Search Results for author:
Found 6 papers, 2 papers with code
Prompt4Vis: Prompting Large Language Models with Example Mining and Schema Filtering for Tabular Data Visualization
Data visualization (DV) systems are increasingly recognized for their profound capability to uncover insights from vast datasets, gaining attention across both industry and academia.
Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval
Dense retrieval has made significant advancements in information retrieval (IR) by achieving high levels of effectiveness while maintaining online efficiency during a single-pass retrieval process.
Defense of Adversarial Ranking Attack in Text Retrieval: Benchmark and Baseline via Detection
Neural ranking models (NRMs) have undergone significant development and have become integral components of information retrieval (IR) systems.
Towards Imperceptible Document Manipulations against Neural Ranking Models
Additionally, current methods rely heavily on the use of a well-imitated surrogate NRM to guarantee the attack effect, which makes them difficult to use in practice.
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective
Knowledge graph completion (KGC) aims to infer missing knowledge triples based on known facts in a knowledge graph.
Simplified TinyBERT: Knowledge Distillation for Document Retrieval
Despite the effectiveness of utilizing the BERT model for document ranking, the high computational cost of such approaches limits their uses.
