https://github.com/zhirongw/lemniscate.pytorch
공식 코드Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/zhiweiuu/secs
공식 코드Quantifying consensus of rankings based on q-support patterns
https://github.com/zhiweizhang97/arsjointmodel
공식 코드Abstract, Rationale, Stance: A Joint Model for Scientific Claim Verification
https://github.com/zhixiangsu/apst
공식 코드Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
https://github.com/zhixiongz/clip4cmr
공식 코드https://github.com/zhiyuan-li-john/rapsg
공식 코드Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence Generation
https://github.com/zhiyuanpeng/eloq
공식 코드ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions
https://github.com/zhiyuanpeng/sptar
공식 코드Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
https://github.com/zhjohnchan/ptunifier
공식 코드Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
https://github.com/zhongping-zhang/engine
공식 코드Show, Write, and Retrieve: Entity-aware Article Generation and Retrieval
https://github.com/zhouhaocv/dtg-spl
공식 코드Towards Diverse Temporal Grounding under Single Positive Labels
https://github.com/zhourunlong/CASCADE_public
공식 코드CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models
https://github.com/zhpinkman/cbr
공식 코드Case-Based Reasoning with Language Models for Classification of Logical Fallacies
https://github.com/zhqiu/ndcg-optimization
공식 코드Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
https://github.com/zhuang-li/factual
공식 코드FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing
https://github.com/zhudotexe/kani
공식 코드Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications
https://github.com/zhukun1020/noisefilter_ib
공식 코드https://github.com/zhunzhong07/CamStyle
공식 코드https://github.com/zhuo-cao/flashvtg
공식 코드FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding
https://github.com/zhuole1025/symmv
공식 코드Video Background Music Generation: Dataset, Method and Evaluation
https://github.com/zhwl2117/InstructCIR
공식 코드Compositional Image Retrieval via Instruction-Aware Contrastive Learning
https://github.com/zhxlia/murre
공식 코드MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL
https://github.com/zhzihao/wikigenbench
공식 코드WIKIGENBENCH: Exploring Full-length Wikipedia Generation under Real-World Scenario
https://github.com/ziegler-ingo/CRAFT
공식 코드https://github.com/ziems/llm-url
공식 코드Large Language Models are Built-in Autoregressive Search Engines
https://github.com/zihao-wang/rots
공식 코드Unsupervised Sentence Textual Similarity with Compositional Phrase Semantics
https://github.com/zihaohe123/alcap
공식 코드https://github.com/zinengtang/VidLanKD
공식 코드VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
https://github.com/zinengtang/perceiver_vl
공식 코드Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention
https://github.com/zinengtang/tvlt
공식 코드https://github.com/ziqipang/lm4visualencoding
공식 코드Frozen Transformers in Language Models Are Effective Visual Encoder Layers
https://github.com/ziyang412/ucofia
공식 코드https://github.com/ziyi-yang/lir
공식 코드A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations
https://github.com/zjamie813/selfalign
공식 코드Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained Alignment
https://github.com/zjs123/DTGB
공식 코드DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
https://github.com/zju-daily/aistorian
공식 코드AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.