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EntQA: Entity Linking as Question Answering., , and . ICLR, OpenReview.net, (2022)War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars., , , , , , , and . CoRR, (2023)How to Index Item IDs for Recommendation Foundation Models., , , and . SIGIR-AP, page 195-204. ACM, (2023)OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems., , and . SIGIR, page 386-394. ACM, (2024)AutoFlow: Automated Workflow Generation for Large Language Model Agents., , , , , , , , and . CoRR, (2024)Towards LLM-RecSys Alignment with Textual ID Learning., , , , , and . CoRR, (2024)BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis., , , , , , , , , and . CoRR, (2024)Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?, , , , , , , , , and 3 other author(s). CoRR, (2024)The Impact of Reasoning Step Length on Large Language Models., , , , , , , and . ACL (Findings), page 1830-1842. Association for Computational Linguistics, (2024)UP5: Unbiased Foundation Model for Fairness-aware Recommendation., , , , , and . EACL (1), page 1899-1912. Association for Computational Linguistics, (2024)