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Atlas: Few-shot Learning with Retrieval Augmented Language Models., , , , , , , , , and . J. Mach. Learn. Res., (2023)Evaluation of Faithfulness Using the Longest Supported Subsequence., , , and . CoRR, (2023)Few-shot Learning with Retrieval Augmented Language Models., , , , , , , , , and . CoRR, (2022)Learnings from Data Integration for Augmented Language Models., and . CoRR, (2023)ROBBIE: Robust Bias Evaluation of Large Generative Language Models., , , , , , , , , and . EMNLP, page 3764-3814. Association for Computational Linguistics, (2023)GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements., , , , , , and . CoRR, (2024)Toolformer: Language Models Can Teach Themselves to Use Tools., , , , , , , and . CoRR, (2023)Teaching Large Language Models to Reason with Reinforcement Learning., , , , , , , , and . CoRR, (2024)Efficient Tool Use with Chain-of-Abstraction Reasoning., , , , , , , , , and . CoRR, (2024)Improving Wikipedia verifiability with AI., , , , , , , , , and 4 other author(s). Nat. Mac. Intell., 5 (10): 1142-1148 (October 2023)