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Reranking

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Showing 251–300 of 586 papers

TitleStatusHype
TWOLAR: a TWO-step LLM-Augmented distillation method for passage RerankingCode0
InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language ModelsCode0
A Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE—0
Local positional graphs and attentive local features for a data and runtime-efficient hierarchical place recognition pipeline—0
LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries—0
ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval—0
Assessing generalization capability of text ranking models in Polish—0
Towards Trustworthy Reranking: A Simple yet Effective Abstention MechanismCode0
EcoRank: Budget-Constrained Text Re-ranking Using Large Language ModelsCode0
Multi-Query Focused Disaster Summarization via Instruction-Based Prompting—0
Towards Unified Alignment Between Agents, Humans, and Environment—0
Non-autoregressive Generative Models for Reranking Recommendation—0
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented GenerationCode0
eXplainable Bayesian Multi-Perspective Generative Retrieval—0
RAG-Fusion: a New Take on Retrieval-Augmented Generation—0
Re3val: Reinforced and Reranked Generative Retrieval—0
Reranking individuals: The effect of fair classification within-groups—0
Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation—0
Using Natural Language Inference to Improve Persona Extraction from Dialogue in a New Domain—0
Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages—0
Efficient Title Reranker for Fast and Improved Knowledge-Intense NLP—0
Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking—0
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance—0
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning—0
Aligning Neural Machine Translation Models: Human Feedback in Training and Inference—0
On Elastic Language Models—0
Samsung R&D Institute Philippines at WMT 2023—0
Affective and Dynamic Beam Search for Story GenerationCode0
Strong and Efficient Baselines for Open Domain Conversational Question Answering—0
An Empirical Study of Translation Hypothesis Ensembling with Large Language ModelsCode0
Alteration Detection of Tensor Dependence Structure via Sparsity-Exploited Reranking Algorithm—0
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model—0
Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models—0
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods—0
Zero-shot Audio Topic Reranking using Large Language Models—0
Reranking Passages with Coarse-to-Fine Neural Retriever Enhanced by List-Context Information—0
Discrete Conditional Diffusion for Reranking in Recommendation—0
Learning Evaluation Models from Large Language Models for Sequence GenerationCode0
Seasonality Based Reranking of E-commerce Autocomplete Using Natural Language Queries—0
Lightweight reranking for language model generations—0
Citations as Queries: Source Attribution Using Language Models as Rerankers—0
Prompting Large Language Models for Zero-Shot Domain Adaptation in Speech Recognition—0
How About Kind of Generating Hedges using End-to-End Neural Models?Code0
T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic ParsingCode0
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary RerankingCode0
EEL: Efficiently Encoding Lattices for RerankingCode0
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender—0
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest NeighborsCode0
Bidirectional Transformer Reranker for Grammatical Error CorrectionCode0
Accurate Knowledge Distillation with n-best Reranking—0
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