Information Retrieval

Building MUSCLE, a Dataset for MUltilingual Semantic Classification of Links between Entities COLING 2024 Can We Instruct LLMs to Compensate for Position Bias? EMNLP 2024 CausalCite: A Causal Formulation of Paper Citations ACL 2024 Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources ICLR 2024 Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering EMNLP 2024 ChatQA: Surpassing GPT-4 on Conversational QA and RAG NeurIPS 2024 ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval EMNLP 2024 CHICOT: A Developer-Assistance Toolkit for Code Search with High-Level Contextual Information AAAI 2024 CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search EMNLP 2024 Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models ECCV 2024 Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines? EMNLP 2024 Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness EACL 2024 ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures EMNLP 2024 ClinicalRAG: Enhancing Clinical Decision Support through Heterogeneous Knowledge Retrieval ACL 2024 CMNEE:A Large-Scale Document-Level Event Extraction Dataset Based on Open-Source Chinese Military News COLING 2024 Coarse-Tuning for Ad-hoc Document Retrieval Using Pre-trained Language Models COLING 2024 CoCoHD: Congress Committee Hearing Dataset EMNLP 2024 Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval AAAI 2024 Combining Observational Data and Language for Species Range Estimation NeurIPS 2024 CompAct: Compressing Retrieved Documents Actively for Question Answering EMNLP 2024 Comparing Knowledge Sources for Open-Domain Scientific Claim Verification EACL 2024 Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval EMNLP 2024 Computational Methods for the Analysis of Complementizer Variability in Language and Literature: The Case of Hebrew “she-” and “ki” EMNLP 2024 CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework AAAI 2024 Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing EMNLP 2024