{"total":16,"rows":[{"id":"2408.08656","title":"LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs","created":"2024-08-16","cited_by_count":25,"area":null},{"id":"2501.03835","title":"TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification","created":"2025-01-07","cited_by_count":6,"area":null},{"id":"2406.06839","title":"EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction","created":"2024-06-10","cited_by_count":4,"area":null},{"id":"2510.23941","title":"Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs","created":"2025-10-27","cited_by_count":4,"area":null},{"id":"2409.12695","title":"Exploring Large Language Models for Product Attribute Value Identification","created":"2024-09-19","cited_by_count":3,"area":null},{"id":"2502.15979","title":"Visual Zero-Shot E-Commerce Product Attribute Value Extraction","created":"2025-02-21","cited_by_count":3,"area":null},{"id":"2601.13922","title":"Automatic Prompt Optimization for Dataset-Level Feature Discovery","created":"2026-01-20","cited_by_count":3,"area":null},{"id":"2603.10547","title":"Automatic End-to-End Data Integration using Large Language Models","created":"2026-03-11","cited_by_count":3,"area":null},{"id":"2501.01237","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","created":"2025-01-02","cited_by_count":2,"area":null},{"id":"2505.17125","title":"NEXT-EVAL: Next Evaluation of Traditional and LLM Web Data Record Extraction","created":"2025-05-21","cited_by_count":2,"area":null},{"id":"2603.24216","title":"Where Do Your Citations Come From? Citation-Constellation: A Free, Open-Source, No-Code, and Auditable Tool for Citation Network Decomposition with Complementary BARON and HEROCON Scores","created":"2026-03-25","cited_by_count":0,"area":null},{"id":"2604.16425","title":"Method for Aggregating Unstructured Data Using Large Language Models","created":"2026-04-04","cited_by_count":0,"area":null},{"id":"2606.24655","title":"AI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2606.28070","title":"JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications","created":"2026-06-26","cited_by_count":0,"area":null},{"id":"2607.26780","title":"Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case","created":"2026-07-29","cited_by_count":0,"area":null},{"id":"2609.09567","title":"Positional task conditioning for scalable defect detection across product families in large product catalogs","created":"2026-09-09","cited_by_count":0,"area":null}],"next_cursor":null}