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Retrieval

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전체 기법 전체 데이터셋

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/sdadas/polish-sentence-evaluation

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Training Effective Neural Sentence Encoders from Automatically Mined Paraphrases

https://github.com/sdc17/crossget

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CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers

https://github.com/sdc17/upop

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UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers

https://github.com/sding11/RAG-VR

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RAG-VR: Leveraging Retrieval-Augmented Generation for 3D Question Answering in VR Environments

https://github.com/sdu-l/finecir

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FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval

https://github.com/se-sic/icse_model_completion

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Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial Datasets

https://github.com/se-sic/ramc_model_completion

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Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial Datasets

https://github.com/seanmacavaney/autoqrels

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One-Shot Labeling for Automatic Relevance Estimation

https://github.com/searchivarius/nmslib

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Permutation Search Methods are Efficient, Yet Faster Search is Possible

https://github.com/sebastian-hofstaetter/fira-trec-19-dataset

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Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering

https://github.com/sebastian-hofstaetter/neural-ir-explorer

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Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results

https://github.com/sebastian-hofstaetter/neural-ranking-kd

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Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

https://github.com/sebastian-hofstaetter/sigir19-neural-ir

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On the Effect of Low-Frequency Terms on Neural-IR Models

https://github.com/sebastian-hofstaetter/tas-balanced-dense-retrieval

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Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

https://github.com/sebastian-hofstaetter/transformer-kernel-ranking

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Local Self-Attention over Long Text for Efficient Document Retrieval

https://github.com/sebastian-hofstaetter/tripclick

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Establishing Strong Baselines for TripClick Health Retrieval

https://github.com/sebastianarnold/cdv

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Learning Contextualized Document Representations for Healthcare Answer Retrieval

https://github.com/sebischair/conversational-domain-exploration-data

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Investigating Conversational Search Behavior For Domain Exploration

https://github.com/sebischair/kg-conv-exploratory-search

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From Data to Dialogue: Leveraging the Structure of Knowledge Graphs for Conversational Exploratory Search

https://github.com/sebischair/lbl2vec

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Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics

https://github.com/sebischair/llm-sp-cqa

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Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs

https://github.com/seefreem/meme_text_retrieval_p1

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes

https://github.com/seekerhuang/harma

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Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignment

https://github.com/sefeoglu/rag4re

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Retrieval-Augmented Generation-based Relation Extraction

https://github.com/sejong-rcv/VVS

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VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression

https://github.com/selbeltagy/arragexperiments

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Exploring Retrieval Augmented Generation in Arabic

https://github.com/seleucia/goca

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GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning

https://github.com/semantic-systems/nfdi-search-engine-chatbot

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Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway

https://github.com/semanto-mondal/A-RAG-Augmented-YOLOv8-Framework

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Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance

https://github.com/sensengao/vlptransferattack

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Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory

https://github.com/seohyunwoo-0407/gar

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Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation Systems

https://github.com/seonghyeonye/rospr

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Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt

https://github.com/sepermetric/seper

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SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction

https://github.com/serendipitysx/wytiwyr

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WYTIWYR: A User Intent-Aware Framework with Multi-modal Inputs for Visualization Retrieval

https://github.com/seungheondoh/lp-music-dialog

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Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models

https://github.com/seungheondoh/msd-subsets

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Toward Universal Text-to-Music Retrieval

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