{"total":16,"rows":[{"id":"2407.00128","title":"When Search Engine Services meet Large Language Models: Visions and Challenges","created":"2024-06-28","cited_by_count":59,"area":null},{"id":"2410.01598","title":"Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation","created":"2024-10-02","cited_by_count":11,"area":null},{"id":"2405.17658","title":"Generative Query Reformulation Using Ensemble Prompting, Document Fusion, and Relevance Feedback","created":"2024-05-27","cited_by_count":5,"area":null},{"id":"2406.16013","title":"Database-Augmented Query Representation for Information Retrieval","created":"2024-06-23","cited_by_count":5,"area":null},{"id":"2504.18748","title":"Generative Product Recommendations for Implicit Superlative Queries","created":"2025-04-26","cited_by_count":5,"area":null},{"id":"2511.15996","title":"QueryGym: A Toolkit for Reproducible LLM-Based Query Reformulation","created":"2025-11-20","cited_by_count":5,"area":null},{"id":"2409.15290","title":"Broadening Access to Simulations for End-Users via Large Language Models: Challenges and Opportunities","created":"2024-09-03","cited_by_count":4,"area":null},{"id":"2604.27421","title":"A Reproducibility Study of LLM-Based Query Reformulation","created":"2026-04-30","cited_by_count":2,"area":null},{"id":"2409.10909","title":"GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval","created":"2024-09-17","cited_by_count":1,"area":null},{"id":"2511.13994","title":"Hint-Augmented Re-ranking: Efficient Product Search using LLM-Based Query Decomposition","created":"2025-11-17","cited_by_count":1,"area":null},{"id":"2604.01417","title":"ReFormeR: Learning and Applying Explicit Query Reformulation Patterns","created":"2026-04-01","cited_by_count":1,"area":null},{"id":"2606.13905","title":"ADORE: Iterative Query Expansion with Retrieval-Grounded Relevance Feedback","created":"2026-06-11","cited_by_count":1,"area":null},{"id":"2603.11008","title":"A Systematic Study of Pseudo-Relevance Feedback with LLMs","created":"2026-03-11","cited_by_count":0,"area":null},{"id":"2603.20513","title":"ReBOL: Retrieval via Bayesian Optimization with Batched LLM Relevance Observations and Query Reformulation","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2605.00964","title":"Seeking Information with RAG-Assistants: Does Model Size Matter in Human-AI Collaborations?","created":"2026-05-01","cited_by_count":0,"area":null},{"id":"2605.27441","title":"A Unified Structured Query Understanding Framework for Industrial Semantic Search","created":"2026-05-22","cited_by_count":0,"area":null}],"next_cursor":null}