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Citation Prediction

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Showing 1–24 of 24 papers

TitleStatusHype
Galactica: A Large Language Model for ScienceCode4
SGPT: GPT Sentence Embeddings for Semantic SearchCode2
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsCode2
Neighborhood Contrastive Learning for Scientific Document Representations with Citation EmbeddingsCode1
SPECTER: Document-level Representation Learning using Citation-informed TransformersCode1
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot RetrievalCode1
Citation-Enhanced Generation for LLM-based ChatbotsCode1
When Large Language Models Meet Citation: A Survey—0
Dynamic technology impact analysis: A multi-task learning approach to patent citation prediction—0
Longitudinal Citation Prediction using Temporal Graph Neural Networks—0
Methods for Legal Citation Prediction in the Age of LLMs: An Australian Law Case Study—0
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction—0
SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction.—0
Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles—0
Structured Citation Trend Prediction Using Graph Neural Networks—0
A Hybrid Generative/Discriminative Approach To Citation Prediction—0
PaECTER: Patent-level Representation Learning using Citation-informed Transformers—0
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding—0
Prototype-Based Interpretability for Legal Citation Prediction—0
SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction—0
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation PredictionCode0
Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS TokensCode0
CiteBART: Learning to Generate Citations for Local Citation RecommendationCode0
Patent Citation Dynamics Modeling via Multi-Attention Recurrent NetworksCode0
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