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Information Retrieval

2362 directly classified papers

Papers per year

Papers

Creation and Analysis of an International Corpus of Privacy Laws COLING 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation EMNLP 2024
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval ACL 2024
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation EMNLP 2024
Evidence Retrieval for Fact Verification using Multi-stage Reranking EMNLP 2024
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval EMNLP 2024
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering EMNLP 2024
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings EMNLP 2024
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval EMNLP 2024
Learning to Retrieve In-Context Examples for Large Language Models EACL 2024
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision EMNLP 2024
CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions COLING 2024
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering EMNLP 2024
Enhanced Facet Generation with LLM Editing COLING 2024
Make Your LLM Fully Utilize the Context NIPS 2024
CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search EMNLP 2024
NevIR: Negation in Neural Information Retrieval EACL 2024
Context-Aware Integration of Language and Visual References for Natural Language Tracking CVPR 2024
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese EMNLP 2024
Coarse-Tuning for Ad-hoc Document Retrieval Using Pre-trained Language Models COLING 2024
A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning EMNLP 2024
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment EMNLP 2024
Retrieval Evaluation for Long-Form and Knowledge-Intensive Image–Text Article Composition EMNLP 2024
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation EMNLP 2024
LumberChunker: Long-Form Narrative Document Segmentation EMNLP 2024