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Toolformer: Language Models Can Teach Themselves to Use Tools., , , , , , , and . CoRR, (2023)Few-shot Learning with Retrieval Augmented Language Models., , , , , , , , , and . CoRR, (2022)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 . ICML, OpenReview.net, (2024)Atlas: Few-shot Learning with Retrieval Augmented Language Models., , , , , , , , , and . J. Mach. Learn. Res., (2023)Atlas: Few-shot Learning with Retrieval Augmented Language Models, , , , , , , , , and . (2022)cite arxiv:2208.03299.Affective Signals in a Social Media Recommender System., , , , and . KDD, page 2831-2841. ACM, (2022)EditEval: An Instruction-Based Benchmark for Text Improvements., , , , , , , , and . CoRR, (2022)NormBank: A Knowledge Bank of Situational Social Norms., , , , and . ACL (1), page 7756-7776. Association for Computational Linguistics, (2023)FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations., , and . CoRR, (2024)