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LLaMA: Open and Efficient Foundation Language Models., , , , , , , , , и 4 other автор(ы). CoRR, (2023)GPflux: A Library for Deep Gaussian Processes., , , , , , , , , и . CoRR, (2021)Dungeons and Data: A Large-Scale NetHack Dataset., , , , , , и . NeurIPS, (2022)Insights From the NeurIPS 2021 NetHack Challenge., , , , , , , , , и 19 other автор(ы). NeurIPS (Competition and Demos), том 176 из Proceedings of Machine Learning Research, стр. 41-52. PMLR, (2021)MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research., , , , , , , , , и . NeurIPS Datasets and Benchmarks, (2021)LLaMA: Open and Efficient Foundation Language Models, , , , , , , , , и 4 other автор(ы). CoRR, (2023)Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts., , , , , , , , , и 2 other автор(ы). CoRR, (2024)GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements., , , , , , и . CoRR, (2024)Llama: Open and efficient foundation language models, , , , , , , , , и 1 other автор(ы). arXiv preprint arXiv:2302.13971, (2023)Insights From the NeurIPS 2021 NetHack Challenge., , , , , , , , , и 19 other автор(ы). CoRR, (2022)