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 III
Tonellotto, Nicola; Nardini, Franco Maria; Macdonald, Craig; Kazai, Gabriella; Hauff, Claudia; Jannach, Dietmar; Silvestri, Fabrizio; Pinelli, Fabio
Springer International Publishing AG
05/2025
470
Mole
Inglês
9783031887130
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
.- exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem.
.- Unraveling the Impact of Visual Complexity on Search as Learning.
.- Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism.
.- CountNet: Utilising Repetition Counts in Sequential Recommendation.
.- The Impact of Mainstream-Driven Algorithms on Recommendations for Children.
.- Leveraging Query Terms for Efficient Legal Document Recommendation.
.- Inducing Diversity in Differentiable Search Indexing.
.- EGL-DST: Error-Guided Learning for Multidimensional Evaluation Method of Dialogue State Tracking via GPT-4.
.- Examining the Impact of Transcript Accuracy on Podcast Search and Re-Ranking.
.- Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Consumer Health Questions.
.- Counterfactual Query Rewriting to Use Historical Relevance Feedback.
.- Improving Language Model Performance by Training on Prototypical Contradictions.
.- LiT and Lean: Distilling Listwise Rerankers into Encoder-Decoder Models.
.- The Impact of Incidental Multilingual Text on the Cross-Lingual Transferring in Monolingual Retrieval.
.- Approximate Bag-of-Words Top-k Corpus Graphs.
.- Gradual Negative Matching for LLM Unlearning.
.- Fact-Driven Health Information Retrieval: Integrating LLMs and Knowledge Graphs to Combat Misinformation.
.- Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG.
.- Investigating the Performance of Dense Retrievers for Queries with Numerical Conditions.
.- Hierarchical Skip Decoding for Efficient Autoregressive Language Model.
.- Iterative Self-Training for Code Generation via Reinforced Re-Ranking.
.- Efficient Constant-Space Multi-Vector Retrieval.
.- DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs.
.- BAAF - A Framework for Media Bias Detection.
.- A Simple but Effective Closed-form Solution for Extreme Multi-label Learning.
.- Efficient and Effective Conversational Search with Tail Entity Selection.
.- Large Language Model Can Be a Foundation for Hidden Rationale- Based Retrieval.
.- SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation.
.- Benchmarking Prompt Sensitivity in Large Language Models.
.- Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?.
.- Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking.
.- Benchmark Creation for Narrative Knowledge Delta Extraction Tasks: Can LLMs Help?.
.- Passage Segmentation of Documents for Extractive Question Answering.
.- Can Generative AI Adequately Protect Queries? Analyzing the Trade-off Between Privacy Awareness and Retrieval Effectiveness.
.- Retrieval-Augmented Neural Team Formation.
.- A Test Collection for Dataset Retrieval.
.- A new dataset for keyword extraction from IT job descriptions.
.- Entity-Aware Cross-Modal Pretraining for Knowledge-based Visual Question Answering.
.- Patience in Proximity: A Simple Early Termination Strategy for HNSW Graph Traversal in Approximate k-Nearest Neighbor Search.
.- Improving RAG for Personalization with Author Features and Contrastive Examples.
.- E2Rank: Efficient and Effective Layer-wise Reranking.
.- Token-Level Graphs for Short Text Classification.
.- Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets.
.- A Comparative Analysis of Retrieval-Augmented Generation and Crowdsourcing for Fact-Checking.
.- Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers.
.- Unraveling the Impact of Visual Complexity on Search as Learning.
.- Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism.
.- CountNet: Utilising Repetition Counts in Sequential Recommendation.
.- The Impact of Mainstream-Driven Algorithms on Recommendations for Children.
.- Leveraging Query Terms for Efficient Legal Document Recommendation.
.- Inducing Diversity in Differentiable Search Indexing.
.- EGL-DST: Error-Guided Learning for Multidimensional Evaluation Method of Dialogue State Tracking via GPT-4.
.- Examining the Impact of Transcript Accuracy on Podcast Search and Re-Ranking.
.- Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Consumer Health Questions.
.- Counterfactual Query Rewriting to Use Historical Relevance Feedback.
.- Improving Language Model Performance by Training on Prototypical Contradictions.
