|
|
@@ -41,6 +41,7 @@
|
|
|
| 2022-06 | METALM | Microsoft | [Language Models are General-Purpose Interfaces](https://arxiv.org/pdf/2206.06336.pdf) | |
|
|
|
| 2022-09 | Sparrow | DeepMind | [Improving alignment of dialogue agents via targeted human judgements](https://arxiv.org/pdf/2209.14375.pdf) | |
|
|
|
| 2022-10 | Flan-T5 | 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 | 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) | |
|
Hannibal046