Papers with LLM-based reranking strategies

1 papers
LitSearch: A Retrieval Benchmark for Scientific Literature Search (2024.emnlp-main)

Copied to clipboard

Challenge: Literature search questions pose significant challenges for modern retrieval systems . a lack of domain expertise and reasoning through lengthy papers is a challenge .
Approach: They propose a retrieval benchmark for literature search queries using inline citations from papers and questions about recently published papers.
Outcome: The proposed retrieval benchmarks outperform state-of-the-art retrieval models and reranking pipelines.

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