.- LiT and Lean: Distilling Listwise Rerankers into Encoder-Decoder Models.
.- The Impact of Incidental Multilingual Text on the Cross-Lingual Transferring in Monolingual Retrieval.
.- Approximate Bag-of-Words Top-k Corpus Graphs.
.- Gradual Negative Matching for LLM Unlearning.
.- Fact-Driven Health Information Retrieval: Integrating LLMs and Knowledge Graphs to Combat Misinformation.
.- Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG.
.- Investigating the Performance of Dense Retrievers for Queries with Numerical Conditions.
.- Hierarchical Skip Decoding for Efficient Autoregressive Language Model.
.- Iterative Self-Training for Code Generation via Reinforced Re-Ranking.
.- Efficient Constant-Space Multi-Vector Retrieval.
.- DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs.
.- BAAF - A Framework for Media Bias Detection.
.- A Simple but Effective Closed-form Solution for Extreme Multi-label Learning.
.- Efficient and Effective Conversational Search with Tail Entity Selection.
.- Large Language Model Can Be a Foundation for Hidden Rationale- Based Retrieval.
.- SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation.
.- Benchmarking Prompt Sensitivity in Large Language Models.
.- Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?.
.- Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking.
.- Benchmark Creation for Narrative Knowledge Delta Extraction Tasks: Can LLMs Help?.
.- Passage Segmentation of Documents for Extractive Question Answering.
.- Can Generative AI Adequately Protect Queries? Analyzing the Trade-off Between Privacy Awareness and Retrieval Effectiveness.
.- Retrieval-Augmented Neural Team Formation.
.- A Test Collection for Dataset Retrieval.
.- A new dataset for keyword extraction from IT job descriptions.
.- Entity-Aware Cross-Modal Pretraining for Knowledge-based Visual Question Answering.
.- Patience in Proximity: A Simple Early Termination Strategy for HNSW Graph Traversal in Approximate k-Nearest Neighbor Search.
.- Improving RAG for Personalization with Author Features and Contrastive Examples.
.- E2Rank: Efficient and Effective Layer-wise Reranking.
.- Token-Level Graphs for Short Text Classification.
.- Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets.
.- A Comparative Analysis of Retrieval-Augmented Generation and Crowdsourcing for Fact-Checking.
.- Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers.
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
.- exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem.
.- Unraveling the Impact of Visual Complexity on Search as Learning.
.- Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism.
.- CountNet: Utilising Repetition Counts in Sequential Recommendation.
.- The Impact of Mainstream-Driven Algorithms on Recommendations for Children.
.- Leveraging Query Terms for Efficient Legal Document Recommendation.
.- Inducing Diversity in Differentiable Search Indexing.
.- EGL-DST: Error-Guided Learning for Multidimensional Evaluation Method of Dialogue State Tracking via GPT-4.
.- Examining the Impact of Transcript Accuracy on Podcast Search and Re-Ranking.
.- Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Consumer Health Questions.
.- Counterfactual Query Rewriting to Use Historical Relevance Feedback.
.- Improving Language Model Performance by Training on Prototypical Contradictions.
.- LiT and Lean: Distilling Listwise Rerankers into Encoder-Decoder Models.
.- The Impact of Incidental Multilingual Text on the Cross-Lingual Transferring in Monolingual Retrieval.
.- Approximate Bag-of-Words Top-k Corpus Graphs.
.- Gradual Negative Matching for LLM Unlearning.
.- Fact-Driven Health Information Retrieval: Integrating LLMs and Knowledge Graphs to Combat Misinformation.
.- Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG.
.- Investigating the Performance of Dense Retrievers for Queries with Numerical Conditions.
.- Hierarchical Skip Decoding for Efficient Autoregressive Language Model.
.- Iterative Self-Training for Code Generation via Reinforced Re-Ranking.
.- Efficient Constant-Space Multi-Vector Retrieval.
.- DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs.
.- BAAF - A Framework for Media Bias Detection.
.- A Simple but Effective Closed-form Solution for Extreme Multi-label Learning.
.- Efficient and Effective Conversational Search with Tail Entity Selection.
.- Large Language Model Can Be a Foundation for Hidden Rationale- Based Retrieval.
.- SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation.
