https://github.com/yg211/acl20-ref-free-eval
공식 코드SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization
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.
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization
Few-Shot Object Detection via Association and DIscrimination
Meta-Task Prompting Elicits Embeddings from Large Language Models
GAPX: Generalized Autoregressive Paraphrase-Identification X
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
Improving word mover's distance by leveraging self-attention matrix
Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings
Identifying Semantic Divergences in Parallel Text without Annotations
Subspace Representations for Soft Set Operations and Sentence Similarities
Modelling Sentence Pairs with Tree-structured Attentive Encoder
Generalized Product Quantization Network for Semi-supervised Image Retrieval
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network
AlignScore: Evaluating Factual Consistency with a Unified Alignment Function
Reasoning Graph Enhanced Exemplars Retrieval for In-Context Learning
Distilling Monolingual and Crosslingual Word-in-Context Representations
Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language Models
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
ImpliRet: Benchmarking the Implicit Fact Retrieval Challenge
Category-aware EEG image generation based on wavelet transform and contrast semantic loss
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval
The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants
SSD: Towards Better Text-Image Consistency Metric in Text-to-Image Generation
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.