Papers by Yunjiang Jiang

1 papers
pEBR: A Probabilistic Approach to Embedding Based Retrieval (2025.emnlp-industry)

Copied to clipboard

Challenge: Existing embedding-based retrieval systems rely on heuristic and suboptimal cutoffs for item retrieval.
Approach: They propose a probabilistic Embedding-Based Retrieval framework that learns a shared semantic representation space for both queries and items.
Outcome: The proposed framework improves retrieval precision and recall, and ablation studies show it captures the differences between head-to-tail queries.

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