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Showing 551–600 of 743 papers

TitleStatusHype
MedEIR: A Specialized Medical Embedding Model for Enhanced Information Retrieval—0
Methods Combination and ML-based Re-ranking of Multiple Hypothesis for Question-Answering Systems—0
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning—0
Minimum Bayes Risk based Answer Re-ranking for Question Answering—0
Mobile Supply: The Last Piece of Jigsaw of Recommender System—0
Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification—0
mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation—0
Multi-factor Sequential Re-ranking with Perception-Aware Diversification—0
Multi-Granularity Fusion Network for Proposal and Activity Localization: Submission to ActivityNet Challenge 2019 Task 1 and Task 2—0
Multilingual Multi-modal Embeddings for Natural Language Processing—0
Multilingual Open QA on the MIA Shared Task—0
Multilingual Transformer Language Model for Speech Recognition in Low-resource Languages—0
Multimodal Misinformation Detection using Large Vision-Language Models—0
Multi-modal Representation Learning for Video Advertisement Content Structuring—0
Multi-Modal Retrieval using Graph Neural Networks—0
Multi-Perspective Semantic Information Retrieval in the Biomedical Domain—0
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems—0
Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation—0
Multi-Turn Multi-Modal Question Clarification for Enhanced Conversational Understanding—0
Multi-Vector Attention Models for Deep Re-ranking—0
Mutual Enhancement for Detection of Multiple Logos in Sports Videos—0
Navigation-Based Candidate Expansion and Pretrained Language Models for Citation Recommendation—0
Neural and FST-based approaches to grammatical error correction—0
Neural Automatic Post-Editing Using Prior Alignment and Reranking—0
Noisy Channel for Automatic Text Simplification—0
NTT's Neural Machine Translation Systems for WMT 2018—0
NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21—0
NVIDIA NeMo’s Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21—0
On Improving Informativity and Grammaticality for Multi-Sentence Compression—0
Online Distillation for Pseudo-Relevance Feedback—0
On Model-Free Re-ranking for Visual Place Recognition with Deep Learned Local Features—0
Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces—0
Opportunistic Multi-aspect Fairness through Personalized Re-ranking—0
Optimizing Compound Retrieval Systems—0
Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and Efficiency—0
Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management—0
PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation—0
Papago’s Submissions to the WMT21 Triangular Translation Task—0
PaRaDe: Passage Ranking using Demonstrations with Large Language Models—0
PatchFinder: A Two-Phase Approach to Security Patch Tracing for Disclosed Vulnerabilities in Open-Source Software—0
Pay More Attention to Relation Exploration for Knowledge Base Question Answering—0
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation—0
Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment—0
Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems—0
Personalized Entity Search by Sparse and Scrutable User Profiles—0
Personalized Ranking in eCommerce Search—0
Personalized Re-ranking for Improving Diversity in Live Recommender Systems—0
Personalizing Fairness-aware Re-ranking—0
Person Re-ID through Unsupervised Hypergraph Rank Selection and Fusion—0
Phrase Based Language Model for Statistical Machine Translation: Empirical Study—0
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