https://github.com/benevolentai/r2e-evaluation-data
공식 코드Retrieve to Explain: Evidence-driven Predictions with Language Models
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/benjaminshade/quantifying-dissimilarity
공식 코드https://github.com/benyeoh/grownup
공식 코드GROWN+UP: A Graph Representation Of a Webpage Network Utilizing Pre-training
https://github.com/benywon/ChiQA
공식 코드ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding
https://github.com/bepierre/SpeechVGG
공식 코드https://github.com/bernhard2202/adaptive-ir-for-qa
공식 코드https://github.com/bernhard2202/rankqa
공식 코드https://github.com/betswish/mirage
공식 코드Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
https://github.com/bfshi/AbSViT
공식 코드https://github.com/bgunlp/qpl
공식 코드Semantic Decomposition of Question and SQL for Text-to-SQL Parsing
https://github.com/bharadwaj-manda/CADSketchNet
공식 코드'CADSketchNet' -- An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks
https://github.com/bhattarailab/car-mfl
공식 코드https://github.com/bhoomeendra/paragraph_resourcefulness
공식 코드Analysing the Resourcefulness of the Paragraph for Precedence Retrieval
https://github.com/bigdata-graph/gmvit
공식 코드Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding
https://github.com/bighuang624/vop
공식 코드VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal Retrieval
https://github.com/billpsomas/rscir
공식 코드https://github.com/billpwchan/DeepTrust
공식 코드https://github.com/billxbf/rewoo
공식 코드ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models
https://github.com/billyblu2000/accomontage2
공식 코드AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System
https://github.com/bingqingzhang/TokenBinder
공식 코드TokenBinder: Text-Video Retrieval with One-to-Many Alignment Paradigm
https://github.com/bingsu12/momu
공식 코드A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
https://github.com/binjie-qin/msrpca-pbnet
공식 코드Working memory inspired hierarchical video decomposition with transformative representations
https://github.com/binjiezhang/RACT_ICLR2022
공식 코드Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval
https://github.com/bio-ontology-research-group/walking-rdf-and-owl
공식 코드Neuro-symbolic representation learning on biological knowledge graphs
https://github.com/biocypher/biochatter-light
공식 코드A Platform for the Biomedical Application of Large Language Models
https://github.com/biocypher/chatgse
공식 코드A Platform for the Biomedical Application of Large Language Models
https://github.com/biofm/openbiomed
공식 코드https://github.com/bioimage-io/bioimageio-chatbot
공식 코드BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational Bioimaging
https://github.com/bionlproc/text-summ-for-doc-retrieval
공식 코드Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization
https://github.com/biplob1ly/HybridPQA
공식 코드https://github.com/biqing-qi/interactive-continual-learning-fast-and-slow-thinking
공식 코드https://github.com/birco-benchmark/birco
공식 코드BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
https://github.com/birdortyedi/image-retrieval-with-capsules
공식 코드https://github.com/biswajitsc/sparse-embed
공식 코드https://github.com/bkolosk1/bablfusion
공식 코드AutoML-guided Fusion of Entity and LLM-based Representations for Document Classification
https://github.com/bkong/MCNCC
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.