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Semantic Textual Similarity

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하위 태스크: 2
평가표: 13
보존된 평가 기록: 280

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ubc-nlp/turjuman

공식 코드

TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation

https://github.com/uclanlp/ParaBART

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Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models

https://github.com/uclanlp/paraamr

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ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation

https://github.com/uds-lsv/mcse

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MCSE: Multimodal Contrastive Learning of Sentence Embeddings

https://github.com/uhh-lt/path2vec

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Making Fast Graph-based Algorithms with Graph Metric Embeddings

https://github.com/ukplab/pytorch-bertflow

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TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

https://github.com/umdatasciencelab/uncertainty-quantification-for-llms

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Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models

https://github.com/usc-tamagotchi/dh-mlm

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The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining

https://github.com/vaishwarya96/hierarchy-image-retrieval

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Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval

https://github.com/verypluming/jsick

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Compositional Evaluation on Japanese Textual Entailment and Similarity

https://github.com/vgthengane/climb3d

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CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation

https://github.com/vipulgupta1011/calm

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CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias

https://github.com/vishakhpk/mi-unsup-summ

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Unsupervised Extractive Summarization using Pointwise Mutual Information

https://github.com/vishwajit-vishnu/memory-efficient-stochastic-methods-for-memory-based-transformers

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Memory-efficient Stochastic methods for Memory-based Transformers

https://github.com/vitouphy/usl_dialogue_metric

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Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue Systems

https://github.com/voidism/diffcse

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DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings

https://github.com/wangkiw/teen

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Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration

https://github.com/wangruicn/dialoguecse

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DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings

https://github.com/waynebhayes/SANA

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SANA: Cross-Species Prediction of Gene Ontology GO Annotations via Topological Network Alignment

https://github.com/weiguopian/av-cil_iccv2023

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Audio-Visual Class-Incremental Learning

https://github.com/weiguopian/contav-sep_neurips2024

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Continual Audio-Visual Sound Separation

https://github.com/wentao-xu/kge-cl

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KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings

https://github.com/whoisjones/familarity

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Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data

https://github.com/wispcarey/autokg

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AutoKG: Efficient Automated Knowledge Graph Generation for Language Models

https://github.com/wuuu110/Hercules

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Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models

https://github.com/xiami2019/claif

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Improving Contrastive Learning of Sentence Embeddings from AI Feedback

https://github.com/xiangchensong/sae-feature-consistency

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Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs

https://github.com/xinghaow99/denosent

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DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning

https://github.com/xingxuanli/paraicl

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ParaICL: Towards Parallel In-Context Learning

https://github.com/xinjin95/binsum

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Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models

https://github.com/xsc1234/match-prompt

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Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning

https://github.com/xuandongzhao/hpd

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Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation

https://github.com/xunguangwang/cgat

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CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval

https://github.com/xurong-liang/LEGCF

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Lightweight Embeddings for Graph Collaborative Filtering

https://github.com/yanzhangnlp/IS-BERT

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An Unsupervised Sentence Embedding Method by Mutual Information Maximization

https://github.com/yeonsw/rankencoder

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Ranking-Enhanced Unsupervised Sentence Representation Learning

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