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Text Retrieval

Text Retrieval is the task of finding the most text result (such as an answer, paragraph, or passage) given a query (which could be a question, keywords, or any relevant text)

Papers

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Showing 251–275 of 671 papers

TitleStatusHype
A Hybrid Retrieval-Generation Neural Conversation ModelCode0
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late InteractionCode0
Exposing and Mitigating Spurious Correlations for Cross-Modal RetrievalCode0
Single-Stream Multi-Level Alignment for Vision-Language PretrainingCode0
Exploiting Positional Bias for Query-Agnostic Generative Content in SearchCode0
Explaining Text Similarity in Transformer ModelsCode0
ProCIS: A Benchmark for Proactive Retrieval in ConversationsCode0
Expertized Caption Auto-Enhancement for Video-Text RetrievalCode0
Refining Joint Text and Source Code Embeddings for Retrieval Task with Parameter-Efficient Fine-TuningCode0
ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase GenerationCode0
Partial Scene Text RetrievalCode0
Pre-trained Language Models Can be Fully Zero-Shot LearnersCode0
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest NeighborsCode0
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense RetrievalCode0
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional ExpertsCode0
Enhancing Image-Text Matching with Adaptive Feature AggregationCode0
On Using GUI Interaction Data to Improve Text Retrieval-based Bug LocalizationCode0
Image Chat: Engaging Grounded ConversationsCode0
OTE: Exploring Accurate Scene Text Recognition Using One TokenCode0
Embracing Language Inclusivity and Diversity in CLIP through Continual Language LearningCode0
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News RecommendationCode0
Object-Aware Query Perturbation for Cross-Modal Image-Text RetrievalCode0
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectivesCode0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
Neurocache: Efficient Vector Retrieval for Long-range Language ModelingCode0
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