https://github.com/TZWwww/PROPHET
공식 코드PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation
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/TaiMingLu/know-dont-tell
공식 코드Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell
https://github.com/Taosheng-ty/CIKM_2020_Multivariate_AutoULTR
공식 코드Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank
https://github.com/TechnicolorGUO/InteractiveSurvey
공식 코드InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System
https://github.com/Teddy-Li/LMKBC-Track1
공식 코드https://github.com/TengShi-RUC/CFRAG
공식 코드Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation
https://github.com/TengdaHan/CoCLR
공식 코드Self-supervised Co-training for Video Representation Learning
https://github.com/TengdaHan/MemDPC
공식 코드Memory-augmented Dense Predictive Coding for Video Representation Learning
https://github.com/Thaonguyen3095/affordance-language
공식 코드Robot Object Retrieval with Contextual Natural Language Queries
https://github.com/TheItCrOw/LIRAI24
공식 코드Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles
https://github.com/ThirdAIResearch/BOLT_Benchmarks/tree/main/graph_learning
공식 코드https://github.com/Tianyihu212/Materarbeit
공식 코드Content-Based Landmark Retrieval Combining Global and Local Features using Siamese Neural Networks
https://github.com/TickleForce/ancient-greek-datasets
공식 코드Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation
https://github.com/ToniCreswell/InvertingGAN
공식 코드Inverting The Generator Of A Generative Adversarial Network (II)
https://github.com/Traffic-X/Open-TransMind
공식 코드https://github.com/Tree-Shu-Zhao/KALAHash.pytorch
공식 코드KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
https://github.com/Tswings/AVeriTeC-DCE
공식 코드Document-level Claim Extraction and Decontextualisation for Fact-Checking
https://github.com/UDLF/UDLF
공식 코드Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning
https://github.com/UKPLab/GritHopper
공식 코드https://github.com/UKPLab/MMT-Retrieval
공식 코드Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval
https://github.com/UKPLab/arxiv2024-missciplus
공식 코드Grounding Fallacies Misrepresenting Scientific Publications in Evidence
https://github.com/UKPLab/beir
공식 코드BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
https://github.com/UKPLab/conll2019-snopes-crawling
공식 코드A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
https://github.com/UKPLab/conll2019-snopes-experiments
공식 코드A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
https://github.com/UKPLab/fever-2018-team-athene
공식 코드UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
https://github.com/UQ-DongYuan/CVSeqLocation
공식 코드Temporal Attention for Cross-View Sequential Image Localization
https://github.com/UmerTariq1/Urdu_MsMarco_Translation_Retrieval
공식 코드Enabling Low-Resource Language Retrieval: Establishing Baselines for Urdu MS MARCO
https://github.com/Upaya07/GPT-FinRE
공식 코드GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models
https://github.com/UsmanMaqbool/why-so-deep
공식 코드Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition
https://github.com/UvA-HuMIL/QSBPS
공식 코드Learning to Ask: Question-based Sequential Bayesian Product Search
https://github.com/V3RGANz/jointrank
공식 코드https://github.com/VALUE-Leaderboard/StarterCode
공식 코드VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation
https://github.com/VT-NLP/Mocheg
공식 코드End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models
https://github.com/Vandermode/TFPnP
공식 코드TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems
https://github.com/Vanditg/Person-Retrieval-AVSS-2018
공식 코드Person Retrieval in Surveillance Video using Height, Color and Gender
https://github.com/VarIr/scikit-hubness
공식 코드scikit-hubness: Hubness Reduction and Approximate Neighbor Search
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.