Advances in Information Retrieval, Kartoniert / Broschiert

Klappentext

.- 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.