Semantic Similarity
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Benchmarks
Most implemented
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
ERNIE: Enhanced Representation through Knowledge Integration
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Improving Language Understanding by Generative Pre-Training
Language-agnostic BERT Sentence Embedding
MedSTS: A Resource for Clinical Semantic Textual Similarity
Papers
Beyond Semantic Similarity: Performance and Costs of Agentic Retrieval for Complex Tasks
Modern information systems, including many agentic workflows, use dense retrieval to explore large amounts of unstructured data. However, dense retrieval relies on surface-level semantic similarity, which is insufficient…
Semantic SimilarityAsyncCouple-Flow: Asynchronous Cross-Modal Coupling and Flow Matching for Spatio-Temporal Forecasting
Multi-modal spatio-temporal forecasting (MM-STF) supports weather nowcasting, traffic prediction, and earth-system modeling by combining heterogeneous sources such as physical fields, satellite imagery, and in-situ senso…
Semantic SimilarityWeather ForecastingTraffic PredictionTracing Generated Samples to Training-Data Clusters in Flow-Matching Models
Understanding which training samples influence a generated image is an important problem in generative modeling. In flow matching, training samples influence the generated image through the velocity field along the gener…
Semantic SimilarityBEACON: Behavior-Anchored Cross-Source Knowledge Graph Construction for Cyber Threat Intelligence
Cyber threat intelligence (CTI) is foundational to modern cyber defense, yet much of it resides in unstructured reports whose volume and heterogeneity far exceed manual analysis, motivating research on automatically cons…
Semantic SimilarityKnowledge GraphsFrom Documents to Reasoning: A Validated Synthetic Data Pipeline and Semantic-Aware Fine-Tuning for Financial Numerical Reasoning
Financial question answering (QA) has emerged as a key benchmark for evaluating the performance of Large Language Models (LLMs) on domain-specific tasks involving complex data formats such as tables, charts, and rich tex…
Synthetic Data GenerationSemantic SimilarityQuestion AnsweringAnswer GenerationGenerative vs. Encoder Large Language Models for ASR Evaluation: A Comparative Study
Automatic Speech Recognition (ASR) is typically evaluated using Word Error Rate (WER), which poorly reflects semantic similarity. While embedding-based metrics correlate better with human judgments, the respective roles …
Semantic SimilaritySpeech Recognition