Advances in Information Retrieval
portes grátis
Advances in Information Retrieval
47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part II
Hauff, Claudia; Nardini, Franco Maria; Pinelli, Fabio; Kazai, Gabriella; Tonellotto, Nicola; Jannach, Dietmar; Macdonald, Craig; Silvestri, Fabrizio
Springer International Publishing AG
05/2025
472
Mole
Inglês
9783031887109
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
.- Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders.
.- Patent Figure Classification using Large Vision-language Models.
.- E!cient Session Retrieval Using Topical Index Shards.
.- Feature Attribution Explanations of Session-based Recommendations.
.- Evaluating Sequential Recommendations in the Wild: A Case Study on offine Accuracy, Click Rates, and Consumption.
.- Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering.
.- Exploring the relationship between listener receptivity and source of music recommendations.
.- News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation.
.- Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval.
.- Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval.
.- MVAM: Multi-View Attention Method for Fine-grained Image-Text Matching.
.- An Investigation of Prompt Variations for Zero-shot LLM-based Rankers.
.- Query Performance Prediction using Dimension Importance Estimators.
.- Uncertainty Estimation in the Real World: A study on Music Emotion Recognition.
.- Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models.
.- Semi-Supervised Image-Based Narrative Extraction: A Case Study with Historical Photographic Records.
.- LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation.
.- PEIR: Modeling Performance in Neural Information Retrieval.
.- mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval.
.- Leveraging Retrieval-Augmented Generation for Keyphrase Synonym Suggestion.
.- Can Large Language Models E#ectively Rerank News Articles for Background Linking?.
.- OKRA: an Explainable, Heterogeneous, Multi-Stakeholder Job Recommender System.
.- CUP: a Framework for Resource-E!cient Review-Based Recommenders.
.- Towards E!cient and Explainable Hate Speech Detection via Model Distillation.
.- Visual Latent Captioning - Towards Verbalizing Vision Transformer Encoders.
.- On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective.
.- Towards Reliable Testing for Multiple Information Retrieval System Comparisons.
.- Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval.
.- Patent Figure Classification using Large Vision-language Models.
.- E!cient Session Retrieval Using Topical Index Shards.
.- Feature Attribution Explanations of Session-based Recommendations.
.- Evaluating Sequential Recommendations in the Wild: A Case Study on offine Accuracy, Click Rates, and Consumption.
.- Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering.
.- Exploring the relationship between listener receptivity and source of music recommendations.
.- News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation.
.- Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval.
.- Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval.
.- MVAM: Multi-View Attention Method for Fine-grained Image-Text Matching.
.- An Investigation of Prompt Variations for Zero-shot LLM-based Rankers.
.- Query Performance Prediction using Dimension Importance Estimators.
.- Uncertainty Estimation in the Real World: A study on Music Emotion Recognition.
.- Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models.
.- Semi-Supervised Image-Based Narrative Extraction: A Case Study with Historical Photographic Records.
.- LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation.
.- PEIR: Modeling Performance in Neural Information Retrieval.
.- mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval.
.- Leveraging Retrieval-Augmented Generation for Keyphrase Synonym Suggestion.
.- Can Large Language Models E#ectively Rerank News Articles for Background Linking?.
.- OKRA: an Explainable, Heterogeneous, Multi-Stakeholder Job Recommender System.
.- CUP: a Framework for Resource-E!cient Review-Based Recommenders.
.- Towards E!cient and Explainable Hate Speech Detection via Model Distillation.
.- Visual Latent Captioning - Towards Verbalizing Vision Transformer Encoders.
.- On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective.
.- Towards Reliable Testing for Multiple Information Retrieval System Comparisons.
.- Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
information retrieval;retrieval models and architectures;classification;query processing and ranking;efficiency and scalability;deep learning and neural models;natural language processing;graph models;web search;recommender systems;web and social media apps;professional and domain-specific search;novel interfaces to search tools;intelligent search;conversational agents;evaluation retrieval systems;bias;ethics;fake news and hate speech
.- Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders.
.- Patent Figure Classification using Large Vision-language Models.
.- E!cient Session Retrieval Using Topical Index Shards.
.- Feature Attribution Explanations of Session-based Recommendations.
.- Evaluating Sequential Recommendations in the Wild: A Case Study on offine Accuracy, Click Rates, and Consumption.
.- Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering.
.- Exploring the relationship between listener receptivity and source of music recommendations.
.- News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation.
.- Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval.
.- Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval.
.- MVAM: Multi-View Attention Method for Fine-grained Image-Text Matching.
.- An Investigation of Prompt Variations for Zero-shot LLM-based Rankers.
.- Query Performance Prediction using Dimension Importance Estimators.
.- Uncertainty Estimation in the Real World: A study on Music Emotion Recognition.
.- Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models.
.- Semi-Supervised Image-Based Narrative Extraction: A Case Study with Historical Photographic Records.
.- LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation.
.- PEIR: Modeling Performance in Neural Information Retrieval.
.- mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval.
.- Leveraging Retrieval-Augmented Generation for Keyphrase Synonym Suggestion.
.- Can Large Language Models E#ectively Rerank News Articles for Background Linking?.
.- OKRA: an Explainable, Heterogeneous, Multi-Stakeholder Job Recommender System.
.- CUP: a Framework for Resource-E!cient Review-Based Recommenders.
.- Towards E!cient and Explainable Hate Speech Detection via Model Distillation.
.- Visual Latent Captioning - Towards Verbalizing Vision Transformer Encoders.
.- On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective.
.- Towards Reliable Testing for Multiple Information Retrieval System Comparisons.
.- Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval.
.- Patent Figure Classification using Large Vision-language Models.
.- E!cient Session Retrieval Using Topical Index Shards.
.- Feature Attribution Explanations of Session-based Recommendations.
.- Evaluating Sequential Recommendations in the Wild: A Case Study on offine Accuracy, Click Rates, and Consumption.
.- Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering.
.- Exploring the relationship between listener receptivity and source of music recommendations.
.- News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation.
.- Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval.
.- Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval.
.- MVAM: Multi-View Attention Method for Fine-grained Image-Text Matching.
.- An Investigation of Prompt Variations for Zero-shot LLM-based Rankers.
.- Query Performance Prediction using Dimension Importance Estimators.
.- Uncertainty Estimation in the Real World: A study on Music Emotion Recognition.
.- Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models.
.- Semi-Supervised Image-Based Narrative Extraction: A Case Study with Historical Photographic Records.
.- LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation.
.- PEIR: Modeling Performance in Neural Information Retrieval.
.- mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval.
.- Leveraging Retrieval-Augmented Generation for Keyphrase Synonym Suggestion.
.- Can Large Language Models E#ectively Rerank News Articles for Background Linking?.
.- OKRA: an Explainable, Heterogeneous, Multi-Stakeholder Job Recommender System.
.- CUP: a Framework for Resource-E!cient Review-Based Recommenders.
.- Towards E!cient and Explainable Hate Speech Detection via Model Distillation.
.- Visual Latent Captioning - Towards Verbalizing Vision Transformer Encoders.
.- On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective.
.- Towards Reliable Testing for Multiple Information Retrieval System Comparisons.
.- Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
information retrieval;retrieval models and architectures;classification;query processing and ranking;efficiency and scalability;deep learning and neural models;natural language processing;graph models;web search;recommender systems;web and social media apps;professional and domain-specific search;novel interfaces to search tools;intelligent search;conversational agents;evaluation retrieval systems;bias;ethics;fake news and hate speech
