https://github.com/alibabaresearch/damo-convai
공식 코드Unsupervised Dialogue Topic Segmentation with Topic-aware Utterance Representation
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.
Unsupervised Dialogue Topic Segmentation with Topic-aware Utterance Representation
MASKER: Masked Keyword Regularization for Reliable Text Classification
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning
RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question
SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity Evaluation
Pairwise Supervised Contrastive Learning of Sentence Representations
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection
TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs
Semantic Similarity Loss for Neural Source Code Summarization
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
SemMT: A Semantic-based Testing Approach for Machine Translation Systems
Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation
A Comparative Study of Text Embedding Models for Semantic Text Similarity in Bug Reports
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models
Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval
Vid-Morp: Video Moment Retrieval Pretraining from Unlabeled Videos in the Wild
Weak-shot Fine-grained Classification via Similarity Transfer
Weak-shot Semantic Segmentation via Dual Similarity Transfer
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity
Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection
Selective Text Augmentation with Word Roles for Low-Resource Text Classification
Label-Guided In-Context Learning for Named Entity Recognition
The Birth of Bias: A case study on the evolution of gender bias in an English language model
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.