https://github.com/ag-gipp/formula-concept-retrieval
공식 코드Discovery and Recognition of Formula Concepts using Machine Learning
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 11
- 보존된 평가 기록
- 19
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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ag2ai/simpledoc
공식 코드SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement
https://github.com/agelosk/Instrument_Classification_Paper
공식 코드Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music
https://github.com/aggregate-intellect/xir
공식 코드Towards Improving the Explainability of Text-based Information Retrieval with Knowledge Graphs
https://github.com/agi-inc/agisdk
공식 코드REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites
https://github.com/agi-inc/real
공식 코드REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites
https://github.com/agonzgarc/cross-domain-disen
공식 코드https://github.com/agrzheng/GRADA
공식 코드GRADA: Graph-based Reranker against Adversarial Documents Attack
https://github.com/ahmdtaha/l2_caf_pytorch
공식 코드A Generic Visualization Approach for Convolutional Neural Networks
https://github.com/ahmdtaha/svmax
공식 코드https://github.com/ahmedehabb/From-Roots-to-Rewards-Dynamic-Tree-Reasoning-with-RL
공식 코드https://github.com/ahmedest61/multires-netvlad
공식 코드MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery
https://github.com/ahmedheakl/Study-on-Broadcast-Networks-for-Music-Genre-Classification
공식 코드A Study on Broadcast Networks for Music Genre Classification
https://github.com/ahnobari/links
공식 코드LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design
https://github.com/ahoyosid/hyperbolic_alignment
공식 코드Aligning Hyperbolic Representations: an Optimal Transport-based approach
https://github.com/ahtsham58/crb-crs
공식 코드https://github.com/ahtsham58/inspired2
공식 코드INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation
https://github.com/ai-4-atmosphere-remote-sensing/mt-hccar
공식 코드https://github.com/ai-forever/sg-detr
공식 코드Saliency-Guided DETR for Moment Retrieval and Highlight Detection
https://github.com/ai-in-complex-systems-lab/adhd-knowledgegraph
공식 코드https://github.com/ai-in-hospitals/patient-instructions
공식 코드Retrieval-Augmented and Knowledge-Grounded Language Models for Faithful Clinical Medicine
https://github.com/ai-systems/unification_reconstruction_explanations
공식 코드Unification-based Reconstruction of Multi-hop Explanations for Science Questions
https://github.com/ai21labs/factor
공식 코드Generating Benchmarks for Factuality Evaluation of Language Models
https://github.com/ai21labs/in-context-ralm
공식 코드https://github.com/ai4africagroup/telcom_llm
공식 코드QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option Shuffling
https://github.com/ai4bharat/ctqscorer
공식 코드CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation
https://github.com/ai4finance-foundation/fingpt
공식 코드Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models
https://github.com/aiirlab/falqu
공식 코드https://github.com/ailab-cefet-rj/r2t
공식 코드GLARE: Guided LexRank for Advanced Retrieval in Legal Analysis
https://github.com/ailab-kyunghee/cm2_dvc
공식 코드Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
https://github.com/ailab-kyunghee/kg-llava
공식 코드https://github.com/aimagelab/font_square
공식 코드Evaluating Synthetic Pre-Training for Handwriting Processing Tasks
https://github.com/aimagelab/open-fashion-clip
공식 코드OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data
https://github.com/aimagelab/ret
공식 코드Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval
https://github.com/aimagelab/safe-clip
공식 코드Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
https://github.com/aiming-lab/mdocagent
공식 코드MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.