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Information Retrieval
2362 directly classified papers
Papers per year
2000: 1
2007: 2
2008: 2
2009: 7
2010: 1
2012: 1
2013: 9
2015: 1
2016: 15
2017: 45
2018: 87
2019: 103
2020: 130
2021: 188
2022: 231
2023: 272
2024: 399
2025: 750
2026: 118
Papers
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval
ACL 2024
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
EMNLP 2024
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems
NAACL 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
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
EMNLP 2024
Make Your LLM Fully Utilize the Context
NIPS 2024
CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search
EMNLP 2024
VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding
NIPS 2024
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese
EMNLP 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
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
EMNLP 2024
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
EMNLP 2024
Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding
ACL 2024
Enhancing Swedish Parliamentary Data: Annotation, Accessibility, and Application in Digital Humanities
EMNLP 2024
LongEmbed: Extending Embedding Models for Long Context Retrieval
EMNLP 2024
Fine-Grained Alignment for Cross-Modal Recipe Retrieval
WACV 2024
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing
EMNLP 2024
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