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Showing 301–350 of 586 papers

TitleStatusHype
Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation—0
Double Retrieval and Ranking for Accurate Question Answering—0
Drowning in Documents: Consequences of Scaling Reranker Inference—0
E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection—0
Early and Late Combinations of Criteria for Reranking Distributional Thesauri—0
EdgeRec: Recommender System on Edge in Mobile Taobao—0
Effective Inference for Generative Neural Parsing—0
Efficient Biomedical Entity Linking: Clinical Text Standardization with Low-Resource Techniques—0
Efficient Stacked Dependency Parsing by Forest Reranking—0
Efficient Title Reranker for Fast and Improved Knowledge-Intense NLP—0
Embedding-based Recommender System for Job to Candidate Matching on Scale—0
Enabling arbitrary translation objectives with Adaptive Tree Search—0
Encoding Semantic Resources in Syntactic Structures for Passage Reranking—0
End-to-end Learnable Diversity-aware News Recommendation—0
Enhancing Relevance of Embedding-based Retrieval at Walmart—0
Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation—0
Ensemble and Reranking: Using Multiple Models in the NICT-2 Neural Machine Translation System at WAT2017—0
Entropy and Graph Based Modelling of Document Coherence using Discourse Entities: An Application—0
RAG-Fusion: a New Take on Retrieval-Augmented Generation—0
RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis—0
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models—0
Ranking Facts for Explaining Answers to Elementary Science Questions—0
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference—0
Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model—0
Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks—0
RankLLM: A Python Package for Reranking with LLMs—0
Re2G: Retrieve, Rerank, Generate—0
Re3val: Reinforced and Reranked Generative Retrieval—0
RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer—0
ReasoningRank: Teaching Student Models to Rank through Reasoning-Based Knowledge Distillation—0
Repr\'esentations continues d\'eriv\'ees des caract\`eres pour un mod\`ele de langue neuronal \`a vocabulaire ouvert (Opening the vocabulary of neural language models with character-level word representations)—0
Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models—0
Reranking for Neural Semantic Parsing—0
Reranking Laws for Language Generation: A Communication-Theoretic Perspective—0
Reranking Machine Translation Hypotheses with Structured and Web-based Language Models—0
Reranking Passages with Coarse-to-Fine Neural Retriever Enhanced by List-Context Information—0
Reranking Translation Candidates Produced by Several Bilingual Word Similarity Sources—0
Reranking with Compressed Document Representation—0
Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition—0
Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots—0
Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization—0
RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation—0
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization—0
Samsung and University of Edinburgh’s System for the IWSLT 2019—0
Samsung R&D Institute Philippines at WMT 2023—0
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression—0
Scalable domain adaptation of convolutional neural networks—0
SciEv: Finding Scientific Evidence Papers for Scientific News—0
SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation—0
SDR: Efficient Neural Re-ranking using Succinct Document Representation—0
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