arXiv Computer Science @arxiv_cs@qoto.org

BigTokDetect: A Clinically-Informed Vision-Language Model Framework for Detecting Pro-Bigorexia Videos on TikTok https://arxiv.org/abs/2508.06515 #cs.CV

AutoMashup: Automatic Music Mashups Creation https://arxiv.org/abs/2508.06516 #eess.SP #cs.SD

Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation https://arxiv.org/abs/2508.06517 #cs.CV

Automated Seam Folding and Sewing Machine on Pleated Pants for Apparel Manufacturing https://arxiv.org/abs/2508.06518 #cs.RO

Optimization of Flip-Landing Trajectories for Starship based on a Deep Learned Simulator https://arxiv.org/abs/2508.06520 #eess.SY #cs.RO #cs.SY

Automated Visualization Makeovers with LLMs https://arxiv.org/abs/2508.05637 #cs.HC #cs.AI

Request-Only Optimization for Recommendation Systems https://arxiv.org/abs/2508.05640 #cs.IR #cs.AI

A Humanoid Social Robot as a Teaching Assistant in the Classroom https://arxiv.org/abs/2508.05646 #cs.HC #cs.RO

Query-Aware Graph Neural Networks for Enhanced Retrieval-Augmented Generation https://arxiv.org/abs/2508.05647 #cs.IR #cs.AI

AquiLLM: a RAG Tool for Capturing Tacit Knowledge in Research Groups https://arxiv.org/abs/2508.05648 #cs.IR #cs.AI

AI Guided Accelerator For Search Experience https://arxiv.org/abs/2508.05649 #cs.IR #cs.LG

OmniBench-RAG: A Multi-Domain Evaluation Platform for Retrieval-Augmented Generation Tools https://arxiv.org/abs/2508.05650 #cs.IR #cs.AI

Lessons from A Large Language Model-based Outdoor Trail Recommendation Chatbot with Retrieval Augmented Generation https://arxiv.org/abs/2508.05652 #cs.IR #cs.AI

Modeling Interactive Narrative Systems: A Formal Approach https://arxiv.org/abs/2508.05653 #cs.HC #cs.AI

Comparison of Information Retrieval Techniques Applied to IT Support Tickets https://arxiv.org/abs/2508.05654 #cs.IR #cs.AI

Augmented Question-guided Retrieval (AQgR) of Indian Case Law with LLM, RAG, and Structured Summaries https://arxiv.org/abs/2508.04710 #cs.IR

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers https://arxiv.org/abs/2508.04711 #cs.IR #cs.LG

AI Should Be More Human, Not More Complex https://arxiv.org/abs/2508.04713 #cs.HC #cs.AI

Prescriptive Agents based on Rag for Automated Maintenance (PARAM) https://arxiv.org/abs/2508.04714 #eess.SP #cs.AI #cs.CL #cs.LG #cs.MA

GeoFlow: Agentic Workflow Automation for Geospatial Tasks https://arxiv.org/abs/2508.04719 #cs.AI #cs.LG