リンク英語版に置き換え・その他

README.md

@@ -108,7 +108,7 @@
 | [東大BERT](https://sites.google.com/socsim.org/izumi-lab/tools/language-model) | BERT (small) | 日本語 Wikipedia (約2,000万文 (2.9GB)) | 東大 和泉・坂地研 | CC BY-SA 4.0 | [◯](https://huggingface.co/izumi-lab/bert-small-japanese) |
 | [chiTra (Sudachi Transformers)](https://www.worksap.co.jp/news/2022/0225/) | BERT (base) | 国語研日本語ウェブコーパス (NWJC) (148GB) | NINJAL & ワークス徳島人工知能NLP研 | Apache 2.0 | △ |
 | [ACCMS BERT](https://huggingface.co/ku-accms/bert-base-japanese-ssuw) | BERT (base) | 日本語 Wikipedia (3.3GB) | 京大 ACCMS | CC BY-SA 4.0 | [◯](https://huggingface.co/ku-accms/bert-base-japanese-ssuw) |
-| [日立BERT](https://arxiv.org/pdf/2306.09572.pdf) | BERT (base) | 日本語 Wikipedia <br>+ Japanese CC-100 | 日立製作所 | CC BY-NC-SA 4.0 | [◯](https://huggingface.co/hitachi-nlp/bert-base-japanese_jumanpp-bpe) [^6] |
+| [日立BERT](https://aclanthology.org/2023.acl-srw.5.pdf) | BERT (base) | 日本語 Wikipedia <br>+ Japanese CC-100 | 日立製作所 | CC BY-NC-SA 4.0 | [◯](https://huggingface.co/hitachi-nlp/bert-base-japanese_jumanpp-bpe) [^6] |
 | [Bandai Namco DistilBERT](https://github.com/BandaiNamcoResearchInc/DistilBERT-base-jp/blob/main/docs/GUIDE.md) | DistilBERT | - （東北大BERT(base) を親モデルとして知識蒸留） | Bandai Namco Research | MIT | [◯](https://huggingface.co/bandainamco-mirai/distilbert-base-japanese) |
 | [LINE DistilBERT](https://engineering.linecorp.com/ja/blog/line-distilbert-high-performance-fast-lightweight-japanese-language-model) | DistilBERT | - （LINE社内のBERTを親モデルとして知識蒸留）| LINE | Apache 2.0 | [◯](https://huggingface.co/line-corporation/line-distilbert-base-japanese) |
 | [rinna RoBERTa](https://rinna.co.jp/news/2021/08/20210825.html) | RoBERTa (base) |  日本語 Wikipedia <br>+ Japanese CC-100 | rinna | MIT | [◯](https://huggingface.co/rinna/japanese-roberta-base) |

README_en.md

@@ -44,7 +44,7 @@ Please point out any errors on the [issues page](https://github.com/llm-jp/aweso
 |    |  Architecture  |  Training Data  |  Developer  | License | HuggingFace?[^1] |
 |:---|:---:|:---:|:---:|:---:|:---:|
 | [LLM-jp-13B](https://www.nii.ac.jp/en/news/release/2023/1020.html) | GPT (1.3b-v1.0, **13b**-v1.0, **13b**-instruct-full-jaster-v1.0, **13b**-instruct-full-jaster-dolly-oasst-v1.0, **13b**-instruct-full-dolly-oasst-v1.0, **13b**-instruct-lora-jaster-v1.0, **13b**-instruct-lora-jaster-dolly-oasst-v1.0, **13b**-instruct-lora-dolly-oasst-v1.0) | Pre-training: [llm-jp-corpus](https://github.com/llm-jp/llm-jp-corpus) (Wikipedia, Japanese mC4, The Pile, Stack) (**300B** tokens)<br>Instruction Tuning (SFT or LoRA): jaster, Dolly Dataset, OASST1 | LLM-jp | Apache 2.0 | ([1.3b-v1.0](https://huggingface.co/llm-jp/llm-jp-1.3b-v1.0), [13b-v1.0](https://huggingface.co/llm-jp/llm-jp-13b-v1.0), [13b-instruct-full-jaster-v1.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-jaster-v1.0), [13b-instruct-full-jaster-dolly-oasst-v1.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-jaster-dolly-oasst-v1.0), [13b-instruct-full-dolly-oasst-v1.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-dolly-oasst-v1.0), [13b-instruct-lora-jaster-v1.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-lora-jaster-v1.0), [13b-instruct-lora-jaster-dolly-oasst-v1.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-lora-jaster-dolly-oasst-v1.0), [13b-instruct-lora-dolly-oasst-v1.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-lora-dolly-oasst-v1.0)) |
