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 1151–1200 of 4740 papers

TitleStatusHype
Developing an efficient corpus using Ensemble Data cleaning approach—0
LongSkywork: A Training Recipe for Efficiently Extending Context Length in Large Language Models—0
Large Language Models for Relevance Judgment in Product Search—0
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based RankingCode0
Jina CLIP: Your CLIP Model Is Also Your Text Retriever—0
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented GeneratorCode0
Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action—0
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models—0
Disentangling and Integrating Relational and Sensory Information in Transformer ArchitecturesCode0
Retrieval-Augmented Mining of Temporal Logic Specifications from Data—0
Top-Down Partitioning for Efficient List-Wise RankingCode0
ASI++: Towards Distributionally Balanced End-to-End Generative Retrieval—0
A Workbench for Autograding Retrieve/Generate SystemsCode0
Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question AnsweringCode0
Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous DataCode0
DLAFormer: An End-to-End Transformer For Document Layout Analysis—0
KG-RAG: Bridging the Gap Between Knowledge and Creativity—0
Effective Clustering on Large Attributed Bipartite GraphsCode0
Thesis: Document Summarization with applications to Keyword extraction and Image Retrieval—0
Unifying 3D Vision-Language Understanding via Promptable Queries—0
Sociotechnical Implications of Generative Artificial Intelligence for Information Access—0
The First Swahili Language Scene Text Detection and Recognition DatasetCode0
On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions—0
EnterpriseEM: Fine-tuned Embeddings for Enterprise Semantic Search—0
INDUS: Effective and Efficient Language Models for Scientific Applications—0
Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy—0
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues—0
Modeling User Preferences via Brain-Computer Interfacing—0
Error-margin Analysis for Hidden Neuron Activation LabelsCode0
LGDE: Local Graph-based Dictionary ExpansionCode0
Identifying Key Terms in Prompts for Relevance Evaluation with GPT Models—0
Event GDR: Event-Centric Generative Document Retrieval—0
Explaining Text Similarity in Transformer ModelsCode0
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models—0
Redefining Information Retrieval of Structured Database via Large Language Models—0
ChatSOS: Vector Database Augmented Generative Question Answering Assistant in Safety Engineering—0
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems—0
LLMs Can Patch Up Missing Relevance Judgments in Evaluation—0
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages—0
CleanGraph: Human-in-the-loop Knowledge Graph Refinement and CompletionCode0
MedPromptExtract (Medical Data Extraction Tool): Anonymization and Hi-fidelity Automated data extraction using NLP and prompt engineering—0
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models—0
Beyond Relevance: Evaluate and Improve Retrievers on Perspective AwarenessCode0
IQLS: Framework for leveraging Metadata to enable Large Language Model based queries to complex, versatile Data—0
Semi-Parametric Retrieval via Binary Bag-of-Tokens IndexCode0
SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India—0
Comparative Analysis of Retrieval Systems in the Real World—0
Distillation for Multilingual Information Retrieval—0
Question Suggestion for Conversational Shopping Assistants Using Product Metadata—0
"In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval"—0
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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