https://github.com/thunlp/dect
공식 코드Decoder Tuning: Efficient Language Understanding as Decoding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Decoder Tuning: Efficient Language Understanding as Decoding
FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture
Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
TC-GS: Tri-plane based compression for 3D Gaussian Splatting
SignBart -- New approach with the skeleton sequence for Isolated Sign language Recognition
Box-DETR: Understanding and Boxing Conditional Spatial Queries
SketchBodyNet: A Sketch-Driven Multi-faceted Decoder Network for 3D Human Reconstruction
Face Reconstruction with Variational Autoencoder and Face Masks
Residual Dense Swin Transformer for Continuous Depth-Independent Ultrasound Imaging
Transformers without Tears: Improving the Normalization of Self-Attention
Beyond One-to-One: Rethinking the Referring Image Segmentation
SegDiff: Image Segmentation with Diffusion Probabilistic Models
Example-based Hypernetworks for Out-of-Distribution Generalization
Factorising Meaning and Form for Intent-Preserving Paraphrasing
EDTformer: An Efficient Decoder Transformer for Visual Place Recognition
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization
L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.