-| [PLaMo-13B](https://www.preferred.jp/ja/news/pr20230928/) | Llama-1[^2] <br>(**13b**) | C4, Project Gutenberg, RedPajama, Japanese Wikipedia, Japanese mC4<br>(**1.5T** tokens) | Preferred Networks | Apache 2.0 | [◯](https://huggingface.co/pfnet/plamo-13b) |
+| [PLaMo-13B](https://www.preferred.jp/en/news/pr20230928/) | Llama-1[^2] <br>(**13b**) | C4, Project Gutenberg, RedPajama, Japanese Wikipedia, Japanese mC4<br>(**1.5T** tokens) | Preferred Networks | Apache 2.0 | [◯](https://huggingface.co/pfnet/plamo-13b) |
 | [Weblab-10B](https://www.t.u-tokyo.ac.jp/press/pr2023-08-18-001) | GPT-NeoX <br> (**10b**, **10b**&#x2011;instruction&#x2011;sft) | Japanese mC4, The Pile <br> (**600B** tokens) <br>SFT: Alpaca, FLAN | University of Tokyo Matsuo Lab | CC BY&#x2011;NC 4.0 |  ◯ <br>([10b](https://huggingface.co/matsuo-lab/weblab-10b), [10b&#x2011;instruction&#x2011;sft](https://huggingface.co/matsuo-lab/weblab-10b-instruction&#x2011;sft)) |
 | [Japanese StableLM Alpha](https://stability.ai/blog/stability-ai-new-jplm-japanese-language-model-stablelm) | GPT-NeoX <br> (base-alpha-**7b**, instruct-alpha-**7b**, instruct-alpha-**7b**-v2) | Wikipedia, Japanese CC&#x2011;100, Japanese mC4, Japanese OSCAR, RedPajama, private datasets[^3]<br>(**750B** tokens)<br>SFT: Dolly, HH&#x2011;RLHF, wikinews,  Alpaca (discarded in v2) | Stability AI | base: Apache 2.0<br>instruct (v1): [Research license](https://huggingface.co/stabilityai/japanese-stablelm-instruct-alpha-7b/tree/main)<br>instruct (v2): Apache 2.0 | ◯<br>([base-alpha-7b](https://huggingface.co/stabilityai/japanese-stablelm-base-alpha-7b), [instruct-alpha-7b](https://huggingface.co/stabilityai/japanese-stablelm-instruct-alpha-7b), [instruct-alpha-7b-v2](https://huggingface.co/stabilityai/japanese-stablelm-instruct-alpha-7b-v2)) |
 | [OpenCALM](https://www.cyberagent.co.jp/news/detail/id=28817) | GPT-NeoX <br> (small(160M), medium(400M), large(800M), **1b**, **3b**, **7b**) | Japanese Wikipedia, Japanese mC4, Japanese CC&#x2011;100 | CyberAgent | CC BY&#x2011;SA 4.0 | ◯<br>([small](https://huggingface.co/cyberagent/open-calm-small), [medium](https://huggingface.co/cyberagent/open-calm-medium), [large](https://huggingface.co/cyberagent/open-calm-large), [1b](https://huggingface.co/cyberagent/open-calm-1b), [3b](https://huggingface.co/cyberagent/open-calm-3b), [7b](https://huggingface.co/cyberagent/open-calm-7b)) |
@@ -107,12 +107,12 @@ Please point out any errors on the [issues page](https://github.com/llm-jp/aweso
 | [UniversityOfTokyoBERT](https://sites.google.com/socsim.org/izumi-lab/tools/language-model) | BERT (small) | Japanese Wikipedia (2.9GB) | University of Tokyo Izumi-Sakaji Lab | CC BY&#x2011;SA 4.0 | [◯](https://huggingface.co/izumi-lab/bert-small-japanese) |
 | [chiTra (Sudachi Transformers)](https://www.worksap.co.jp/news/2022/0225/) | BERT (base) | NINJAL Web Japanese Corpus (148GB) | NINJAL & WAP Tokushima Laboratory of AI and NLP | Apache 2.0 | △ |
 | [ACCMS BERT](https://huggingface.co/ku-accms/bert-base-japanese-ssuw) | BERT (base) | Japanese Wikipedia (3.3GB) | Kyoto University ACCMS | CC BY&#x2011;SA 4.0 | [◯](https://huggingface.co/ku-accms/bert-base-japanese-ssuw) |
