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 701–750 of 4740 papers

TitleStatusHype
CoIR: A Comprehensive Benchmark for Code Information Retrieval ModelsCode2
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I—0
Engineering Conversational Search Systems: A Review of Applications, Architectures, and Functional Components—0
Deep Domain Specialisation for single-model multi-domain learning to rank—0
Evaluation of Temporal Change in IR Test CollectionsCode0
Preserving Multilingual Quality While Tuning Query Encoder on English Only—0
Potential Renovation of Information Search Process with the Power of Large Language Model for Healthcare—0
BioMNER: A Dataset for Biomedical Method Entity Recognition—0
CANDY: A Benchmark for Continuous Approximate Nearest Neighbor Search with Dynamic Data IngestionCode0
Doc2Token: Bridging Vocabulary Gap by Predicting Missing Tokens for E-commerce Search—0
TocBERT: Medical Document Structure Extraction Using Bidirectional Transformers—0
Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems—0
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic DataCode0
Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoders—0
Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models—0
Efficient Document Ranking with Learnable Late Interactions—0
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens—0
Modulating Language Model Experiences through Frictions—0
Enhancing Scientific Figure Captioning Through Cross-modal Learning—0
CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis GenerationCode1
Scaling Laws for Linear Complexity Language ModelsCode1
Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model—0
Evaluating D-MERIT of Partial-annotation on Information Retrieval—0
Database-Augmented Query Representation for Information Retrieval—0
Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback—0
FIRST: Faster Improved Listwise Reranking with Single Token DecodingCode2
Évaluation des capacités de réponse de larges modèles de langage (LLM) pour des questions d'historiens—0
IDentity with Locality: An ideal hash for gene sequence search—0
An End-to-End, Segmentation-Free, Arabic Handwritten Recognition Model on KHATT—0
Machine Learning Techniques in Automatic Music Transcription: A Systematic Survey—0
RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation—0
ACR: A Benchmark for Automatic Cohort Retrieval—0
SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions—0
Insights into LLM Long-Context Failures: When Transformers Know but Don't TellCode1
TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization—0
SEC-QA: A Systematic Evaluation Corpus for Financial QA—0
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking—0
DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented GenerationCode0
CLIP-Branches: Interactive Fine-Tuning for Text-Image RetrievalCode0
A Gradient Accumulation Method for Dense Retriever under Memory Constraint—0
Intermediate Distillation: Data-Efficient Distillation from Black-Box LLMs for Information Retrieval—0
QOG:Question and Options Generation based on Language Model—0
Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding—0
Retrieval-Augmented Feature Generation for Domain-Specific Classification—0
Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels—0
Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models—0
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language ModelsCode2
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy—0
Curating Stopwords in Marathi: A TF-IDF Approach for Improved Text Analysis and Information Retrieval—0
Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL—0
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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