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Semantic Textual Similarity
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Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.
Image source: Learning Semantic Textual Similarity from Conversations
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
LineRetriever: Planning-Aware Observation Reduction for Web Agents
DALR: Dual-level Alignment Learning for Multimodal Sentence Representation Learning
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval
Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn't Help with MT Evaluation
Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models
PrivacyXray: Detecting Privacy Breaches in LLMs through Semantic Consistency and Probability Certainty
Semantic similarity estimation for domain specific data using BERT and other techniques
InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking
GrFormer: A Novel Transformer on Grassmann Manifold for Infrared and Visible Image Fusion
ImpliRet: Benchmarking the Implicit Fact Retrieval Challenge
Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search
FindMeIfYouCan: Bringing Open Set metrics to $\textit{near} $, $ \textit{far} $ and $\textit{farther}$ Out-of-Distribution Object Detection
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models
Hierarchical Scoring with 3D Gaussian Splatting for Instance Image-Goal Navigation
Trend-Aware Fashion Recommendation with Visual Segmentation and Semantic Similarity
Statistical Hypothesis Testing for Auditing Robustness in Language Models
Conservative Bias in Large Language Models: Measuring Relation Predictions
KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor
Evaluating the Effectiveness of Linguistic Knowledge in Pretrained Language Models: A Case Study of Universal Dependencies
Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory
MCP-Zero: Active Tool Discovery for Autonomous LLM Agents
Category-aware EEG image generation based on wavelet transform and contrast semantic loss
VUDG: A Dataset for Video Understanding Domain Generalization
GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training
PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder
Label-Guided In-Context Learning for Named Entity Recognition
Improving Brain-to-Image Reconstruction via Fine-Grained Text Bridging
Document Valuation in LLM Summaries: A Cluster Shapley Approach
Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data
LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
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