-| [HitachiBERT](https://arxiv.org/pdf/2306.09572.pdf) | BERT (base) | Japanese Wikipedia, Japanese CC&#x2011;100 | Hitachi | CC BY&#x2011;NC&#x2011;SA 4.0 | [◯](https://huggingface.co/hitachi-nlp/bert-base-japanese_jumanpp-bpe)[^6] |
-| [Bandai Namco DistilBERT](https://github.com/BandaiNamcoResearchInc/DistilBERT-base-jp/blob/main/docs/GUIDE.md) | DistilBERT |  (Distillation of TohokuUniversityBERT(base))  | Bandai Namco Research | MIT | [◯](https://huggingface.co/bandainamco-mirai/distilbert-base-japanese) |
+| [HitachiBERT](https://aclanthology.org/2023.acl-srw.5.pdf) | BERT (base) | Japanese Wikipedia, Japanese CC&#x2011;100 | Hitachi | CC BY&#x2011;NC&#x2011;SA 4.0 | [◯](https://huggingface.co/hitachi-nlp/bert-base-japanese_jumanpp-bpe)[^6] |
+| [Bandai Namco DistilBERT](https://github.com/BandaiNamcoResearchInc/DistilBERT-base-jp) | DistilBERT |  (Distillation of TohokuUniversityBERT(base))  | Bandai Namco Research | MIT | [◯](https://huggingface.co/bandainamco-mirai/distilbert-base-japanese) |
 | [LINE DistilBERT](https://engineering.linecorp.com/ja/blog/line-distilbert-high-performance-fast-lightweight-japanese-language-model) | DistilBERT | (Distillation of LINE internal BERT model)| LINE | Apache 2.0 | [◯](https://huggingface.co/line-corporation/line-distilbert-base-japanese) |
 | [rinna RoBERTa](https://rinna.co.jp/news/2021/08/20210825.html) | RoBERTa (base) |  Japanese Wikipedia, Japanese CC&#x2011;100 | rinna | MIT | [◯](https://huggingface.co/rinna/japanese-roberta-base) |
 | [WasedaRoBERTa](https://huggingface.co/nlp-waseda/roberta-base-japanese-with-auto-jumanpp) | RoBERTa (base, large) | Japanese Wikipedia, Japanese CC&#x2011;100 | Waseda Kawahara Lab | CC BY&#x2011;SA 4.0 | ◯<br>([base](https://huggingface.co/nlp-waseda/roberta-base-japanese-with-auto-jumanpp), [large](https://huggingface.co/nlp-waseda/roberta-large-japanese-with-auto-jumanpp), [large (seq512)](https://huggingface.co/nlp-waseda/roberta-large-japanese-seq512-with-auto-jumanpp))[^7] |
-| [InformatixRoBERTa](https://www.informatix.co.jp/pr-roberta/) | RoBERTa (base) | Japanese Wikipedia, Web Articles <br> (25GB) | Informatix | Apache 2.0 | △ |
+| [InformatixRoBERTa](https://www.informatix.co.jp/en/pr-roberta/) | RoBERTa (base) | Japanese Wikipedia, Web Articles <br> (25GB) | Informatix | Apache 2.0 | △ |
 | [KyotoUniversityRoBERTa](https://huggingface.co/ku-nlp/roberta-base-japanese-char-wwm) | RoBERTa (base, large) | Japanese Wikipedia, Japanese CC&#x2011;100 | Kyoto University Language Media Processing Lab | CC BY&#x2011;SA 4.0 | ◯<br>([base (char-level)](https://huggingface.co/ku-nlp/roberta-base-japanese-char-wwm), [large (char-level)](https://huggingface.co/ku-nlp/roberta-large-japanese-char-wwm)) |
 | [YokohamaNationalRoBERTa](https://huggingface.co/ganchengguang/RoBERTa-base-janpanese) | RoBERTa (base) | Japanese Wikipedia (3.45GB) | Yokohama National University Mori Lab | Apache 2.0 | [◯](https://huggingface.co/ganchengguang/RoBERTa-base-janpanese) |
 | [Megagon Labs RoBERTa](https://huggingface.co/megagonlabs/roberta-long-japanese) | RoBERTa (base)[^8] | Japanese mC4 (200M sentences) | Megagon Labs <br> (Recruit) | MIT | [◯](https://huggingface.co/megagonlabs/roberta-long-japanese)  |