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Information Retrieval

2362 directly classified papers

Papers per year

Papers

Towards a Complete Benchmark on Video Moment Localization AISTATS 2024
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation EMNLP 2024
LLMs as Collaborator: Demands-Guided Collaborative Retrieval-Augmented Generation for Commonsense Knowledge-Grounded Open-Domain Dialogue Systems EMNLP 2024
H-LegalKI: A Hierarchical Legal Knowledge Integration Framework for Legal Community Question Answering EMNLP 2024
Dense Passage Retrieval: Is it Retrieving? EMNLP 2024
ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval ACL 2024
string2string: A Modern Python Library for String-to-String Algorithms ACL 2024
Reinforcement Retrieval Leveraging Fine-grained Feedback for Fact Checking News Claims with Black-Box LLM COLING 2024
CoCoHD: Congress Committee Hearing Dataset EMNLP 2024
RADCoT: Retrieval-Augmented Distillation to Specialization Models for Generating Chain-of-Thoughts in Query Expansion COLING 2024
An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements ACL 2024
Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation EMNLP 2024
PIRB: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods COLING 2024
“Knowing When You Don’t Know”: A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation EMNLP 2024
Can We Instruct LLMs to Compensate for Position Bias? EMNLP 2024
OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement COLING 2024
Multi-Granularity Fusion Text Semantic Matching Based on WoBERT COLING 2024
Relevance-aware Diverse Query Generation for Out-of-domain Text Ranking ACL 2024
Logic Rules as Explanations for Legal Case Retrieval COLING 2024
Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations EMNLP 2024
Overview of the Context24 Shared Task on Contextualizing Scientific Claims ACL 2024
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions COLING 2024
Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever ACL 2024
Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval COLING 2024
HyQE: Ranking Contexts with Hypothetical Query Embeddings EMNLP 2024