Information Retrieval
843 papers with code • 10 benchmarks • 82 datasets
Information retrieval is the task of ranking a list of documents or search results in response to a query
( Image credit: sudhanshumittal )
Benchmarks
These leaderboards are used to track progress in Information Retrieval
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Libraries
Use these libraries to find Information Retrieval models and implementations
MS MARCO
BioASQ
CORD-19
PubLayNet
QASC
MTEB
MedleyDB
Subtasks
Latest papers with no code
Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarization
A deep sequence-to-sequence (seq2seq) model with an attention mechanism is employed to predict a generalized summary based on the vector representation.
Single-Server Pliable Private Information Retrieval with Identifiable Side Information
In this paper, we study the problem of PPIR for the single server case when the side information is partially identifiable, and we term this case as PPIR with Identifiable Side Information (PPIR-ISI).
Information Retrieval with Entity Linking
In this work, I propose boosting the performance of sparse retrievers by expanding both the queries and the documents with linked entities in two formats for the entity names: 1) explicit and 2) hashed.
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
The integration of Large Language Models (LLMs) in information retrieval has raised a critical reevaluation of fairness in the text-ranking models.
Comparative Study of Domain Driven Terms Extraction Using Large Language Models
Keywords play a crucial role in bridging the gap between human understanding and machine processing of textual data.
A Novel Audio Representation for Music Genre Identification in MIR
For Music Information Retrieval downstream tasks, the most common audio representation is time-frequency-based, such as Mel spectrograms.
Query-driven Relevant Paragraph Extraction from Legal Judgments
We notice that the legal pre-training handles distribution shift on the corpus side but still struggles on query side distribution shift, with unseen legal queries.
Decoy Effect In Search Interaction: Understanding User Behavior and Measuring System Vulnerability
This study examines the decoy effect's underexplored influence on user search interactions and methods for measuring information retrieval (IR) systems' vulnerability to this effect.
LLMs in HCI Data Work: Bridging the Gap Between Information Retrieval and Responsible Research Practices
Efficient and accurate information extraction from scientific papers is significant in the rapidly developing human-computer interaction research in the literature review process.
High Recall, Small Data: The Challenges of Within-System Evaluation in a Live Legal Search System
We show these challenges with log data from a live legal search system and two user studies.
