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Editorial · Models
Every model, measured.
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§ 01 · Natural Language Processing models
790 models in Natural Language Processing · page 16 of 16.
| # | Model | Vendor | Parameters | Architecture | SOTA | Benchmarks | Results |
|---|---|---|---|---|---|---|---|
| 751 | E5-Mistral-7B-instruct | Microsoft | 7B | Mistral-7B (LLM-based embedding) | 3 | 3 | |
| 752 | Gemini Ultra | Google DeepMind | Unknown | Transformer (decoder-only) | 3 | 3 | |
| 753 | PEGASUS-Large | Unknown | Transformer encoder-decoder (gap-sentence generation pre-training) | 1 | 3 | ||
| 754 | Claude 3.5 Sonnet | Anthropic | — | Transformer (LLM) | 2 | 2 | |
| 755 | ColBERTv2 | Stanford | 110M | BERT (late interaction) | 2 | 2 | |
| 756 | Mistral 7B | Mistral AI | Unknown | Transformer (decoder-only, GQA + sliding window attention) | 2 | 2 | |
| 757 | ST-MoE-32B | Google Brain | Unknown | Sparse Mixture-of-Experts Transformer | 2 | 2 | |
| 758 | ALBERT-xxlarge-v2 | 235M | ALBERT-xxlarge | 1 | 1 | ||
| 759 | BERT (Google AI) | Google AI | — | — | 1 | 1 | |
| 760 | BERT + AoA | HIT & iFLYTEK | — | — | 1 | 1 | |
| 761 | BERT + ConvLSTM + MTL + Verifier (ensemble) | Layer 6 AI | — | — | 1 | 1 | |
| 762 | BERT + DAE + AoA (single model) | HIT & iFLYTEK | — | — | 1 | 1 | |
| 763 | DeBERTa (ensemble) | Microsoft | — | — | 1 | 1 | |
| 764 | DeepL | DeepL SE | — | Transformer (NMT) | 1 | 1 | |
| 765 | ERNIE 3.0 | Baidu | — | — | 1 | 1 | |
| 766 | Enhanced Albert+Verifier3 (ensemble) | Microsoft STCA AIC | — | — | 1 | 1 | |
| 767 | Google Translate | — | Transformer (NMT) | 1 | 1 | ||
| 768 | Hanvon_model (single model) | Hanvon_WuHan | — | — | 1 | 1 | |
| 769 | Insight-baseline-BERT (single model) | PAII Insight Team | — | — | 1 | 1 | |
| 770 | Logistic Regression (SQuAD baseline) | Stanford NLP | — | — | 1 | 1 | |
| 771 | MonoT5-3B | Castorini (Waterloo) | 3B | T5-3B (seq2seq reranker) | 1 | 1 | |
| 772 | NLLB-3.3B | Meta AI | 3.3B | Transformer (dense MT) | 1 | 1 | |
| 773 | PaLM 2 (Large) | Unknown | Transformer (decoder-only) | 1 | 1 | ||
| 774 | RoBERTa (single model) | Facebook AI | — | — | 1 | 1 | |
| 775 | RoBERTa+Verify (single model) | CW | — | — | 1 | 1 | |
| 776 | RoBERTa-large | Facebook AI | 355M | BERT-large (robustly optimized) | 1 | 1 | |
| 777 | SLQA+ (single model) | Alibaba iDST | — | — | 1 | 1 | |
| 778 | SpanBERT (single model) | FAIR & UW | — | — | 1 | 1 | |
| 779 | TAPAS-large | 340M | BERT-large (table-augmented) | 1 | 1 | ||
| 780 | XLM-RoBERTa-large | Facebook AI | 560M | RoBERTa-large (multilingual) | 1 | 1 | |
| 781 | XLNet (single, Verified XiaoPAI) | Verified XiaoPAI | — | — | 1 | 1 | |
| 782 | XLNet+Verifier (single, Google/CMU) | Google/CMU | — | — | 1 | 1 | |
| 783 | XLNet+Verifier (single, Ping An) | Ping An Life Insurance | — | — | 1 | 1 | |
| 784 | all-MiniLM-L6-v2 | Sentence-Transformers | 22M | MiniLM-L6 (BERT-like) | 1 | 1 | |
| 785 | gpt-4-turbo-2024-04-09 | Unknown | — | — | 1 | 1 | |
| 786 | jina-embeddings-v3 | Jina AI | 570M | Transformer with task LoRA | 1 | 1 | |
| 787 | jina-reranker-v2-base-multilingual | Jina AI | 278M | Transformer (multilingual cross-encoder) | 1 | 1 | |
| 788 | mDeBERTa-v3-base | Microsoft | 86M | DeBERTa-v3 (multilingual) | 1 | 1 | |
| 789 | text-embedding-3-large | OpenAI | — | Transformer | 1 | 1 | |
| 790 | voyage-3-large | Voyage AI | — | Transformer | 1 | 1 |