Papers with Code 아카이브

Information Retrieval

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하위 태스크: 6
평가표: 33
보존된 평가 기록: 17

Information retrieval is the task of ranking a list of documents or search results in response to a query

<span style="color:grey; opacity: 0.6">( Image credit: sudhanshumittal )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/MAGICS-LAB/Chain-of-Actions

공식 코드

Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

https://github.com/Mandeep-Rathee/quam

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Quam: Adaptive Retrieval through Query Affinity Modelling

https://github.com/McGill-NLP/MLQuestions

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Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval

https://github.com/Meow-E/USimAgent2.0

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Exploring Human-Like Thinking in Search Simulations with Large Language Models

https://github.com/Metacreation-Lab/GigaMIDI-Dataset

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The GigaMIDI Dataset with Features for Expressive Music Performance Detection

https://github.com/Microsoft/Recognizers-Text

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Dataset and Baseline System for Multi-lingual Extraction and Normalization of Temporal and Numerical Expressions

https://github.com/MohammadForouhesh/latent-aspect-detection

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Latent Aspect Detection from Online Unsolicited Customer Reviews

https://github.com/MrRezaeiUofT/AT-RAG

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AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning

https://github.com/Music-and-Culture-Technology-Lab/omnizart

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Omnizart: A General Toolbox for Automatic Music Transcription

https://github.com/MyrtoLimnios/grad_2sample

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Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite Ranking

https://github.com/NTMC-Community/MatchZoo

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MatchZoo: A Toolkit for Deep Text Matching

https://github.com/NTMC-Community/MatchZoo-Studio

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MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching

https://github.com/Natooz/music-modeling-time-duration

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Impact of time and note duration tokenizations on deep learning symbolic music modeling

https://github.com/OHNLPIR/OMOP_CDM_IO

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CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model

https://github.com/OSM-DM-KGP/Narmada

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NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities

https://github.com/Phrase-in-Context/eval

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PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search

https://github.com/Pliploop/SemiSupCon

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Semi-Supervised Contrastive Learning of Musical Representations

https://github.com/Priberam/mesinesp-svm

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Priberam at MESINESP Multi-label Classification of Medical Texts Task

https://github.com/QingyaoAi/Deep-Listwise-Context-Model-for-Ranking-Refinement

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Learning a Deep Listwise Context Model for Ranking Refinement

https://github.com/RED-Search/Qilin

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Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions

https://github.com/RIET-lab/claim-compare

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ClaimCompare: A Data Pipeline for Evaluation of Novelty Destroying Patent Pairs

https://github.com/RS2002/Adversarial-MidiBERT

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Let Network Decide What to Learn: Symbolic Music Understanding Model Based on Large-scale Adversarial Pre-training

https://github.com/RUCAIBox/Awesome-KBQA

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Complex Knowledge Base Question Answering: A Survey

https://github.com/RadeenXALNW/G-RAG_1.0

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G-RAG: Knowledge Expansion in Material Science

https://github.com/Raghav010/Small-Models-Big-Tasks

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Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling

https://github.com/RayWang96/GPU_KNNG

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Large-Scale Approximate k-NN Graph Construction on GPU

https://github.com/RegNLP/RePASs

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RIRAG: Regulatory Information Retrieval and Answer Generation

https://github.com/RikiyaT/LARA

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LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help?

https://github.com/RoyZhengGao/edge2vec

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edge2vec: Representation learning using edge semantics for biomedical knowledge discovery

https://github.com/SALT-NLP/pair

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Measuring and Addressing Indexical Bias in Information Retrieval

https://github.com/SebiSebi/AI2-Reasoning-Challenge-ARC

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Improving Retrieval-Based Question Answering with Deep Inference Models

https://github.com/SeerLabs/entity-matching

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Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big Datasets

https://github.com/Simula-UiB/GAUP_TIFS22

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Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval

https://github.com/SinghKaranbir/BiasAwareAgent

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Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge Retrieval

https://github.com/SonalPrabhune/RAG

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Deploying Large Language Models With Retrieval Augmented Generation

https://github.com/SonyCSLParis/cae-invar

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Learning Complex Basis Functions for Invariant Representations of Audio

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