Papers with inflating

2 papers
Inflate and Shrink:Enriching and Reducing Interactions for Fast Text-Image Retrieval (2021.emnlp-main)

Copied to clipboard

Challenge: a recent study shows that late-interaction methods trade off retrieval accuracy and efficiency by exploiting cross-modal interactions only in the late stage.
Approach: They propose an inflating and shrinking approach to exploit cross-modal interactions . they inflate code inputs and shrink code outputs to exploit interactions progressively .
Outcome: The proposed method exploits cross-modal interactions in the late stage to achieve retrieval speed.
DCR: Quantifying Data Contamination in LLMs Evaluation (2025.emnlp-main)

Copied to clipboard

Challenge: Large language models (LLMs) memorize evaluation data during training, inflating performance metrics and undermining genuine generalization assessment.
Approach: They propose a framework to detect and quantify benchmark data contamination (BDC) by synthesizing contamination scores via a fuzzy inference system.
Outcome: The proposed framework detects and quantifies BDC risk across semantic, informational, data, and label levels.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations