add references of embedding models papers

README.md

@@ -265,22 +265,26 @@
 | GPT-2 | 2019.02.14 | - | [Language Models are Unsupervised Multitask Learners](https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf) |
 | XLNet | 2019.06.19 | NeurIPS 2019 | [XLNet: Generalized Autoregressive Pretraining for Language Understanding](https://arxiv.org/abs/1906.08237) |
 | RoBERTa | 2019.07.26 | - | [RoBERTa: A Robustly Optimized BERT Pretraining Approach](https://arxiv.org/abs/1907.11692) |
+| Sentence-BERT | 2019.08.27 | EMNLP-IJCNLP 2019 | [Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://aclanthology.org/D19-1410/) |
 | ALBERT | 2019.09.26 | ICLR 2020 | [ALBERT: A Lite BERT for Self-supervised Learning of Language Representations](https://arxiv.org/abs/1909.11942) |
 | DistilBERT | 2019.10.02 | EMC2 Workshop at NeurIPS 2019 | [DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter](https://arxiv.org/abs/1910.01108) |
-| T5 | 2019.10.23 | JMLR 2020 | [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://arxiv.org/abs/1910.10683) | 
+| T5 | 2019.10.23 | JMLR 2020 | [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://arxiv.org/abs/1910.10683) |
 | BART | 2019.10.29 | ACL 2020 | [BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension](https://aclanthology.org/2020.acl-main.703/) |
-| ELECTRA | 2020.03.23 | ICLR 2020 | [ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators](https://arxiv.org/abs/2003.10555) | 
+| ELECTRA | 2020.03.23 | ICLR 2020 | [ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators](https://arxiv.org/abs/2003.10555) |
 | GPT-3 | 2020.05.28 | NeurIPS 2020 | [Language Models are Few-Shot Learners](https://arxiv.org/abs/2005.14165) |
 | DeBERTa | 2020.06.05 | ICLR 2021 | [DeBERTa: Decoding-enhanced BERT with Disentangled Attention](https://arxiv.org/abs/2006.03654) |
 | BigBird | 2020.07.28 | NeurIPS 2020 | [Big Bird: Transformers for Longer Sequences](https://arxiv.org/abs/2007.14062) |
 | LUKE | 2020.10.02 | EMNLP 2020 | [LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention](https://aclanthology.org/2020.emnlp-main.523/) |
 | CLIP | 2021.02.26 | ICML 2021 | [Learning Transferable Visual Models From Natural Language Supervision](https://arxiv.org/abs/2103.00020) |
+| SimCSE | 2021.04.18 | EMNLP 2021 | [SimCSE: Simple Contrastive Learning of Sentence Embeddings](https://aclanthology.org/2021.emnlp-main.552/) |
 | RoFormer | 2021.04.20 | - | [RoFormer: Enhanced Transformer with Rotary Position Embedding](https://arxiv.org/abs/2104.09864) |
 | CLOOB | 2021.10.21 | NeurIPS 2022 | [CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP](https://arxiv.org/abs/2110.11316) |
 | Stable Diffusion | 2021.12.20 | CVPR 2022 | [High-Resolution Image Synthesis With Latent Diffusion Models](https://arxiv.org/abs/2112.10752) |
 | BLIP | 2022.01.28 | ICML 2022 | [BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation](https://arxiv.org/abs/2201.12086) |
+| MixCSE | 2022.02.22 | AAAI 2022 | [Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives](https://ojs.aaai.org/index.php/AAAI/article/view/21428) |
 | InstructGPT | 2022.03.04 | NeurIPS 2022 | [Training language models to follow instructions with human feedback](https://arxiv.org/abs/2203.02155) |
 | GPT-NeoX | 2022.04.14 | BigScience Research Workshop at ACL 2022 | [GPT-NeoX-20B: An Open-Source Autoregressive Language Model](https://aclanthology.org/2022.bigscience-1.9/) |
+| DiffCSE | 2022.04.21 | NAACL 2022 | [DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings](https://aclanthology.org/2022.naacl-main.311/) |
 | GIT | 2022.05.27 | TMLR 2022 | [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) |
 | BLIP-2 | 2023.01.30 | ICML 2023 | [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv.org/abs/2301.12597) |
 | Llama | 2023.02.27 | - | [LLaMA: Open and Efficient Foundation Language Models](https://arxiv.org/abs/2302.13971) | 

README_en.md

@@ -265,6 +265,7 @@ Please point out any errors on the [issues page](https://github.com/llm-jp/aweso
 | GPT-2 | 2019.02.14 | - | [Language Models are Unsupervised Multitask Learners](https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf) |
 | XLNet | 2019.06.19 | NeurIPS 2019 | [XLNet: Generalized Autoregressive Pretraining for Language Understanding](https://arxiv.org/abs/1906.08237) |
 | RoBERTa | 2019.07.26 | - | [RoBERTa: A Robustly Optimized BERT Pretraining Approach](https://arxiv.org/abs/1907.11692) |
+| Sentence-BERT | 2019.08.27 | EMNLP-IJCNLP 2019 | [Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://aclanthology.org/D19-1410/) |
 | ALBERT | 2019.09.26 | ICLR 2020 | [ALBERT: A Lite BERT for Self-supervised Learning of Language Representations](https://arxiv.org/abs/1909.11942) |
 | DistilBERT | 2019.10.02 | EMC2 Workshop at NeurIPS 2019 | [DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter](https://arxiv.org/abs/1910.01108) |
 | T5 | 2019.10.23 | JMLR 2020 | [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://arxiv.org/abs/1910.10683) |
@@ -275,12 +276,15 @@ Please point out any errors on the [issues page](https://github.com/llm-jp/aweso
 | BigBird | 2020.07.28 | NeurIPS 2020 | [Big Bird: Transformers for Longer Sequences](https://arxiv.org/abs/2007.14062) |
 | LUKE | 2020.10.02 | EMNLP 2020 | [LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention](https://aclanthology.org/2020.emnlp-main.523/) |
 | CLIP | 2021.02.26 | ICML 2021 | [Learning Transferable Visual Models From Natural Language Supervision](https://arxiv.org/abs/2103.00020) |
+| SimCSE | 2021.04.18 | EMNLP 2021 | [SimCSE: Simple Contrastive Learning of Sentence Embeddings](https://aclanthology.org/2021.emnlp-main.552/) |
 | RoFormer | 2021.04.20 | - | [RoFormer: Enhanced Transformer with Rotary Position Embedding](https://arxiv.org/abs/2104.09864) |
 | CLOOB | 2021.10.21 | NeurIPS 2022 | [CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP](https://arxiv.org/abs/2110.11316) |
 | Stable Diffusion | 2021.12.20 | CVPR 2022 | [High-Resolution Image Synthesis With Latent Diffusion Models](https://arxiv.org/abs/2112.10752) |
 | BLIP | 2022.01.28 | ICML 2022 | [BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation](https://arxiv.org/abs/2201.12086) |
+| MixCSE | 2022.02.22 | AAAI 2022 | [Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives](https://ojs.aaai.org/index.php/AAAI/article/view/21428) |
 | InstructGPT | 2022.03.04 | NeurIPS 2022 | [Training language models to follow instructions with human feedback](https://arxiv.org/abs/2203.02155) |
 | GPT-NeoX | 2022.04.14 | BigScience Research Workshop at ACL 2022 | [GPT-NeoX-20B: An Open-Source Autoregressive Language Model](https://aclanthology.org/2022.bigscience-1.9/) |
+| DiffCSE | 2022.04.21 | NAACL 2022 | [DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings](https://aclanthology.org/2022.naacl-main.311/) |
 | GIT | 2022.05.27 | TMLR 2022 | [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) |
 | BLIP-2 | 2023.01.30 | ICML 2023 | [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv.org/abs/2301.12597) |
 | Llama | 2023.02.27 | - | [LLaMA: Open and Efficient Foundation Language Models](https://arxiv.org/abs/2302.13971) | 

