Advances in Information Retrieval

.- 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.