SOTAVerified

Information Retrieval

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

( Image credit: sudhanshumittal )

Papers

Showing 13011350 of 4740 papers

TitleStatusHype
The Effect of Masking Strategies on Knowledge Retention by Language ModelsCode0
GuP: Fast Subgraph Matching by Guard-based PruningCode1
RETA-LLM: A Retrieval-Augmented Large Language Model ToolkitCode2
SKG: A Versatile Information Retrieval and Analysis Framework for Academic Papers with Semantic Knowledge Graphs0
SANGEET: A XML based Open Dataset for Research in Hindustani SangeetCode0
Revisiting Neural Retrieval on AcceleratorsCode1
Computational Technologies for Fashion Recommendation: A Survey0
Query Encoder Distillation via Embedding Alignment is a Strong Baseline Method to Boost Dense Retriever Online EfficiencyCode1
Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval0
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives0
PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge0
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers0
GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data ExplorationCode1
JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval0
Chatting Makes Perfect: Chat-based Image RetrievalCode1
UKP-SQuARE: An Interactive Tool for Teaching Question AnsweringCode1
BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language0
A template-independent approach for information extraction in real estate documentsCode0
The Information Retrieval Experiment PlatformCode1
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition0
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer0
Exploring the Practicality of Generative Retrieval on Dynamic Corpora0
AlignScore: Evaluating Factual Consistency with a Unified Alignment FunctionCode4
FARA: Future-aware Ranking Algorithm for Fairness OptimizationCode0
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial DocumentsCode0
An Empirical Comparison of LM-based Question and Answer Generation Methods0
People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts0
DataFinder: Scientific Dataset Recommendation from Natural Language DescriptionsCode1
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning0
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information RetrievalCode0
C-STS: Conditional Semantic Textual SimilarityCode1
Advancing Topic Segmentation and Outline Generation in Chinese Texts: The Paragraph-level Topic Representation, Corpus, and BenchmarkCode0
Referral Augmentation for Zero-Shot Information RetrievalCode0
Knowledge Graphs Querying0
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on WikipediaCode3
Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-rankerCode0
BM25 Query Augmentation Learned End-to-End0
Generative Retrieval via Term Set GenerationCode1
Conversational Recommendation as Retrieval: A Simple, Strong Baseline0
Differential Privacy with Random Projections and Sign Random Projections0
REFinD: Relation Extraction Financial DatasetCode0
IR Models and the COVID-19 Pandemic: A Comparative Study of Performance and Challenges0
Exploring the Viability of Synthetic Query Generation for Relevance Prediction0
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search0
How Does Generative Retrieval Scale to Millions of Passages?0
ReFIT: Relevance Feedback from a Reranker during InferenceCode1
Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage ResolutionCode0
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous GraphCode1
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval0
Query Performance Prediction: From Ad-hoc to Conversational SearchCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Two-tower Bi-Encoder (RoBERTa)Recall@10074.78Unverified
2Siamese Bi-Encoder (RoBERTa)Recall@10071.63Unverified
3BM25Recall@10051.33Unverified
#ModelMetricClaimedVerifiedStatus
1RetroMAE v2MRR@1042.58Unverified
2ConAE-256Time (ms)0.33Unverified
3ConAE-128Time (ms)0.32Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-BE-5.8BmAP@1000.16Unverified
2TSDAEmAP@1000.15Unverified
#ModelMetricClaimedVerifiedStatus
1hpipubcommoninfNDCG0.56Unverified
2hpictallinfNDCG0.55Unverified
#ModelMetricClaimedVerifiedStatus
1MINDHR@300.32Unverified
#ModelMetricClaimedVerifiedStatus
1Distilled NetworknDCG@100.53Unverified
#ModelMetricClaimedVerifiedStatus
1RetroMAEMRR@100.42Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-5.8B-msmarconDCG@1050.25Unverified
#ModelMetricClaimedVerifiedStatus
1Information Retrieval + SVM1:1 Accuracy83.79Unverified
#ModelMetricClaimedVerifiedStatus
1BERT+CONCEPT FILTERNDCG0.25Unverified