paper-with-me

Word Sense Disambiguation 벤치마크

Word Sense Disambiguation on Words in Context

37개 결과 · ⬇ CSV · JSON

Accuracy

49.1 58.15 67.2 76.25 85.3 2018-08 2026-09 BERT-large 340M — 65.5 (2018-08-28) Context2vec — 59.3 (2018-08-28) DeConf — 58.7 (2018-08-28) SW2V — 58.1 (2018-08-28) ElMo — 57.7 (2018-08-28) Sentence LSTM — 53.1 (2018-08-28) SenseBERT-large 340M — 72.1 (2019-08-15) SenseBERT-base 110M — 70.3 (2019-08-15) T5-XXL 11B — 76.9 (2019-10-23) GPT-3 175B (few-shot, k=32) — 49.4 (2020-05-28) DeBERTa-Ensemble — 77.5 (2020-06-05) DeBERTa-1.5B — 76.4 (2020-06-05) COSINE + Transductive Learning — 85.3 (2020-10-15) ST-MoE-32B 269B (fine-tuned) — 77.7 (2022-02-17) ST-MoE-L 4.1B (fine-tuned) — 74.0 (2022-02-17) PaLM 540B (finetuned) — 78.8 (2022-04-05) UL2 20B (fine-tuned) — 77.3 (2022-05-10) UL2 20B (0-shot) — 49.8 (2022-05-10) N-Grammer 343M — 56.1 (2022-07-13) AlexaTM 20B — 53.3 (2022-08-02) Flipped-3B — 50.42 (2022-10-06) KiC-770M — 52.4 (2022-10-28) Vega v2 6B (fine-tuned) — 77.4 (2022-12-04) Turing NLR v5 XXL 5.4B (fine-tuned) — 77.1 (2022-12-04) Hybrid H3 125M (0-shot, logit scoring) — 51.4 (2022-12-28) Hybrid H3 125M (0-shot, rank classification) — 51.4 (2022-12-28) Hybrid H3 125M (3-shot, logit scoring) — 49.1 (2022-12-28) RoE-3B — 52.97 (2023-02-07) FLAN-T5-Large 783M — 64.7 (2023-04-27) LaMini-F-T5 783M — 63.8 (2023-04-27) LaMini-GPT 1.5B — 52.4 (2023-04-27) LaMini-T5 738M — 50.5 (2023-04-27) GPT-2-XL 1.5B — 49.8 (2023-04-27) PaLM 2-L (one-shot) — 66.8 (2023-05-17) PaLM 2-M (one-shot) — 52.0 (2023-05-17) PaLM 2-S (one-shot) — 50.6 (2023-05-17) T0-3B (CoT fine-tuned) — 56.7 (2023-05-23) BERT-large 340M — 65.5 (2018-08-28) SenseBERT-large 340M — 72.1 (2019-08-15) T5-XXL 11B — 76.9 (2019-10-23) DeBERTa-Ensemble — 77.5 (2020-06-05) COSINE + Transductive Learning — 85.3 (2020-10-15)
RankModel Accuracy PaperCodeYear
1 COSINE + Transductive Learning 85.3 Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach yueyu1030/COSINE 2020
2 PaLM 540B (finetuned) 78.8 PaLM: Scaling Language Modeling with Pathways lucidrains/CoCa-pytorch · lucidrains/PaLM-pytorch · google/paxml · +4 2022
3 ST-MoE-32B 269B (fine-tuned) 77.7 ST-MoE: Designing Stable and Transferable Sparse Expert Models tensorflow/mesh · xuefuzhao/openmoe · yikangshen/megablocks 2022
4 DeBERTa-Ensemble 77.5 DeBERTa: Decoding-enhanced BERT with Disentangled Attention huggingface/transformers · microsoft/DeBERTa · osu-nlp-group/mind2web · +11 2020
5 Vega v2 6B (fine-tuned) 77.4 Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE 2022
6 UL2 20B (fine-tuned) 77.3 UL2: Unifying Language Learning Paradigms google-research/google-research · opennlg/openba-v2 2022
7 Turing NLR v5 XXL 5.4B (fine-tuned) 77.1 Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE 2022
8 T5-XXL 11B 76.9 Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer huggingface/transformers · PaddlePaddle/PaddleNLP · google-research/text-to-text-transfer-transformer · +54 2019
9 DeBERTa-1.5B 76.4 DeBERTa: Decoding-enhanced BERT with Disentangled Attention huggingface/transformers · microsoft/DeBERTa · osu-nlp-group/mind2web · +11 2020
10 ST-MoE-L 4.1B (fine-tuned) 74 ST-MoE: Designing Stable and Transferable Sparse Expert Models tensorflow/mesh · xuefuzhao/openmoe · yikangshen/megablocks 2022
11 SenseBERT-large 340M 72.1 SenseBERT: Driving Some Sense into BERT 2019
12 SenseBERT-base 110M 70.3 SenseBERT: Driving Some Sense into BERT 2019
13 PaLM 2-L (one-shot) 66.8 PaLM 2 Technical Report eternityyw/tram-benchmark 2023
14 BERT-large 340M 65.5 WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations 2018
15 FLAN-T5-Large 783M 64.7 LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions mbzuai-nlp/lamini-lm 2023
16 LaMini-F-T5 783M 63.8 LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions mbzuai-nlp/lamini-lm 2023
17 Context2vec 59.3 WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations 2018
18 DeConf 58.7 WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations 2018
19 SW2V 58.1 WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations 2018
20 ElMo 57.7 WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations 2018
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