{"total":44,"rows":[{"id":"2110.07367","title":"RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking","created":"2021-10-14","cited_by_count":176,"area":null},{"id":"2308.01862","title":"Wider and Deeper LLM Networks are Fairer LLM Evaluators","created":"2023-08-03","cited_by_count":94,"area":null},{"id":"2103.15049","title":"HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval","created":"2021-03-28","cited_by_count":87,"area":null},{"id":"2204.13679","title":"Curriculum Learning for Dense Retrieval Distillation","created":"2022-04-28","cited_by_count":38,"area":null},{"id":"2109.03502","title":"R2-D2: A Modular Baseline for Open-Domain Question Answering","created":"2021-09-08","cited_by_count":37,"area":null},{"id":"2206.08063","title":"Towards Robust Ranker for Text Retrieval","created":"2022-06-16","cited_by_count":37,"area":null},{"id":"2403.13310","title":"A Semantic Search Engine for Mathlib4","created":"2024-03-20","cited_by_count":31,"area":null},{"id":"2101.00294","title":"Rider: Reader-Guided Passage Reranking for Open-Domain Question Answering","created":"2021-01-01","cited_by_count":28,"area":null},{"id":"2306.02553","title":"Learning to Relate to Previous Turns in Conversational Search","created":"2023-06-05","cited_by_count":26,"area":null},{"id":"2202.06218","title":"Emotion Based Hate Speech Detection using Multimodal Learning","created":"2022-02-13","cited_by_count":18,"area":null},{"id":"2102.11903","title":"Neural ranking models for document retrieval","created":"2021-02-23","cited_by_count":16,"area":null},{"id":"2409.07691","title":"Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG","created":"2024-09-12","cited_by_count":16,"area":null},{"id":"2110.15803","title":"Natural Language Processing for Smart Healthcare","created":"2021-10-19","cited_by_count":14,"area":null},{"id":"2305.18144","title":"GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking","created":"2023-05-29","cited_by_count":11,"area":null},{"id":"2104.01666","title":"Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning","created":"2021-04-04","cited_by_count":9,"area":null},{"id":"2109.02789","title":"Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval","created":"2021-09-07","cited_by_count":8,"area":null},{"id":"2205.01886","title":"P^3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning","created":"2022-05-04","cited_by_count":7,"area":null},{"id":"2102.10697","title":"Pruning the Index Contents for Memory Efficient Open-Domain QA","created":"2021-02-21","cited_by_count":6,"area":null},{"id":"2204.02922","title":"Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding","created":"2022-04-06","cited_by_count":6,"area":null},{"id":"2309.05238","title":"Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation","created":"2023-09-11","cited_by_count":6,"area":null},{"id":"2502.04645","title":"Pathway to Relevance: How Cross-Encoders Implement a Semantic Variant of BM25","created":"2025-02-07","cited_by_count":6,"area":null},{"id":"2107.02102","title":"Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints","created":"2021-07-05","cited_by_count":4,"area":null},{"id":"2407.09395","title":"Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce","created":"2024-07-12","cited_by_count":4,"area":null},{"id":"2501.13959","title":"Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization","created":"2025-01-21","cited_by_count":4,"area":null},{"id":"2106.16053","title":"News Article Retrieval in Context for Event-centric Narrative Creation","created":"2021-06-30","cited_by_count":3,"area":null},{"id":"2108.05652","title":"Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm","created":"2021-08-12","cited_by_count":2,"area":null},{"id":"2207.02008","title":"Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching","created":"2022-07-05","cited_by_count":2,"area":null},{"id":"2209.06583","title":"Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?","created":"2022-09-14","cited_by_count":2,"area":null},{"id":"2312.05696","title":"GPT-4 and Safety Case Generation: An Exploratory Analysis","created":"2023-12-09","cited_by_count":2,"area":null},{"id":"2210.05145","title":"Retrieval Augmentation for T5 Re-ranker using External Sources","created":"2022-10-11","cited_by_count":1,"area":null},{"id":"2312.14279","title":"Characterizing and Classifying Developer Forum Posts with their Intentions","created":"2023-12-21","cited_by_count":1,"area":null},{"id":"2401.13398","title":"Text Categorization Can Enhance Domain-Agnostic Stopword Extraction","created":"2024-01-24","cited_by_count":1,"area":null},{"id":"2411.12156","title":"HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives","created":"2024-11-19","cited_by_count":1,"area":null},{"id":"2101.09101","title":"A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization","created":"2021-01-22","cited_by_count":0,"area":null},{"id":"2104.06529","title":"BERT Embeddings Can Track Context in Conversational Search","created":"2021-04-13","cited_by_count":0,"area":null},{"id":"2108.06014","title":"TPRM: A Topic-based Personalized Ranking Model for Web Search","created":"2021-08-13","cited_by_count":0,"area":null},{"id":"2204.07233","title":"How Different are Pre-trained Transformers for Text Ranking?","created":"2022-04-05","cited_by_count":0,"area":null},{"id":"2210.16461","title":"Sentiment Classification of Code-Switched Text using Pre-trained Multilingual Embeddings and Segmentation","created":"2022-10-29","cited_by_count":0,"area":null},{"id":"2212.07126","title":"Explainability of Text Processing and Retrieval Methods: A Survey","created":"2022-12-14","cited_by_count":0,"area":null},{"id":"2307.00370","title":"Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model","created":"2023-07-01","cited_by_count":0,"area":null},{"id":"2310.03043","title":"A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback","created":"2023-10-03","cited_by_count":0,"area":null},{"id":"2402.02932","title":"Domain Adaptation of Multilingual Semantic Search -- Literature Review","created":"2024-02-05","cited_by_count":0,"area":null},{"id":"2503.18395","title":"PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction","created":"2025-03-24","cited_by_count":0,"area":null},{"id":"2508.09636","title":"Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data","created":"2025-08-13","cited_by_count":0,"area":null}],"next_cursor":null}