SOTAVerified

Reranking

Papers

Showing 501525 of 586 papers

TitleStatusHype
RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical TextsCode0
TWOLAR: a TWO-step LLM-Augmented distillation method for passage RerankingCode0
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest NeighborsCode0
JointRank: Rank Large Set with Single PassCode0
RALLRec+: Retrieval Augmented Large Language Model Recommendation with ReasoningCode0
medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRsCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
Efficiency-Effectiveness Reranking FLOPs for LLM-based RerankersCode0
InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language ModelsCode0
Beyond Content Relevance: Evaluating Instruction Following in Retrieval ModelsCode0
EEL: Efficiently Encoding Lattices for RerankingCode0
In-Order Transition-based Constituent ParsingCode0
Incremental Beam Manipulation for Natural Language GenerationCode0
A Bird's-eye View of Reranking: from List Level to Page LevelCode0
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document RetrievalCode0
An Empirical Study of Translation Hypothesis Ensembling with Large Language ModelsCode0
Modeling Diagnostic Label Correlation for Automatic ICD CodingCode0
Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage ResolutionCode0
Semantic Specialization for Knowledge-based Word Sense DisambiguationCode0
MultiConIR: Towards multi-condition Information RetrievalCode0
Benchmarking pre-trained text embedding models in aligning built asset informationCode0
Hybrid and Collaborative Passage RerankingCode0
Rank-K: Test-Time Reasoning for Listwise RerankingCode0
Improving Quality and Efficiency in Plan-based Neural Data-to-Text GenerationCode0
EcoRank: Budget-Constrained Text Re-ranking Using Large Language ModelsCode0
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