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Reranking

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Showing 551–586 of 586 papers

TitleStatusHype
K-Best Spanning Tree Dependency Parsing With Verb Valency Lexicon Reranking—0
KeyB2: Selecting Key Blocks is Also Important for Long Document Ranking with Large Language Models—0
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering—0
Kingsoft's Neural Machine Translation System for WMT19—0
Knowledge-Aided Open-Domain Question Answering—0
Knowledge-Aware Diverse Reranking for Cross-Source Question Answering—0
Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning—0
Know When To Stop: A Study of Semantic Drift in Text Generation—0
KNU-HYUNDAI's NMT system for Scientific Paper and Patent Tasks onWAT 2019—0
Large-scale discriminative language model reranking for voice-search—0
Later-stage Minimum Bayes-Risk Decoding for Neural Machine Translation—0
Learning Adaptable Patterns for Passage Reranking—0
Learning from errors: Using vector-based compositional semantics for parse reranking—0
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation—0
Learning List-Level Domain-Invariant Representations for Ranking—0
Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages—0
Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking—0
Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT—0
Let your LLM generate a few tokens and you will reduce the need for retrieval—0
Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERT—0
Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation—0
Leveraging Structured Metadata for Improving Question Answering on the Web—0
Leveraging Task Information in Grammatical Error Correction for Short Answer Assessment through Context-based Reranking—0
ListConRanker: A Contrastive Text Reranker with Listwise Encoding—0
LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries—0
LLM-Based Compact Reranking with Document Features for Scientific Retrieval—0
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations—0
Local positional graphs and attentive local features for a data and runtime-efficient hierarchical place recognition pipeline—0
LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems—0
Low-Dimensional Discriminative Reranking—0
Making Information Seeking Easier: An Improved Pipeline for Conversational Search—0
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration—0
Mask-aware Text-to-Image Retrieval: Referring Expression Segmentation Meets Cross-modal Retrieval—0
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods—0
MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models—0
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval—0
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