SOTAVerified

Re-Ranking

Papers

Showing 301–350 of 743 papers

TitleStatusHype
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers—0
Evaluating Embedding APIs for Information Retrieval—0
Co-BERT: A Context-Aware BERT Retrieval Model Incorporating Local and Query-specific Context—0
Coarse-grained Candidate Generation and Fine-grained Re-ranking for Chinese Abbreviation Prediction—0
Attention-based neural re-ranking approach for next city in trip recommendations—0
Entity Summarization: State of the Art and Future Challenges—0
CNN Retrieval based Unsupervised Metric Learning for Near-Duplicated Video Retrieval—0
Entity Linking via Explicit Mention-Mention Coreference Modeling—0
Cluster-Aware Similarity Diffusion for Instance Retrieval—0
A Three-step Method for Multi-Hop Inference Explanation Regeneration—0
Analyzing and Learning from User Interactions for Search Clarification—0
Ensuring User-side Fairness in Dynamic Recommender Systems—0
Enhancing Self-Disclosure In Neural Dialog Models By Candidate Re-ranking—0
ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish—0
Enhancing Scientific Reproducibility Through Automated BioCompute Object Creation Using Retrieval-Augmented Generation from Publications—0
Enhancing Retrieval Performance: An Ensemble Approach For Hard Negative Mining—0
A Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE—0
Enhancing Recommendation Diversity by Re-ranking with Large Language Models—0
Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models—0
Enhancing Documents with Multidimensional Relevance Statements in Cross-encoder Re-ranking—0
A Technical Report for ICCV 2021 VIPriors Re-identification Challenge—0
English-Korean Named Entity Transliteration Using Substring Alignment and Re-ranking Methods—0
Checkpoint Reranking: An Approach to Select Better Hypothesis for Neural Machine Translation Systems—0
Empowering Language Model with Guided Knowledge Fusion for Biomedical Document Re-ranking—0
Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification—0
EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval—0
ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval—0
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution—0
EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition—0
Char2char Generation with Reranking for the E2E NLG Challenge—0
A Systematic Review of Data-to-Text NLG—0
A Multi-Perspective Learning to Rank Approach to Support Children's Information Seeking in the Classroom—0
AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval—0
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders—0
CEQE: Contextualized Embeddings for Query Expansion—0
CATVis: Context-Aware Thought Visualization—0
Cascaded Fast and Slow Models for Efficient Semantic Code Search—0
Efficient Document Ranking with Learnable Late Interactions—0
CarGait: Cross-Attention based Re-ranking for Gait recognition—0
ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using Language Models and Iterative Re-Ranking—0
Careful Selection of Knowledge to solve Open Book Question Answering—0
Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking—0
A Study on Passage Re-ranking in Embedding based Unsupervised Semantic Search—0
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference—0
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference—0
Candidate re-ranking for SMT-based grammatical error correction—0
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation—0
A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints—0
Aggregate channel features for multi-view face detection—0
ADAM: Autonomous Discovery and Annotation Model using LLMs for Context-Aware Annotations—0
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