.- Benchmarking Prompt Sensitivity in Large Language Models.
.- Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?.
.- Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking.
.- Benchmark Creation for Narrative Knowledge Delta Extraction Tasks: Can LLMs Help?.
.- Passage Segmentation of Documents for Extractive Question Answering.
.- Can Generative AI Adequately Protect Queries? Analyzing the Trade-off Between Privacy Awareness and Retrieval Effectiveness.
.- Retrieval-Augmented Neural Team Formation.
.- A Test Collection for Dataset Retrieval.
.- A new dataset for keyword extraction from IT job descriptions.
.- Entity-Aware Cross-Modal Pretraining for Knowledge-based Visual Question Answering.
.- Patience in Proximity: A Simple Early Termination Strategy for HNSW Graph Traversal in Approximate k-Nearest Neighbor Search.
.- Improving RAG for Personalization with Author Features and Contrastive Examples.
.- E2Rank: Efficient and Effective Layer-wise Reranking.
.- Token-Level Graphs for Short Text Classification.
.- Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets.
.- A Comparative Analysis of Retrieval-Augmented Generation and Crowdsourcing for Fact-Checking.
.- Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers.
.- Unraveling the Impact of Visual Complexity on Search as Learning.
.- Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism.
.- CountNet: Utilising Repetition Counts in Sequential Recommendation.
.- The Impact of Mainstream-Driven Algorithms on Recommendations for Children.
.- Leveraging Query Terms for Efficient Legal Document Recommendation.
.- Inducing Diversity in Differentiable Search Indexing.
.- EGL-DST: Error-Guided Learning for Multidimensional Evaluation Method of Dialogue State Tracking via GPT-4.
.- Examining the Impact of Transcript Accuracy on Podcast Search and Re-Ranking.
.- Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Consumer Health Questions.
.- Counterfactual Query Rewriting to Use Historical Relevance Feedback.
.- Improving Language Model Performance by Training on Prototypical Contradictions.
.- LiT and Lean: Distilling Listwise Rerankers into Encoder-Decoder Models.
.- The Impact of Incidental Multilingual Text on the Cross-Lingual Transferring in Monolingual Retrieval.
.- Approximate Bag-of-Words Top-k Corpus Graphs.
.- Gradual Negative Matching for LLM Unlearning.
.- Fact-Driven Health Information Retrieval: Integrating LLMs and Knowledge Graphs to Combat Misinformation.
.- Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG.
.- Investigating the Performance of Dense Retrievers for Queries with Numerical Conditions.
.- Hierarchical Skip Decoding for Efficient Autoregressive Language Model.
.- Iterative Self-Training for Code Generation via Reinforced Re-Ranking.
.- Efficient Constant-Space Multi-Vector Retrieval.
.- DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs.
.- BAAF - A Framework for Media Bias Detection.
.- A Simple but Effective Closed-form Solution for Extreme Multi-label Learning.
.- Efficient and Effective Conversational Search with Tail Entity Selection.
.- Large Language Model Can Be a Foundation for Hidden Rationale- Based Retrieval.
.- SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation.
.- Benchmarking Prompt Sensitivity in Large Language Models.
.- Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?.
.- Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking.
.- Benchmark Creation for Narrative Knowledge Delta Extraction Tasks: Can LLMs Help?.
.- Passage Segmentation of Documents for Extractive Question Answering.
.- Can Generative AI Adequately Protect Queries? Analyzing the Trade-off Between Privacy Awareness and Retrieval Effectiveness.
.- Retrieval-Augmented Neural Team Formation.
.- A Test Collection for Dataset Retrieval.
.- A new dataset for keyword extraction from IT job descriptions.
.- Entity-Aware Cross-Modal Pretraining for Knowledge-based Visual Question Answering.
.- Patience in Proximity: A Simple Early Termination Strategy for HNSW Graph Traversal in Approximate k-Nearest Neighbor Search.
.- Improving RAG for Personalization with Author Features and Contrastive Examples.
.- E2Rank: Efficient and Effective Layer-wise Reranking.
.- Token-Level Graphs for Short Text Classification.
.- Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets.
.- A Comparative Analysis of Retrieval-Augmented Generation and Crowdsourcing for Fact-Checking.
.- Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers.
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
