STS-B
8 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in STS-B
GLUE
STS Benchmark
Most implemented papers
Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity
This paper presents the first Swedish evaluation benchmark for textual semantic similarity.
Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning
GuangyuZheng/MACD
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EMNLP 2020
MACD forces the decoupled text encoder to represent the visual information via contrastive learning.
Extracting Latent Steering Vectors from Pretrained Language Models
Experiments show that there exist steering vectors, which, when added to the hidden states of the language model, generate a target sentence nearly perfectly (> 99 BLEU) for English sentences from a variety of domains.
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
BorealisAI/ranksim-imbalanced-regression
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Data imbalance, in which a plurality of the data samples come from a small proportion of labels, poses a challenge in training deep neural networks.
Semantic similarity prediction is better than other semantic similarity measures
Semantic similarity between natural language texts is typically measured either by looking at the overlap between subsequences (e. g., BLEU) or by using embeddings (e. g., BERTScore, S-BERT).
Unsupervised hard Negative Augmentation for contrastive learning
claudiashu/una
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We present Unsupervised hard Negative Augmentation (UNA), a method that generates synthetic negative instances based on the term frequency-inverse document frequency (TF-IDF) retrieval model.
Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity
Knowledge graphs play a pivotal role in various applications, such as question-answering and fact-checking.
