https://bitbucket.org/gg42554/cl-sts
공식 코드A Resource-Light Method for Cross-Lingual Semantic Textual Similarity
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
A Resource-Light Method for Cross-Lingual Semantic Textual Similarity
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings
SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning
Improving Paraphrase Detection with the Adversarial Paraphrasing Task
ComStreamClust: a communicative multi-agent approach to text clustering in streaming data
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks
PromptMap: An Alternative Interaction Style for AI-Based Image Generation
SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models
SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models
Joint Word Representation Learning using a Corpus and a Semantic Lexicon
Context Compression for Auto-regressive Transformers with Sentinel Tokens
Learning semantic sentence representations from visually grounded language without lexical knowledge
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
CODER: Knowledge infused cross-lingual medical term embedding for term normalization
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
Retrieve and Refine: Exemplar-based Neural Comment Generation
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs
Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.