https://github.com/narabzad/prompt-sensitivity-relevance-judgements
공식 코드A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance Judgment
Papers with Code 아카이브
Retrieval
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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/nardien/agent-distillation
공식 코드Distilling LLM Agent into Small Models with Retrieval and Code Tools
https://github.com/nashory/rtic-gcn-pytorch
공식 코드RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network
https://github.com/naver-ai/cs-shortcut
공식 코드Saving Dense Retriever from Shortcut Dependency in Conversational Search
https://github.com/naver-ai/pcme
공식 코드https://github.com/naver/artemis
공식 코드ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity
https://github.com/naver/bergen
공식 코드BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
https://github.com/naver/cgd
공식 코드Combination of Multiple Global Descriptors for Image Retrieval
https://github.com/naver/fire
공식 코드https://github.com/naver/kapture
공식 코드Robust Image Retrieval-based Visual Localization using Kapture
https://github.com/naver/kapture-localization
공식 코드Robust Image Retrieval-based Visual Localization using Kapture
https://github.com/naver/ms-marco-shift
공식 코드MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural Retrieval
https://github.com/naver/posescript
공식 코드https://github.com/naver/splade
공식 코드SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
https://github.com/naver/tldr
공식 코드https://github.com/navervision/compodiff
공식 코드CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
https://github.com/navervision/lincir
공식 코드Language-only Efficient Training of Zero-shot Composed Image Retrieval
https://github.com/navervision/proxy-synthesis
공식 코드Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning
https://github.com/navid-rekabsaz/GenderBias_IR
공식 코드https://github.com/nbalepur/expository-text-generation
공식 코드https://github.com/ncbi-nlp/trialgpt
공식 코드Matching Patients to Clinical Trials with Large Language Models
https://github.com/ncbi/GeneGPT
공식 코드https://github.com/ncbi/biocpt
공식 코드https://github.com/ncbi/medcpt
공식 코드https://github.com/nchu-nlp-lab/lawfactsqa-tw
공식 코드A Cross-Lingual Statutory Article Retrieval Dataset for Taiwan Legal Studies
https://github.com/ncoop57/tango
공식 코드https://github.com/ncsulsj/robust_sumsystem
공식 코드https://github.com/nealcly/ke-blender
공식 코드Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation
https://github.com/nec-n-sogi/query-perturbation
공식 코드Object-Aware Query Perturbation for Cross-Modal Image-Text Retrieval
https://github.com/necla-ml/cpr
공식 코드Self-supervised Video Representation Learning with Cascade Positive Retrieval
https://github.com/neilwen987/CSR_Adaptive_Rep
공식 코드Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
https://github.com/nelson-liu/lost-in-the-middle
공식 코드https://github.com/nenadmarkus/wlrn
공식 코드https://github.com/neoayanami/fmri-music-retrieve
공식 코드R&B -- Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity
https://github.com/nerses28/bBSARD
공식 코드Bilingual BSARD: Extending Statutory Article Retrieval to Dutch
https://github.com/netease-media/csce-net
공식 코드Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary Encoding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.