Papers with Code 아카이브

Semantic Similarity

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 2
평가표: 28
보존된 평가 기록: 21

The main objective Semantic Similarity is to measure the distance between the semantic meanings of a pair of words, phrases, sentences, or documents. For example, the word “car” is more similar to “bus” than it is to “cat”. The two main approaches to measuring Semantic Similarity are knowledge-based approaches and corpus-based, distributional methods.

Source: Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection

코드

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

https://github.com/vgthengane/climb3d

공식 코드

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

https://github.com/vipulgupta1011/calm

공식 코드

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

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

공식 코드

Unsupervised Extractive Summarization using Pointwise Mutual Information

https://github.com/vitouphy/usl_dialogue_metric

공식 코드

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

https://github.com/wangkiw/teen

공식 코드

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

https://github.com/waynebhayes/SANA

공식 코드

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

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

공식 코드

Audio-Visual Class-Incremental Learning

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

공식 코드

Continual Audio-Visual Sound Separation

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

공식 코드

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

https://github.com/whoisjones/familarity

공식 코드

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

https://github.com/wispcarey/autokg

공식 코드

AutoKG: Efficient Automated Knowledge Graph Generation for Language Models

https://github.com/wuuu110/Hercules

공식 코드

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

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

공식 코드

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs

https://github.com/xingxuanli/paraicl

공식 코드

ParaICL: Towards Parallel In-Context Learning

https://github.com/xinjin95/binsum

공식 코드

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

https://github.com/xunguangwang/cgat

공식 코드

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

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

공식 코드

Lightweight Embeddings for Graph Collaborative Filtering

https://github.com/yeonsw/rankencoder

공식 코드

Ranking-Enhanced Unsupervised Sentence Representation Learning

https://github.com/yg211/acl20-ref-free-eval

공식 코드

SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization

https://github.com/yhcao6/fadi

공식 코드

Few-Shot Object Detection via Association and DIscrimination

https://github.com/yixinL7/Direct-Style-Transfer

공식 코드

On Learning Text Style Transfer with Direct Rewards

https://github.com/ymgw55/WSMD

공식 코드

Improving word mover's distance by leveraging self-attention matrix

https://github.com/ymgw55/cosine-similarity-via-ica

공식 코드

Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings

https://github.com/yogarshi/SemDiverge

공식 코드

Identifying Semantic Divergences in Parallel Text without Annotations

https://github.com/yoosan/sentpair

공식 코드

Modelling Sentence Pairs with Tree-structured Attentive Encoder

https://github.com/youngkyunJang/GPQ

공식 코드

Generalized Product Quantization Network for Semi-supervised Image Retrieval

https://github.com/ypxie/HDGan

공식 코드

Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network

https://github.com/yuchen413/text2image_safety

공식 코드

SneakyPrompt: Jailbreaking Text-to-image Generative Models

https://github.com/yuh-zha/alignscore

공식 코드

AlignScore: Evaluating Factual Consistency with a Unified Alignment Function

https://github.com/yukang-lin/rger

공식 코드

Reasoning Graph Enhanced Exemplars Retrieval for In-Context Learning

https://github.com/yukiar/otalign

공식 코드

Unbalanced Optimal Transport for Unbalanced Word Alignment

https://github.com/yukw777/tglg

공식 코드

Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language Models

https://github.com/yuzhimanhua/cof

공식 코드

Chain-of-Factors Paper-Reviewer Matching

https://github.com/zbr17/avsl

공식 코드

Attributable Visual Similarity Learning

https://github.com/zdou0830/crosslingual_summarization_semantic

공식 코드

A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards

https://github.com/zeinabtaghavi/impliret

공식 코드

ImpliRet: Benchmarking the Implicit Fact Retrieval Challenge

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.