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 19512000 of 4740 papers

TitleStatusHype
A Gold Standard for CLIR evaluation in the Organic Agriculture Domain0
Generalized Abbreviation Prediction with Negative Full Forms and Its Application on Improving Chinese Web Search0
A contrastive review of paraphrase acquisition techniques0
Generalized Relative Neighborhood Graph (GRNG) for Similarity Search0
Generalized residual vector quantization for large scale data0
Generalized Weak Supervision for Neural Information Retrieval0
Generating and using probabilistic morphological resources for the biomedical domain0
Generating Answering Patterns from Factoid Arabic Questions0
A Calibration Method for Evaluation of Sentiment Analysis0
Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training0
Dynamic Entity Memory Network for Dialogue Relational Triplet Extraction0
Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking0
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction0
DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets0
DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles0
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos0
Generative Information Retrieval Evaluation0
Natural Language Programming in Medicine: Administering Evidence Based Clinical Workflows with Autonomous Agents Powered by Generative Large Language Models0
Generative Query Reformulation for Effective Adhoc Search0
Generative Retrieval Meets Multi-Graded Relevance0
Generative Semantic Hashing Enhanced via Boltzmann Machines0
Generic decoding of seen and imagined objects using hierarchical visual features0
An Initial Test Collection for Ranked Retrieval of SMS Conversations0
DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis0
Genre Identification and the Compositional Effect of Genre in Literature0
GenTREC: The First Test Collection Generated by Large Language Models for Evaluating Information Retrieval Systems0
Geodabs: Trajectory Indexing Meets Fingerprinting at Scale0
GeoRAG: A Question-Answering Approach from a Geographical Perspective0
Geospatial Semantics0
GerDaLIR: A German Dataset for Legal Information Retrieval0
Duplicate Detection in a Knowledge Base with PIKA0
GeSERA: General-domain Summary Evaluation by Relevance Analysis0
Duplicate Bug Report Detection With a Combination of Information Retrieval and Topic Modeling0
Getting Started with Neural Models for Semantic Matching in Web Search0
Dudley North visits North London: Learning When to Transliterate to Arabic0
Beyond Extraction: Contextualising Tabular Data for Efficient Summarisation by Language Models0
Aggregating Continuous Word Embeddings for Information Retrieval0
DSRIM: A Deep Neural Information Retrieval Model Enhanced by a Knowledge Resource Driven Representation of Documents0
Giving Lexical Resources a Second Life: D\'emonette, a Multi-sourced Morpho-semantic Network for French0
GLEAKE: Global and Local Embedding Automatic Keyphrase Extraction0
GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian0
Global Intelligent Content: Active Curation of Language Resources using Linked Data0
Global-Liar: Factuality of LLMs over Time and Geographic Regions0
Global Ranking Using Continuous Conditional Random Fields0
DSC-IITISM at FinCausal 2021: Combining POS tagging with Attention-based Contextual Representations for Identifying Causal Relationships in Financial Documents0
Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data0
DS4DH at TREC Health Misinformation 2021: Multi-Dimensional Ranking Models with Transfer Learning and Rank Fusion0
Beyond [CLS] through Ranking by Generation0
An Information Retrieval Approach to Finding Dependent Subspaces of Multiple Views0
Dropping Convexity for More Efficient and Scalable Online Multiview Learning0
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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