)
by: Godinez, Alejandro
Published: (2025)
Comparison of Metadata Representation Models for Knowledge Graph Embeddings
by: Egami, Shusaku, et al.
Published: (2025)
by: Egami, Shusaku, et al.
Published: (2025)
SURE-RAG: Sufficiency and Uncertainty-Aware Evidence Verification for Selective Retrieval-Augmented Generation
by: Qiu, Jingxi, et al.
Published: (2026)
by: Qiu, Jingxi, et al.
Published: (2026)
Perceptron Collaborative Filtering
by: Chakraborty, Arya
Published: (2024)
by: Chakraborty, Arya
Published: (2024)
Document Understanding for Healthcare Referrals
by: Mistry, Jimit, et al.
Published: (2023)
by: Mistry, Jimit, et al.
Published: (2023)
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems
by: Luo, Qinyi, et al.
Published: (2024)
by: Luo, Qinyi, et al.
Published: (2024)
UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential Recommendations
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation
by: Zeng, Yangchen, et al.
Published: (2026)
by: Zeng, Yangchen, et al.
Published: (2026)
INESC-ID @ eRisk 2025: Exploring Fine-Tuned, Similarity-Based, and Prompt-Based Approaches to Depression Symptom Identification
by: Nunes, Diogo A. P., et al.
Published: (2025)
by: Nunes, Diogo A. P., et al.
Published: (2025)
DALL-M: Context-Aware Clinical Data Augmentation with LLMs
by: Hsieh, Chihcheng, et al.
Published: (2024)
by: Hsieh, Chihcheng, et al.
Published: (2024)
Similar Items
-
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems
by: Belal, Yacine, et al.
Published: (2023) -
PRISM: LLM-Guided Semantic Clustering for High-Precision Topics
by: Douglas, Connor, et al.
Published: (2026) -
Solar Forecasting with Causality: A Graph-Transformer Approach to Spatiotemporal Dependencies
by: Niu, Yanan, et al.
Published: (2025) -
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding
by: Soto-Gomez, Mauricio, et al.
Published: (2021) -
Predictive modeling and anomaly detection in large-scale web portals through the CAWAL framework
by: Canay, Ozkan, et al.
Published: (2025)