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Reranking

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Showing 401–450 of 586 papers

TitleStatusHype
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding—0
A Search-Based Dynamic Reranking Model for Dependency Parsing—0
A Self-supervised Joint Training Framework for Document Reranking—0
A Simple and Effective Approach to Coverage-Aware Neural Machine Translation—0
A Simple Baseline for Beam Search Reranking—0
Assessing generalization capability of text ranking models in Polish—0
Assessing the Benefits of Model Ensembles in Neural Re-Ranking for Passage Retrieval—0
A Study of Latent Structured Prediction Approaches to Passage Reranking—0
A Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE—0
Automating Personalization: Prompt Optimization for Recommendation Reranking—0
Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation—0
BEIR-NL: Zero-shot Information Retrieval Benchmark for the Dutch Language—0
Better than BERT but Worse than Baseline—0
Reranking individuals: The effect of fair classification within-groups—0
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion—0
Boosting Search Engines with Interactive Agents—0
CEQE: Contextualized Embeddings for Query Expansion—0
ChainRank-DPO: Chain Rank Direct Preference Optimization for LLM Rankers—0
Char2char Generation with Reranking for the E2E NLG Challenge—0
Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation—0
Checkpoint Reranking: An Approach to Select Better Hypothesis for Neural Machine Translation Systems—0
CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code—0
CIKMar: A Dual-Encoder Approach to Prompt-Based Reranking in Educational Dialogue Systems—0
Citations as Queries: Source Attribution Using Language Models as Rerankers—0
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR—0
Coarse-to-Fine Knowledge Selection for Document Grounded Dialogs—0
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance—0
Coherent Dialogue with Attention-based Language Models—0
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation—0
Combination of Neural Machine Translation Systems at WMT20—0
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization—0
Comparative Analysis of Listwise Reranking with Large Language Models in Limited-Resource Language Contexts—0
Complementing Lexical Retrieval with Semantic Residual Embedding—0
Comprehensive List Generation for Multi-Generator Reranking—0
Concept-Based Embeddings for Natural Language Processing—0
Concept-to-text Generation via Discriminative Reranking—0
Congruency-Based Reranking—0
Consecutive Question Generation via Dynamic Multitask Learning—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—0
Context-aware Reranking with Utility Maximization for Recommendation—0
Context-Aware Text Normalisation for Historical Dialects—0
Continuous Active Learning Using Pretrained Transformers—0
Conversational Text-to-SQL: An Odyssey into State-of-the-Art and Challenges Ahead—0
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking—0
Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding—0
Creating Causal Embeddings for Question Answering with Minimal Supervision—0
Cross-genre Document Retrieval: Matching between Conversational and Formal Writings—0
Cross-language Learning with Adversarial Neural Networks—0
Cross-language Learning with Adversarial Neural Networks: Application to Community Question Answering—0
Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval—0
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