https://github.com/vinayak1/gcbs
공식 코드Global Contrastive Batch Sampling via Optimization on Sample Permutations
Papers with Code 아카이브
Sentence Embeddings
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/voidism/diffcse
공식 코드DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
https://github.com/wangbing1416/slt-fai
공식 코드https://github.com/wangcunxiang/graph-as-tokens
공식 코드Exploiting Abstract Meaning Representation for Open-Domain Question Answering
https://github.com/wangpeiyi9979/hcl-text2amr
공식 코드https://github.com/wangruicn/dialoguecse
공식 코드DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings
https://github.com/wtliao/text2image
공식 코드https://github.com/wuning0929/ccp_ijcai22
공식 코드Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval
https://github.com/wutaiqiang/ger-wsdm2023
공식 코드https://github.com/wwxu21/AMR-SG
공식 코드https://github.com/wwxu21/cgr
공식 코드Exploiting Reasoning Chains for Multi-hop Science Question Answering
https://github.com/xbdxwyh/mocose
공식 코드Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
https://github.com/xdqkid/S2S-AMR-Parser
공식 코드Improving AMR Parsing with Sequence-to-Sequence Pre-training
https://github.com/xiami2019/claif
공식 코드Improving Contrastive Learning of Sentence Embeddings from AI Feedback
https://github.com/xuandongzhao/hpd
공식 코드Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation
https://github.com/xudonglinthu/upgradable-multimodal-intelligence
공식 코드Towards Fast Adaptation of Pretrained Contrastive Models for Multi-channel Video-Language Retrieval
https://github.com/yanzhang92/LDGCNs
공식 코드Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
https://github.com/yanzhangnlp/IS-BERT
공식 코드An Unsupervised Sentence Embedding Method by Mutual Information Maximization
https://github.com/yaushian/msimcse
공식 코드English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings
https://github.com/yeonsw/rankencoder
공식 코드Ranking-Enhanced Unsupervised Sentence Representation Learning
https://github.com/yibin-lei/metaeol
공식 코드Meta-Task Prompting Elicits Embeddings from Large Language Models
https://github.com/yiren-jian/NonLing-CSE
공식 코드Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
https://github.com/yjiangcm/promcse
공식 코드https://github.com/yoda122/gausscse
공식 코드https://github.com/yuanyuanlei-nlp/sentence_level_media_bias_naacl_2024
공식 코드Sentence-level Media Bias Analysis with Event Relation Graph
https://github.com/yxuansu/NAG-BERT
공식 코드Non-Autoregressive Text Generation with Pre-trained Language Models
https://github.com/zbwpro/pretcotandke
공식 코드Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models
https://github.com/zifengcheng/cp
공식 코드Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering
https://github.com/zihao-wang/rots
공식 코드Unsupervised Sentence Textual Similarity with Compositional Phrase Semantics
https://github.com/ziyi-yang/GEM
공식 코드https://github.com/zouharvi/sentence-embd-fusion
공식 코드Fusing Sentence Embeddings Into LSTM-based Autoregressive Language Models
https://github.com/zphang/usc_dae
공식 코드Unsupervised Sentence Compression using Denoising Auto-Encoders
https://github.com/zrporz/4DLangSplat
공식 코드4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models
https://github.com/zurichnlp/nmtscore
공식 코드NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures
https://github.com/zyang-ur/ReSC
공식 코드Improving One-stage Visual Grounding by Recursive Sub-query Construction
https://github.com/2023-MindSpore-4/Code8/tree/main/cnn_direction_model
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.