https://github.com/trustedllm/regavae
공식 코드RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling
HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction
Understanding the Limitations of CNN-based Absolute Camera Pose Regression
Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling
VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling
Visual Cross-View Metric Localization with Dense Uncertainty Estimates
A Closer Look at Reference Learning for Fourier Phase Retrieval
AIRCADE: an Anechoic and IR Convolution-based Auralization Data-compilation Ensemble
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter
Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations
COSA: Concatenated Sample Pretrained Vision-Language Foundation Model
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation
Retrieval-Enhanced Mutation Mastery: Augmenting Zero-Shot Prediction of Protein Language Model
Contextual Explainable Video Representation: Human Perception-based Understanding
TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation
LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report Generation
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos
Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric Retrievals
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing
pytopicgram: A library for data extraction and topic modeling from Telegram channels
Removing Biases from Molecular Representations via Information Maximization
Overparameterized Neural Networks Implement Associative Memory
UKP-SQUARE: An Online Platform for Question Answering Research
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.