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Showing 426–450 of 586 papers

TitleStatusHype
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
Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection—0
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval—0
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs—0
Model Agnostic Answer Reranking System for Adversarial Question Answering—0
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning—0
Multi-Document Summarization via Discriminative Summary Reranking—0
Multilingual Answer Sentence Reranking via Automatically Translated Data—0
Multimodal Pivots for Image Caption Translation—0
Multimodal Reranking for Knowledge-Intensive Visual Question Answering—0
Multi-Query Focused Disaster Summarization via Instruction-Based Prompting—0
Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention—0
N-Best Hypotheses Reranking for Text-To-SQL Systems—0
Neural Attention for Learning to Rank Questions in Community Question Answering—0
Neural Automatic Post-Editing Using Prior Alignment and Reranking—0
Neural Reranking for Dependency Parsing: An Evaluation—0
Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015—0
NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost—0
Neural Sequence-Labelling Models for Grammatical Error Correction—0
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