arXiv Computer Science @arxiv_cs@qoto.org

ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources https://arxiv.org/abs/2504.06271 #cs.IR #cs.AI #cs.CL

RAVEN: An Agentic Framework for Multimodal Entity Discovery from Large-Scale Video Collections https://arxiv.org/abs/2504.06272 #cs.IR #cs.AI

A Diverse and Effective Retrieval-Based Debt Collection System with Expert Knowledge https://arxiv.org/abs/2504.06273 #cs.IR #cs.AI #cs.CL

Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning https://arxiv.org/abs/2504.06274 #cs.IR #cs.AI #cs.LG

A Cascaded Architecture for Extractive Summarization of Multimedia Content via Audio-to-Text Alignment https://arxiv.org/abs/2504.06275 #eess.AS #cs.IR #cs.AI #cs.SD

Can we repurpose multiple-choice question-answering models to rerank retrieved documents? https://arxiv.org/abs/2504.06276 #cs.IR

Dynamic Evaluation Framework for Personalized and Trustworthy Agents: A Multi-Session Approach to Preference Adaptability https://arxiv.org/abs/2504.06277 #cs.IR #cs.AI

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization https://arxiv.org/abs/2504.05307 #cs.IR #cs.AI

RARe: Raising Ad Revenue Framework with Context-Aware Reranking https://arxiv.org/abs/2504.05308 #cs.IR

IterQR: An Iterative Framework for LLM-based Query Rewrite in e-Commercial Search System https://arxiv.org/abs/2504.05309 #cs.IR #cs.AI

GRIT: Graph-based Recall Improvement for Task-oriented E-commerce Queries https://arxiv.org/abs/2504.05310 #cs.IR

Dr Web: a modern, query-based web data retrieval engine https://arxiv.org/abs/2504.05311 #cs.DB #cs.CL #cs.IR

Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation https://arxiv.org/abs/2504.05312 #cs.IR #cs.AI

A Systematic Survey on Federated Sequential Recommendation https://arxiv.org/abs/2504.05313 #cs.IR #cs.LG

Multimodal Quantitative Language for Generative Recommendation https://arxiv.org/abs/2504.05314 #cs.IR #cs.AI #cs.CL

Coherency Improved Explainable Recommendation via Large Language Model https://arxiv.org/abs/2504.05315 #cs.IR

Scale Up Composed Image Retrieval Learning via Modification Text Generation https://arxiv.org/abs/2504.05316 #cs.IR #cs.AI #cs.CV

What Every Computer Scientist Needs To Know About Parallelization https://arxiv.org/abs/2504.03647 #cs.DC

AIBrix: Towards Scalable, Cost-Effective Large Language Model Inference Infrastructure https://arxiv.org/abs/2504.03648 #cs.DC #cs.AI

Diagnostic Method for Hydropower Plant Condition-based Maintenance combining Autoencoder with Clustering Algorithms https://arxiv.org/abs/2504.03649 #cs.AI #cs.LG #cs.NE