README_fr.md

@@ -265,6 +265,7 @@ N'hésitez pas à signaler les erreurs sur la page [issues](https://github.com/l
 | GPT-2 | 2019.02.14 | - | [Language Models are Unsupervised Multitask Learners](https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf) |
 | XLNet | 2019.06.19 | NeurIPS 2019 | [XLNet: Generalized Autoregressive Pretraining for Language Understanding](https://arxiv.org/abs/1906.08237) |
 | RoBERTa | 2019.07.26 | - | [RoBERTa: A Robustly Optimized BERT Pretraining Approach](https://arxiv.org/abs/1907.11692) |
+| Sentence-BERT | 2019.08.27 | EMNLP-IJCNLP 2019 | [Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://aclanthology.org/D19-1410/) |
 | ALBERT | 2019.09.26 | ICLR 2020 | [ALBERT: A Lite BERT for Self-supervised Learning of Language Representations](https://arxiv.org/abs/1909.11942) |
 | DistilBERT | 2019.10.02 | EMC2 Workshop at NeurIPS 2019 | [DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter](https://arxiv.org/abs/1910.01108) |
 | T5 | 2019.10.23 | JMLR 2020 | [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://arxiv.org/abs/1910.10683) |
@@ -275,18 +276,21 @@ N'hésitez pas à signaler les erreurs sur la page [issues](https://github.com/l
 | BigBird | 2020.07.28 | NeurIPS 2020 | [Big Bird: Transformers for Longer Sequences](https://arxiv.org/abs/2007.14062) |
 | LUKE | 2020.10.02 | EMNLP 2020 | [LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention](https://aclanthology.org/2020.emnlp-main.523/) |
 | CLIP | 2021.02.26 | ICML 2021 | [Learning Transferable Visual Models From Natural Language Supervision](https://arxiv.org/abs/2103.00020) |
+| SimCSE | 2021.04.18 | EMNLP 2021 | [SimCSE: Simple Contrastive Learning of Sentence Embeddings](https://aclanthology.org/2021.emnlp-main.552/) |
 | RoFormer | 2021.04.20 | - | [RoFormer: Enhanced Transformer with Rotary Position Embedding](https://arxiv.org/abs/2104.09864) |
 | CLOOB | 2021.10.21 | NeurIPS 2022 | [CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP](https://arxiv.org/abs/2110.11316) |
 | Stable Diffusion | 2021.12.20 | CVPR 2022 | [High-Resolution Image Synthesis With Latent Diffusion Models](https://arxiv.org/abs/2112.10752) |
 | BLIP | 2022.01.28 | ICML 2022 | [BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation](https://arxiv.org/abs/2201.12086) |
+| MixCSE | 2022.02.22 | AAAI 2022 | [Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives](https://ojs.aaai.org/index.php/AAAI/article/view/21428) |
 | InstructGPT | 2022.03.04 | NeurIPS 2022 | [Training language models to follow instructions with human feedback](https://arxiv.org/abs/2203.02155) |
 | GPT-NeoX | 2022.04.14 | BigScience Research Workshop at ACL 2022 | [GPT-NeoX-20B: An Open-Source Autoregressive Language Model](https://aclanthology.org/2022.bigscience-1.9/) |
+| DiffCSE | 2022.04.21 | NAACL 2022 | [DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings](https://aclanthology.org/2022.naacl-main.311/) |
 | GIT | 2022.05.27 | TMLR 2022 | [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) |
 | BLIP-2 | 2023.01.30 | ICML 2023 | [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv.org/abs/2301.12597) |
 | Llama | 2023.02.27 | - | [LLaMA: Open and Efficient Foundation Language Models](https://arxiv.org/abs/2302.13971) | 
 | GPT-4 | 2023.03.15 | - | [GPT-4 Technical Report](https://arxiv.org/abs/2303.08774) |
 | SigLIP | 2023.03.27 | ICCV 2023 | [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) |
-| LLaVA | 2023.04.17 | NeurIPS 2023 | [Visual Instruction Tuning](https://arxiv.org/abs/2304.08485) | 
+| LLaVA | 2023.04.17 | NeurIPS 2023 | [Visual Instruction Tuning](https://arxiv.org/abs/2304.08485) |
 | MiniGPT-4 | 2023.04.20 | - | [MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models](https://arxiv.org/abs/2304.10592) |
 | InstructBLIP | 2023.05.11 | - | [InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning](https://arxiv.org/abs/2305.06500) |
 | RWKV | 2023.05.22 | - | [RWKV: Reinventing RNNs for the Transformer Era](https://arxiv.org/abs/2305.13048) |