Accepted

Accepted Long Papers

• Detecting and Correcting Price Discrepancies in Product Listings via LLM-Based Fact-Checking
• Human-Aligned Long-Form Evaluation (HALF-Eval): Framework for Assessing AI-Generated Content and Improvement
• CatalogRAG: Retrieval-Guided LLM Prediction for Multilingual E-commerce Product Attributes
• MaRGen: Multi-Agent LLM Approach for Self-Directed Market Research and Analysis
• Effective Product Schema Matching and Duplicate Detection with Large Language Models
• TopoSem: In-Context Planning with Semantically-Informed Tooling Graph Similarity
• LLMs for Customized Marketing Content Generation and Evaluation at Scale
• LLM-Generated Merchant Metadata for E-Commerce Personalization
• Generative Representational Learning of Foundation Models for Recommendation
• Aspect Sentiment Feature Extraction using Large Language Models for Cross Domain Recommendation

Accepted Short Papers

• Building Multi-Turn RAG for Customer Support with LLM Labeling
• REIC: RAG-Enhanced Intent Classification at Scale
• RADAR: LLM Framework for Root-cause Analysis and Data-driven Automated Reasoning at Scale
• HSTU-BLaIR: Lightweight Contrastive Text Embedding for Generative Recommender
• Verifying LLM-Driven Music Recommendation Systems