Information Retrieval
11개 벤치마크 · 논문 5,227편 · 이 태스크의 논문 보기 →
Benchmarks
BSARD
MS MARCO
CQADupStack
MTEB
TREC-PM
!(()&&!|*|*|
Amazon
MSLR-WEB30K
MSMARCO
News Headlines
Ohsumed
Most implemented
Modeling Relational Data with Graph Convolutional Networks
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
Declarative Experimentation in Information Retrieval using PyTerrier
Papers
A Living Benchmark for Information Retrieval from Electronic Health Records
Large language model (LLM)-based clinical assistants are increasingly being integrated into electronic health record (EHR) systems, transforming how clinicians retrieve and synthesize information from patient records. Th…
Information RetrievalSelf-Evolving Search Index
Information retrieval is increasingly important as LLM agents tackle complex tasks involving diverse information needs. Because retrieval relies on an index that represents each document through index keys, retrieval qua…
Information RetrievalSpectralShift: Effective Context Window Extension of Gated DeltaNet via Spectral Reparameterization
Recently, linear attention layers have been increasingly adopted to replace softmax attention at scale for long-context modeling. However, existing context extension approaches typically apply continued pretraining direc…
Continual PretrainingInformation RetrievalShadow Queries for Private Retrieval in Vector Databases
Large language models (LLMs) increasingly rely on information retrieval (IR) systems, such as Retrieval-Augmented Generation (RAG), to incorporate domain-specific knowledge without costly re-training. These systems often…
Information RetrievalLearning to Reason and Use Tools through Unsupervised Fine-Tuning in Task-Oriented Dialog Systems
Current dialogue systems struggle with dynamic information retrieval, often leading to hallucinations and lower response accuracy. We address this by adapting the ReAct framework for Task-Oriented Dialogue, enabling Larg…
Domain GeneralizationInformation RetrievalMULTI3IR: A Benchmark for Multi-perspective Multi-domain Multi-modal Information Retrieval
Information retrieval (IR) increasingly targets open-ended queries that admit diverse perspectives. Existing IR benchmarks, however, focus primarily on closed-ended queries, while even open-ended benchmarks largely consi…
Information Retrieval