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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)Shepherd: A Critic for Language Model Generation., , , , , , , , , and . CoRR, (2023)Improving Wikipedia verifiability with AI., , , , , , , , , and 4 other author(s). Nat. Mac. Intell., 5 (10): 1142-1148 (October 2023)TimelineQA: A Benchmark for Question Answering over Timelines., , , , , , and . ACL (Findings), page 77-91. Association for Computational Linguistics, (2023)Active Learning Principles for In-Context Learning with Large Language Models., , , and . EMNLP (Findings), page 5011-5034. Association for Computational Linguistics, (2023)Atlas: Few-shot Learning with Retrieval Augmented Language Models., , , , , , , , , and . J. Mach. Learn. Res., (2023)Few-shot Learning with Retrieval Augmented Language Models., , , , , , , , , and . CoRR, (2022)