SOTAVerified

Information Retrieval

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

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Papers

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Showing 101–150 of 4740 papers

TitleStatusHype
MARK: Memory Augmented Refinement of Knowledge—0
Towards Large-scale Generative Ranking—0
QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort—0
CB-cPIR: Code-Based Computational Private Information Retrieval—0
Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse RetrievalCode0
Evaluating Contrastive Feedback for Effective User SimulationsCode0
Social Biases in Knowledge Representations of Wikidata separates Global North from Global SouthCode0
Bell's Inequalities and Entanglement in Corpora of Italian Language—0
Exploring new Approaches for Information Retrieval through Natural Language Processing—0
Interpreting Multilingual and Document-Length Sensitive Relevance Computations in Neural Retrieval Models through Axiomatic Causal InterventionsCode0
Analyzing Cognitive Differences Among Large Language Models through the Lens of Social Worldview—0
Ensuring Reproducibility in Generative AI Systems for General Use Cases: A Framework for Regression Testing and Open DatasetsCode0
Scalable Unit Harmonization in Medical Informatics Using Bi-directional Transformers and Bayesian-Optimized BM25 and Sentence Embedding Retrieval—0
Investigating Task Arithmetic for Zero-Shot Information RetrievalCode0
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass—0
In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification—0
TartuNLP at SemEval-2025 Task 5: Subject Tagging as Two-Stage Information Retrieval—0
Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QACode0
Efficient Conversational Search via Topical Locality in Dense RetrievalCode0
ReasonIR: Training Retrievers for Reasoning TasksCode3
Information Retrieval in the Age of Generative AI: The RGB ModelCode0
Are Information Retrieval Approaches Good at Harmonising Longitudinal Survey Questions in Social Science?—0
Federated One-Shot Learning with Data Privacy and Objective-Hiding—0
OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis—0
Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal PerspectiveCode0
LLM-Evaluation Tropes: Perspectives on the Validity of LLM-Evaluations—0
Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function CallingCode0
Feature Fusion Revisited: Multimodal CTR Prediction for MMCTR ChallengeCode0
Speaker Retrieval in the Wild: Challenges, Effectiveness and Robustness—0
Pushing the boundary on Natural Language Inference—0
Replication and Exploration of Generative Retrieval over Dynamic Corpora—0
Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval—0
FinBERT-QA: Financial Question Answering with pre-trained BERT Language ModelsCode2
CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction—0
CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents—0
The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval—0
Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search—0
Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive SurveyCode2
Exploring _0 Sparsification for Inference-free Sparse RetrieversCode1
LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval—0
LLM-Driven Usefulness Judgment for Web Search EvaluationCode0
Template-Based Financial Report Generation in Agentic and Decomposed Information RetrievalCode1
Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic BeliefsCode0
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild—0
Building Russian Benchmark for Evaluation of Information Retrieval ModelsCode1
Validating LLM-Generated Relevance Labels for Educational Resource Search—0
FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents—0
How Large Language Models Are Changing MOOC Essay Answers: A Comparison of Pre- and Post-LLM Responses—0
Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation—0
A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance JudgmentCode0
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All datasetsBSARDMS MARCOCQADupStackTREC-PMAmazonMSLR WEB30KMSMARCOMTEBNews HeadlinesOhsumed

Benchmark Results

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