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Update README.md
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lemanschik authored Jul 4, 2023
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| 2022-09 | Sparrow | DeepMind | [Improving alignment of dialogue agents via targeted human judgements](https://arxiv.org/pdf/2209.14375.pdf) | |
| 2022-10 | Flan-T5/PaLM | Google | [Scaling Instruction-Finetuned Language Models](https://arxiv.org/pdf/2210.11416.pdf) | |
| 2022-10 | GLM-130B | Tsinghua | [GLM-130B: An Open Bilingual Pre-trained Model](https://arxiv.org/pdf/2210.02414.pdf) | ICLR |
| 2022-11 | HELM | Stanford | [Holistic Evaluation of Language Models](https://arxiv.org/pdf/2211.09110.pdf) | |
| 2022-11 | HELM | Stanford | [Holistic Evaluation of Language Models](https://arxiv.org/pdf/2211.09110.pdf) |
| 2022-11 | BLOOM | BigScience | [BLOOM: A 176B-Parameter Open-Access Multilingual Language Model](https://arxiv.org/pdf/2211.05100.pdf) | |
| 2022-11 | Galactica | Meta | [Galactica: A Large Language Model for Science](https://arxiv.org/pdf/2211.09085.pdf) | |
| 2022-12 | OPT-IML | Meta | [OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization](https://arxiv.org/pdf/2212.12017) | |
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| 2023-05 | Dromedary | CMU et al. | [Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision](https://arxiv.org/abs/2305.03047)||
| 2023-05 | PaLM 2 | Google | [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf)||
| 2023-05 | RWKV | Bo Peng | [RWKV: Reinventing RNNs for the Transformer Era](https://arxiv.org/abs/2305.13048) ||
| 2022-05 | Direct Preference Optimization | Stanford | [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://arxiv.org/pdf/2305.18290.pdf) ||



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