MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety

Language models are few-shot learners

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On the cross-lingual transferability of monolingual representations

Original

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Reverse curriculum generation for reinforcement learning

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Automated curriculum learning for neural networks

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Self-paced prioritized curriculum learning with coverage penalty in deep reinforcement learning

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On the power of curriculum learning in training deep networks

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Teacher–student curriculum learning

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Curriculum learning for reinforcement learning domains: A framework and survey

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Transformers: State-of-the-art natural language processing

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Training language models to follow instructions with human feedback

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Curriculum learning: A survey

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Petru Soviany, Radu Tudor Ionescu, Paolo Rota, and Nicu Sebe. 2022 · 2022

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Jailbreaking black box large language models in twenty queries

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Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J Pappas, and Eric Wong. 2023 · 2023

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Fireact: Toward language agent fine-tuning

Original

Baian Chen, Chang Shu, Ehsan Shareghi, Nigel Collier, Karthik Narasimhan, and Shunyu Yao. 2023 · 2023

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Multilingual jailbreak challenges in large language models

Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, and Lidong Bing. 2023 · 2023

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Qlora: Efficient finetuning of quantized llms

Original

Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2023 · 2023

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Llama guard: Llm-based input-output safeguard for human-ai conversations

Original

Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, and 1 others. 2023 · 2023

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Mistral 7b

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Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, and 1 others. 2023 · 2023

Cited alongside, same era.

Efficient memory management for large language model serving with pagedattention

Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Hao Zhang, and Ion Stoica. 2023 · 2023

Cited alongside, same era.

Direct preference optimization: Your language model is secretly a reward model

Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, and Chelsea Finn. 2023 · 2023

Cited alongside, same era.

NeMo guardrails: A toolkit for controllable and safe LLM applications with programmable rails

Traian Rebedea, Razvan Dinu, Makesh Narsimhan Sreedhar, Christopher Parisien, and Jonathan Cohen. 2023 · 2023

Cited alongside, same era.

Llama: Open and efficient foundation language models

Original

Vineppo: Unlocking rl potential for llm reasoning through refined credit assignment

Original

Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron Courville, and Nicolas Le Roux. 2024 · 2024

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Salad-bench: A hierarchical and comprehensive safety benchmark for large language models

Original

Lijun Li, Bowen Dong, Ruohui Wang, Xuhao Hu, Wangmeng Zuo, Dahua Lin, Yu Qiao, and Jing Shao. 2024 · 2024

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Multilingual large language model: A survey of resources, taxonomy and frontiers

Original

Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, and Philip S Yu. 2024 · 2024

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Mapo: Advancing multilingual reasoning through multilingual alignment-as-preference optimization

Original

Shuaijie She, Wei Zou, Shujian Huang, Wenhao Zhu, Xiang Liu, Xiang Geng, and Jiajun Chen. 2024 · 2024

Later among the works it cites.